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An introduction to persistency management and the Berkeley DB system.
Introduction to persistency and Berkeley DB
Introduction to persistency and Berkeley DB
Philip Johnson
The presentation describes a tool for validating and previewing instances of Schema.org JobPosting described in structured data markup embedded in web pages. The validator and preview was developed to assist users of Schema.org to produce data of better quality. In this way, it tries to enhance usability of a part of Schema.org covering the domain of job postings. The paper discusses implementation of the tool and design of its validation rules based on SPARQL 1.1. Results of experimental validation of a job posting corpus harvested from the Web are presented. Among other findings, the results indicate that publishers of Schema.org JobPosting data often misunderstand precedence rules employed by markup parsers and that they ignore case-sensitivity of vocabulary names.
EC-WEB: Validator and Preview for the JobPosting Data Model of Schema.org
EC-WEB: Validator and Preview for the JobPosting Data Model of Schema.org
Jindřich Mynarz
Presentation of my work "Using Linked Data Traversal to Label Academic Communities" at the SAVE-SD workshop, co-located with the 24th International World Wide Web Conference at Florence, Italy
Using Linked Data Traversal to Label Academic Communities - SAVE-SD2015
Using Linked Data Traversal to Label Academic Communities - SAVE-SD2015
Vrije Universiteit Amsterdam
2011 05-02 linked data intro
2011 05-02 linked data intro
vafopoulos
2011 05-01 linked data
2011 05-01 linked data
vafopoulos
One of the most important components of research is access to quality data. Digital data archives must work to increase submission rates to insure that quality data exist for future researchers. This is a challenge given that recent studies show that vast amounts of data collected during publicly funded projects are not being archived. Even the best-planned methodology will not succeed when researchers use tainted data or fail to find adequate data. Social science data archivists play a key role in the effort to maintain quality sources of data for social science investigators to repurpose and reuse. The dynamic, circular movement of data between the producers and archives is critical to the future of social science research. Data archives have historically provided for this data interchange using considerable human capital. Dedicated archivists and investigators have worked together to ensure that data were processed and placed into an archive best designed for their preservation, a manual process that has become increasingly expensive and unwieldy due to the volume of data being produced and the advanced metadata required to provide future researchers enough details to reuse the study. Typical methods have the researchers working with the archives to deposit the data long after the project has been complete and the papers published. The manual creation of metadata at this point takes far long than if it were collected earlier in the research life cycle. Recent advances in archival repository software may be the key to streamlining this increasingly inefficient archival process by allowing archivist and researchers the ability to create detailed metadata earlier in the research lifecycle at a point where it will take far less time. Software allows researchers greater personal control over archival ingest processes, bridging the gap between researchers and archives and possibly increasing submission rates of valuable data to archives. Archival technology provides tools that manage automated ingest, data cataloging, advanced search and indexing, and rights and access issues. Archival tools also provide proper citation, creation of persistent identifiers, automatic creation of preservation formats, format migration, and statistical analysis of data. Customized branding and citation management can provide investigators collecting these data with a tool that will ensure that they get the credit they deserve. The Dataverse Network Technology has the potential to aid many research groups at UNC in the data management processes and has the potential for use in many disciplines. This presentation will explain the technology and its applicability for managing research data.
Using Dataverse Virtual Archive Technology for Research Data Management
Using Dataverse Virtual Archive Technology for Research Data Management
Gary Wilhelm
Current efforts in using bibFrame and Linked Data to communicate library data and embed it into the semantic web
Beyond the catalogue : BibFrame, Linked Data and Ending the Invisible Library
Beyond the catalogue : BibFrame, Linked Data and Ending the Invisible Library
Ksenija Mincic Obradovic
For many organisations it has become obvious that knowledge graphs and taxonomies are key elements in order to solve several issues in information and data management. Nevertheless, various methods to develop and maintain those are being discussed and it often remains unclear which of them should be applied. The PoolParty approach (http://www.poolparty.biz/see-how-it-works/) envisages an initial simple taxonomy (based on SKOS) to become more and more extended over time, e.g. by the application of ontologies, rules, graph mappings and linked data harvesting. This gradual approach has turned out to be a more practicable way for most industries in contrast to start with sophisticated ontologies first. This slidedeck also provides a comprehensive overview over the new features of PoolParty version 5. Apart from minor improvements and fixes, users of PoolParty 5 benefit from the following new features and major improvements: . Highly precise entity extraction . Deep integration with SharePoint & Drupal . Fully integrated web crawler . Refined look & feel, and . Full-blown ontology management & semantic reasoning. Find live demos of linked data applications based on PoolParty Semantic Platform. For example, a semantic search application, which is fully based on an RDF graph store and the standards-based query language SPARQL.
PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform
PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform
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Recommended
An introduction to persistency management and the Berkeley DB system.
Introduction to persistency and Berkeley DB
Introduction to persistency and Berkeley DB
Philip Johnson
The presentation describes a tool for validating and previewing instances of Schema.org JobPosting described in structured data markup embedded in web pages. The validator and preview was developed to assist users of Schema.org to produce data of better quality. In this way, it tries to enhance usability of a part of Schema.org covering the domain of job postings. The paper discusses implementation of the tool and design of its validation rules based on SPARQL 1.1. Results of experimental validation of a job posting corpus harvested from the Web are presented. Among other findings, the results indicate that publishers of Schema.org JobPosting data often misunderstand precedence rules employed by markup parsers and that they ignore case-sensitivity of vocabulary names.
EC-WEB: Validator and Preview for the JobPosting Data Model of Schema.org
EC-WEB: Validator and Preview for the JobPosting Data Model of Schema.org
Jindřich Mynarz
Presentation of my work "Using Linked Data Traversal to Label Academic Communities" at the SAVE-SD workshop, co-located with the 24th International World Wide Web Conference at Florence, Italy
Using Linked Data Traversal to Label Academic Communities - SAVE-SD2015
Using Linked Data Traversal to Label Academic Communities - SAVE-SD2015
Vrije Universiteit Amsterdam
2011 05-02 linked data intro
2011 05-02 linked data intro
vafopoulos
2011 05-01 linked data
2011 05-01 linked data
vafopoulos
One of the most important components of research is access to quality data. Digital data archives must work to increase submission rates to insure that quality data exist for future researchers. This is a challenge given that recent studies show that vast amounts of data collected during publicly funded projects are not being archived. Even the best-planned methodology will not succeed when researchers use tainted data or fail to find adequate data. Social science data archivists play a key role in the effort to maintain quality sources of data for social science investigators to repurpose and reuse. The dynamic, circular movement of data between the producers and archives is critical to the future of social science research. Data archives have historically provided for this data interchange using considerable human capital. Dedicated archivists and investigators have worked together to ensure that data were processed and placed into an archive best designed for their preservation, a manual process that has become increasingly expensive and unwieldy due to the volume of data being produced and the advanced metadata required to provide future researchers enough details to reuse the study. Typical methods have the researchers working with the archives to deposit the data long after the project has been complete and the papers published. The manual creation of metadata at this point takes far long than if it were collected earlier in the research life cycle. Recent advances in archival repository software may be the key to streamlining this increasingly inefficient archival process by allowing archivist and researchers the ability to create detailed metadata earlier in the research lifecycle at a point where it will take far less time. Software allows researchers greater personal control over archival ingest processes, bridging the gap between researchers and archives and possibly increasing submission rates of valuable data to archives. Archival technology provides tools that manage automated ingest, data cataloging, advanced search and indexing, and rights and access issues. Archival tools also provide proper citation, creation of persistent identifiers, automatic creation of preservation formats, format migration, and statistical analysis of data. Customized branding and citation management can provide investigators collecting these data with a tool that will ensure that they get the credit they deserve. The Dataverse Network Technology has the potential to aid many research groups at UNC in the data management processes and has the potential for use in many disciplines. This presentation will explain the technology and its applicability for managing research data.
