A Framework Concept for Profiling Researchers on Twitter using the Web of Data

Social metrics for Research: Quantity and Quality

Choosing and using social software

Mark Berthelemy

Advancing the National Digital Platform: Survey Findings

OCLC

AGU2012: Creating a Collaborative Network for Scientists

This meta-analysis of 41 evaluation studies of the Europeana Digital Library categorizes them by their constructs, contexts, criteria, and methodologies using Saracevic’s digital library evaluation framework. The analysis shows that system-centered evaluations prevail over user-centered evaluations and evaluations from a societal or institutional perspective are missing. The study reveals, which Europeana components have received focused attention in the last decade (e.g. the metadata) and can serve as a reference for identifying gaps, selecting methodologies and re-using data for future evaluations.

A Decade of Evaluating Europeana: Constructs, Contexts, Methods & Criteria

Juliane Stiller

VIVO 2012: Connecting Researcher to Information - and Unlocking It!

Rensselaer Polytechnic Institute

Open science and its advocacy

Sarah Jones

Why should semantic technologies pay more attention to privacy... and vice-ve...

Mathieu d'Aquin

Robust Expert Finding in Web-Based Community Information Systems

Ralf Klamma

The Evidence Hub: Harnessing the Collective Intelligence of Communities to Bu...

Anna De Liddo

Open science, open data - FOSTER training, Potsdam

Platforma Otwartej Nauki

Intro to Web Science (Fall 2013)

Big Data and the Future of Publishing

Anita de Waard

Open Research methodologies

jessykate

Digital transformation is driving a new wave of large-scale datafication in every aspect of our world. Today our society creates data ecosystems where data moves among actors within complex information supply chains that can form around an organization, community, sector, or smart environment. These ecosystems of data can be exploited to transform our world and present new challenges and opportunities in the design of intelligent systems. This talk presents my recent work on using the dataspace paradigm as a best-effort approach to data management within data ecosystems. The talk explores the theoretical foundations and principles of dataspaces and details a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration of heterogeneous data sources. Finally, I share my perspectives on future dataspace research challenges, including multimedia data, data governance and the role of dataspaces to enable large-scale data sharing within Europe to power data-driven AI.

From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...

Edward Curry

Webometrics report

Orpha Mangaco

Mais procurados (18)

LinuxCon 2010 Education Mini-Summit: The State of Open Data in Education

Code4 lib2012

Social metrics for Research: Quantity and Quality

Choosing and using social software

Advancing the National Digital Platform: Survey Findings

AGU2012: Creating a Collaborative Network for Scientists

A Decade of Evaluating Europeana: Constructs, Contexts, Methods & Criteria

VIVO 2012: Connecting Researcher to Information - and Unlocking It!

Open science and its advocacy

Why should semantic technologies pay more attention to privacy... and vice-ve...

Robust Expert Finding in Web-Based Community Information Systems

The Evidence Hub: Harnessing the Collective Intelligence of Communities to Bu...

Open science, open data - FOSTER training, Potsdam

Intro to Web Science (Fall 2013)

Big Data and the Future of Publishing

Open Research methodologies

From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...

Webometrics report

Destaque

The DataTank, RML and Domain Modelling

Resources for research are not always easy to explore, and rarely come with strong support for identifying, linking and selecting those that can be of interest to scholars. In this work we introduce a model that uses state-of-the-art semantic