Using Dataverse Virtual Archive Technology for Research Data Management
Using Dataverse Virtual Archive Technology for Research Data Management
Gary Wilhelm
Current efforts in using bibFrame and Linked Data to communicate library data and embed it into the semantic web
Beyond the catalogue : BibFrame, Linked Data and Ending the Invisible Library
Beyond the catalogue : BibFrame, Linked Data and Ending the Invisible Library
Ksenija Mincic Obradovic
For many organisations it has become obvious that knowledge graphs and taxonomies are key elements in order to solve several issues in information and data management. Nevertheless, various methods to develop and maintain those are being discussed and it often remains unclear which of them should be applied. The PoolParty approach (http://www.poolparty.biz/see-how-it-works/) envisages an initial simple taxonomy (based on SKOS) to become more and more extended over time, e.g. by the application of ontologies, rules, graph mappings and linked data harvesting. This gradual approach has turned out to be a more practicable way for most industries in contrast to start with sophisticated ontologies first. This slidedeck also provides a comprehensive overview over the new features of PoolParty version 5. Apart from minor improvements and fixes, users of PoolParty 5 benefit from the following new features and major improvements: . Highly precise entity extraction . Deep integration with SharePoint & Drupal . Fully integrated web crawler . Refined look & feel, and . Full-blown ontology management & semantic reasoning. Find live demos of linked data applications based on PoolParty Semantic Platform. For example, a semantic search application, which is fully based on an RDF graph store and the standards-based query language SPARQL.
PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform
PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform
Semantic Web Company
Scientists have standardized on the SI unit system since the late 1700’s. While much work has been done over the years to refine and redefine the system, little has formally done to standardize the representation of the SI units in electronic systems. This paper will present a summary of current efforts toward electronic representation of scientific units in text, XML, and RDF, an analysis of needs for current computer/network systems, and an outline of future work.
Scientific Units in the Electronic Age
Scientific Units in the Electronic Age
Stuart Chalk
Presentation by Eva Méndez from Carlos III University, Madrid, at the RDA National event in Florence Italy, 14-15 November 2016
"Cool" metadata for FAIR data
"Cool" metadata for FAIR data
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This presentation talks about problems related to big data clean up. It discusses various approaches at the University of Auckland Libraries and Learning services and gives two projects as examples.
Large Scale Data Clean-ups & Challenges for the Library
Large Scale Data Clean-ups & Challenges for the Library
Ksenija Mincic Obradovic
Web pages increasingly embed structured data in the form of microdata, microformats and RDFa. Through efforts such as schema.org, such embedded markup have become prevalent, with current studies estimating an adoption by about 26% of all web pages. Similar to the early adoption of Linked Data principles by publishers, libraries and other providers of bibliographic data, such organisations have been among the early adopters, providing an unprecedented source of structured data about scholarly works. Such data, however, is fundamentally different from traditional Linked Data, by being very sparsely linked and consisting of a large amount of coreferences and redundant statements. So far, the scale and nature of embedded scholarly data on the Web has not been investigated. In this work, we provide a study on embedded scholarly data to answer research questions about the depth, syntactic and semantic characteristics and distribution of extracted data, thereby investigating challenges and opportunities for using embedded data as a structured knowledge graph of scholarly information.
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Ujwal Gadiraju
Presentation by Antonio Rosato, CERM, at RDA National Event in Florence, Italy, November 2016
INSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology Infrastructure
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Presentation from Semantics 2016
Enterprise knowledge graphs
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Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Jeff Z. Pan
Slides to introduce my research group and myself to the members of KILT Group
Presentation to KILT
Presentation to KILT
Daniel Fernández Álvarez
See why PoolParty is the most efficient thesaurus management tool on planet earth. See how to integrate PoolParty semantic technologies with SharePoint, Confluence or Drupal. With PoolParty Semantic Integrator complex queries can be executed: Combine text search with the power of knowledge graphs!
PoolParty 4 - From Text Mining to Linked Data
PoolParty 4 - From Text Mining to Linked Data
Semantic Web Company
This presentation was given at the WDCC Meetup Practical Applications of Linked Data on September 26th at the Wageningen University & Research (WUR). The intention of this presentation was to give the audience an idea of how Linked Data works and what the role of Linked Data can be for better cross border and cross disciplinary research and more open and better connected research data when you want e.g. to build an international open research data infrastructure like EOSC using a GO FAIR approach. #LinkedData #OpenAcess #OpenScience #OpenResearchData #interoperabilty #connectivity #DataSharing #SmartCollaboration #NoUnnecessaryDataCopies #RDF #triples #URIs #PIDs #taxonomies #thesauri #ontologies #vocabularies #SKOS #RDFS #OWL #SHACL #SPARQL #OpenAPIs #REST #KnowledgeGraphs #DataClouds #CrossBorder #CrossDomain #CrossDisciplinary #FAIR #GOFAIR #FAIRification #FAIRifier #FDPs #FAIRDataPoints #IFDS #InternetOfFAIRDataAndServices #EOSC #EuropeanOpenScienceCloud #Solid #PODS #DataOwnership #GDPR #AVG #CompatibleDataShapes #MetadataShapes
Weaving a Web of Linked Data - September 26th, 2019
Weaving a Web of Linked Data - September 26th, 2019
Platform Linked Data Netherlands (PLDN)
Ontologies and semantic web
Ontologies and semantic web
Ontologies and semantic web
Stanley Wang
These slides are by Steve Doig, journalism professor at ASU's Cronkite School and Pulitzer-winning journalist. The slides are from Doig's workshop Excel for Journalists, part of the School of Data Journalism 2013 at the International Journalism Festival, Perugia.
Precision Journalism by Steve Doig
Precision Journalism by Steve Doig
Liliana Bounegru
PoolParty is a world-leading semantic technology platform focusing on standards-based management of taxonomies and ontologies. Its outstanding text mining capabilities based on controlled vocabularies open up new options for masterdata and information management. Try out a powerful thesaurus management system and entity extractor. See how easily knowledge models can be generated with PoolParty, and learn how linked open data can enrich your own thesaurus. Get an impression how simple it is to publish a knowledge model as linked open data and test our text mining component. PoolParty Thesaurus Server (PPT) is an advanced software platform to manage enterprise metadata and linked data based on semantic knowledge models (taxonomies, thesauri, ontologies and knowledge graphs). PPT´s metadata management is based on W3C´s Semantic Web standards RDF, SKOS and OWL and is combined with text mining and linked data mapping technologies. PoolParty´s API (based on W3C´s SPARQL standard) allows the integration of semantic technologies with other systems like search engines, CMS, DMS, web shops or Wikis. In addition, PoolParty Enterprise Server offers outstanding facilities based on PoolParty Extractor that allow text mining over large document collections. PoolParty knowledge modeling approach combines best-of-breed approaches of the semantic web (text corpus analysis, entity extraction, linked data enrichment, SKOS thesaurus management). This enables thesaurus managers to build, maintain and publish even the largest and most complex knowledge models built on top of RDF Schema and SKOS. Application scenarios web-based thesaurus-, vocabulary- and taxonomy-management based on open standards; (semi-)automatic annotation and categorisation of documents with high precision; thesaurus- and linked data publishing on the web and on the intranet (Sharepoint, Confluence etc.) as a basis to build semantic mash-ups; data integration from different sources (structured and unstructured) based on flexible metadata models;
PoolParty Semantic Platform - Overview
PoolParty Semantic Platform - Overview
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These slides are from a DCMI/ASIS&T webinar on metadata application profiles. It gives a high level introduction to profiles, provides examples of what they might look like, and shows some work being done through W3C and DCMI.
An introduction to Metadata Application Profiles
An introduction to Metadata Application Profiles
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Talk at WWW2017 on LRMI adoption, quality and usage. Full paper here: http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/companion/p283.pdf.
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Analysing & Improving Learning Resources Markup on the Web
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euclid_linkedup WWW tutorial (Besnik Fetahu)
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Using OWL for the RESO Data Dictionary
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Usage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application Scenarios
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Scientists have standardized on the SI unit system since the late 1700’s. While much work has been done over the years to refine and redefine the system, little has formally done to standardize the representation of the SI units in electronic systems. This paper will present a summary of current efforts toward electronic representation of scientific units in text, XML, and RDF, an analysis of needs for current computer/network systems, and an outline of future work.
Scientific Units in the Electronic Age
Scientific Units in the Electronic Age
Stuart Chalk
Presentation by Eva Méndez from Carlos III University, Madrid, at the RDA National event in Florence Italy, 14-15 November 2016
"Cool" metadata for FAIR data
"Cool" metadata for FAIR data
Research Data Alliance
This presentation talks about problems related to big data clean up. It discusses various approaches at the University of Auckland Libraries and Learning services and gives two projects as examples.
Large Scale Data Clean-ups & Challenges for the Library
Large Scale Data Clean-ups & Challenges for the Library
Ksenija Mincic Obradovic
Web pages increasingly embed structured data in the form of microdata, microformats and RDFa. Through efforts such as schema.org, such embedded markup have become prevalent, with current studies estimating an adoption by about 26% of all web pages. Similar to the early adoption of Linked Data principles by publishers, libraries and other providers of bibliographic data, such organisations have been among the early adopters, providing an unprecedented source of structured data about scholarly works. Such data, however, is fundamentally different from traditional Linked Data, by being very sparsely linked and consisting of a large amount of coreferences and redundant statements. So far, the scale and nature of embedded scholarly data on the Web has not been investigated. In this work, we provide a study on embedded scholarly data to answer research questions about the depth, syntactic and semantic characteristics and distribution of extracted data, thereby investigating challenges and opportunities for using embedded data as a structured knowledge graph of scholarly information.
Analysing Structured Scholarly Data Embedded in Web Pages
Analysing Structured Scholarly Data Embedded in Web Pages
Ujwal Gadiraju
Presentation by Antonio Rosato, CERM, at RDA National Event in Florence, Italy, November 2016
INSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology Infrastructure
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Presentation from Semantics 2016
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Enterprise knowledge graphs
Sören Auer
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Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Jeff Z. Pan
Slides to introduce my research group and myself to the members of KILT Group
Presentation to KILT
Presentation to KILT
Daniel Fernández Álvarez
See why PoolParty is the most efficient thesaurus management tool on planet earth. See how to integrate PoolParty semantic technologies with SharePoint, Confluence or Drupal. With PoolParty Semantic Integrator complex queries can be executed: Combine text search with the power of knowledge graphs!
PoolParty 4 - From Text Mining to Linked Data
PoolParty 4 - From Text Mining to Linked Data
Semantic Web Company
This presentation was given at the WDCC Meetup Practical Applications of Linked Data on September 26th at the Wageningen University & Research (WUR). The intention of this presentation was to give the audience an idea of how Linked Data works and what the role of Linked Data can be for better cross border and cross disciplinary research and more open and better connected research data when you want e.g. to build an international open research data infrastructure like EOSC using a GO FAIR approach. #LinkedData #OpenAcess #OpenScience #OpenResearchData #interoperabilty #connectivity #DataSharing #SmartCollaboration #NoUnnecessaryDataCopies #RDF #triples #URIs #PIDs #taxonomies #thesauri #ontologies #vocabularies #SKOS #RDFS #OWL #SHACL #SPARQL #OpenAPIs #REST #KnowledgeGraphs #DataClouds #CrossBorder #CrossDomain #CrossDisciplinary #FAIR #GOFAIR #FAIRification #FAIRifier #FDPs #FAIRDataPoints #IFDS #InternetOfFAIRDataAndServices #EOSC #EuropeanOpenScienceCloud #Solid #PODS #DataOwnership #GDPR #AVG #CompatibleDataShapes #MetadataShapes
Weaving a Web of Linked Data - September 26th, 2019
Weaving a Web of Linked Data - September 26th, 2019
Platform Linked Data Netherlands (PLDN)
Ontologies and semantic web
Ontologies and semantic web
Ontologies and semantic web
Stanley Wang
These slides are by Steve Doig, journalism professor at ASU's Cronkite School and Pulitzer-winning journalist. The slides are from Doig's workshop Excel for Journalists, part of the School of Data Journalism 2013 at the International Journalism Festival, Perugia.
Precision Journalism by Steve Doig
Precision Journalism by Steve Doig
Liliana Bounegru
PoolParty is a world-leading semantic technology platform focusing on standards-based management of taxonomies and ontologies. Its outstanding text mining capabilities based on controlled vocabularies open up new options for masterdata and information management. Try out a powerful thesaurus management system and entity extractor. See how easily knowledge models can be generated with PoolParty, and learn how linked open data can enrich your own thesaurus. Get an impression how simple it is to publish a knowledge model as linked open data and test our text mining component. PoolParty Thesaurus Server (PPT) is an advanced software platform to manage enterprise metadata and linked data based on semantic knowledge models (taxonomies, thesauri, ontologies and knowledge graphs). PPT´s metadata management is based on W3C´s Semantic Web standards RDF, SKOS and OWL and is combined with text mining and linked data mapping technologies. PoolParty´s API (based on W3C´s SPARQL standard) allows the integration of semantic technologies with other systems like search engines, CMS, DMS, web shops or Wikis. In addition, PoolParty Enterprise Server offers outstanding facilities based on PoolParty Extractor that allow text mining over large document collections. PoolParty knowledge modeling approach combines best-of-breed approaches of the semantic web (text corpus analysis, entity extraction, linked data enrichment, SKOS thesaurus management). This enables thesaurus managers to build, maintain and publish even the largest and most complex knowledge models built on top of RDF Schema and SKOS. Application scenarios web-based thesaurus-, vocabulary- and taxonomy-management based on open standards; (semi-)automatic annotation and categorisation of documents with high precision; thesaurus- and linked data publishing on the web and on the intranet (Sharepoint, Confluence etc.) as a basis to build semantic mash-ups; data integration from different sources (structured and unstructured) based on flexible metadata models;
PoolParty Semantic Platform - Overview
PoolParty Semantic Platform - Overview
Semantic Web Company
These slides are from a DCMI/ASIS&T webinar on metadata application profiles. It gives a high level introduction to profiles, provides examples of what they might look like, and shows some work being done through W3C and DCMI.
An introduction to Metadata Application Profiles
An introduction to Metadata Application Profiles
kcoylenet
Talk at WWW2017 on LRMI adoption, quality and usage. Full paper here: http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/companion/p283.pdf.
Analysing & Improving Learning Resources Markup on the Web
Analysing & Improving Learning Resources Markup on the Web
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euclid_linkedup WWW tutorial (Besnik Fetahu)
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An ontology is a computational artifact used to describe a conceptualization of some part of the world via precise, descriptive statements. In this presentation, we discuss the features of the W3C's Ontology Web Language (OWL) and how it can be used to reduce ambiguity in the semantics (i.e., the meaning) of Data Dictionary terminology.
Using OWL for the RESO Data Dictionary
Using OWL for the RESO Data Dictionary
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Giving Credit Where Credit is Due: Author and Funder IDs
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Usage of Linked Data: Introduction and Application Scenarios
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(20)
Scientific Units in the Electronic Age
Scientific Units in the Electronic Age
"Cool" metadata for FAIR data
"Cool" metadata for FAIR data
Large Scale Data Clean-ups & Challenges for the Library
Large Scale Data Clean-ups & Challenges for the Library
Analysing Structured Scholarly Data Embedded in Web Pages
Analysing Structured Scholarly Data Embedded in Web Pages
INSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology Infrastructure
Enterprise knowledge graphs
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Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Presentation to KILT
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PoolParty 4 - From Text Mining to Linked Data
PoolParty 4 - From Text Mining to Linked Data
Weaving a Web of Linked Data - September 26th, 2019
Weaving a Web of Linked Data - September 26th, 2019
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Ontologies and semantic web
Precision Journalism by Steve Doig
Precision Journalism by Steve Doig
PoolParty Semantic Platform - Overview
PoolParty Semantic Platform - Overview
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An introduction to Metadata Application Profiles
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Analysing & Improving Learning Resources Markup on the Web
euclid_linkedup WWW tutorial (Besnik Fetahu)
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Using OWL for the RESO Data Dictionary
Using OWL for the RESO Data Dictionary
Giving Credit Where Credit is Due: Author and Funder IDs
Giving Credit Where Credit is Due: Author and Funder IDs
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Data Sharing & Data Citation
Micah Altman
Tutorial at "The Data Matters Series – Transforming Service Industry via Big Data Analytics", May 4, 2016, Cyberjaya, Malaysia http://www.eventbrite.com/e/the-data-matters-series-transforming-service-industry-via-big-data-analytics-tickets-24617911837
DataGraft: Data-as-a-Service for Open Data
DataGraft: Data-as-a-Service for Open Data
dapaasproject
The current movement toward openness and sharing of data is likely to have a profound effect on the speed of scientific research and the complexity of questions we can answer. However, a fundamental problem with currently available datasets (and their metadata) is heterogeneity in terms of implementation, organization, and representation. To address this issue we have developed a generic scientific data model (SDM) to organize and annotate raw and processed data, and the associated metadata. This paper will present the current status of the SDM, implementation of the SDM in JSON-LD, and the associated scientific data model ontology (SDMO). Example usage of the SDM to store data from a variety of sources with be discussed along with future plans for the work.
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
Stuart Chalk
Doing for Data what Pubmed did for literature: DATS a model for dataset description datasets indexing and data discovery. Googleslides [https://goo.gl/cd5KKa] or Slideshare [https://goo.gl/c8DH5N]
Dats nih-dccpc-kc7-april2018-prs-uoxf
Dats nih-dccpc-kc7-april2018-prs-uoxf
Philippe Rocca-Serra
Metadata in clinical healthcare practice. Start making sense of your data and make it F.A.I.R
Nordic health data metadata
Nordic health data metadata
Fredric Landqvist
In this webinar Janet Sylvia, Web Accessibility Consultant, will provide 10 Tips for building an accessible online course. This presentation is for anyone involved in the web-based delivery of academic classes, continuing education, employee training, professional development or other programs. How do you ensure your online course is equally accessible for people with and without disabilities?
10 Tips for Building an Accessible Online Course
10 Tips for Building an Accessible Online Course
3Play Media
Presentation given to Foundations of Data Curation course at University of Illinois Urbana-Champaign. The slides were "delivered" to a fictional organization.
Foundations of Data Curation Final Project
Foundations of Data Curation Final Project
kmschmitt
Esshc presentation ashkan
Esshc presentation ashkan
Esshc presentation ashkan
Bram van den Hout
Talis Insight Europe 2017 - Using Talis data with other datasets - Tim Hodson
Talis Insight Europe 2017 - Using Talis data with other datasets - Tim Hodson
Talis
Multidisciplinary engineer and entrepreneur David Wood discusses the reasons, approaches and success stories for structured data on the World Wide Web. Linked Data is placed in context with the rest of the Web and that context is used to suggest some areas ripe for entrepreneurial innovation.
Linked Data: Opportunities for Entrepreneurs
Linked Data: Opportunities for Entrepreneurs
3 Round Stones
1. Data Quality: data, metadata, linked data 2. The case of 840,000 cc licensed data 3. How LOD approach can improve data quality?
How to clean data less through Linked (Open Data) approach?
How to clean data less through Linked (Open Data) approach?
andrea huang
Describes the collaboration between the electronic resources librarian and the government documents librarian at the University of Memphis to incorporate government databases into the ERM.
Falling Over Free Resources
Falling Over Free Resources
Kay Cunningham
Document
Chapter 2 Cond (1).ppt
Chapter 2 Cond (1).ppt
kannaradhas
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Talis Insight Europe 2017 - Using Talis data with other datasets - Tim Hodson
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Falling Over Free Resources
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Chapter 2 Cond (1).ppt
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Some examples of my not-research...
15 in 20 research fiesta
15 in 20 research fiesta
Tony Hirst
whatever
Dev8d jupyter
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ILI 2016 presentation on robot writers
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Some past plays with parliament related data
ouseful-parlihacks
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Tony Hirst
GORS appropriate with notes
Gors appropriate
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Tony Hirst
Appropriating tools for tinkering with data
Gors appropriate
Gors appropriate
Tony Hirst
Random thoughts
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Robotlab jupyter
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Annotated slides on Open Data for Transparency
Fco open data in half day th-v2
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Slides (currently unannotated) to support the "Preparing for the Future: Technological Challenges and Beyond" workshop presented with Brian Kelly - http://ukwebfocus.com/events/ili-2015-preparing-for-the-future/ Note - slideshare seems to have messed up the conversion - some slides are (unintentionally) blank....
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Tony Hirst
Thoughts on data2txt relevant to hyperlocal journalists.
Community Journalism Conf - hyperlocal data wire
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Tony Hirst
Draft slides for OU residential school talk on robotics...
Residential school 2015_robotics_interest
Residential school 2015_robotics_interest
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Some preliminary thinks to think about in the context of data mining...
Data Mining - Separating Fact From Fiction - NetIKX
Data Mining - Separating Fact From Fiction - NetIKX
Tony Hirst
Week4
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A quick feature tour of OpenRefine, using an example open spending data dataset from Birmingham City Council.
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A Quick Tour of OpenRefine
Tony Hirst
#dalmooc 27/10/12 slides
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Tony Hirst
Bingo deck for data party games
Data reuse OU workshop bingo
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OU w/s presentation
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Residential school 2015_robotics_interest
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Data Mining - Separating Fact From Fiction - NetIKX
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Recently uploaded
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
writing some innovation for development and search
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sudhanshuwaghmare1
Presentation on how to chat with PDF using ChatGPT code interpreter
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naman860154
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
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Joaquim Jorge
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08448380779 Call Girls In Civil Lines Women Seeking Men
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Delhi Call girls
Cisco CCNA
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giselly40
These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
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TrustArc
Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx
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Igalia
45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
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wesley chun
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
The Digital Insurer
Slack App Development 101
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Slack Application Development 101 Slides
praypatel2
Discover the advantages of hiring UI/UX design services! Our blog explores how professional design can enhance user experiences, boost brand credibility, and increase customer engagement. Learn about the latest design trends and strategies that can help your business stand out in the digital landscape. Elevate your online presence with Pixlogix's expert UI/UX design services.
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Advantages of Hiring UIUX Design Service Providers for Your Business
Pixlogix Infotech
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How to convert PDF to text with Nanonets
naman860154
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
HampshireHUG
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
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TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
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Slack Application Development 101 Slides
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Open edudatawrangling
1.
Working with #opendata Tony
Hirst @psychemedia
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DATA USERS Educators Learners Planners Marketers Policymakers Researchers Press NGOs “ D E V E L O P E R S ”
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A tools and issues based
view
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DATA TOOLS USERS PROBLEMS
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Access/obtain data Make sense
of data Ask specific questions of data Communicate in a data-centric way
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Load data Clean data Merge/enrich
data
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DATA Issues TOOLS
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DATA Other TOOLS Issues TOOLS
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A barrier to
access (for the tool user) is data format
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JSON XMLCSVXLS TSV .db HTML PDF DOCTXT
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GLUE LOGIC(Glue code)
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=importHTML(URL, “table”, N) HTML QUERYABLE DATA
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=importHTML(URL, “table”, N) HTML INTERACTIVE DASHBOARD Google
Charts
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A barrier to
access (for the tool user) is data shape
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A barrier to
access (for the tool user) is data cleanliness
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Questions of identity
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The Open University Open
University OU Open Uni Open University, UK NORMALISATION/RECONCILIATION
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Reconciliation to a canonical
name and/or to a unique identifier
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A stumbling block (for
the data user) is data enrichment
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A stumbling block (for
the data user) is joining datasets
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A stumbling block (for
the data user) is joining partially matched data
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Rolling your own interactive
data exploration tools
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Google Visualisation API
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googleVis (R)
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R Shiny Apps
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ui.R server.R
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RCharts
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Many chart tools do
the work for you if the data is in the right shape
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DATA TOOLS USERS PROBLEMS
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blog.ouseful.info @psychemedia
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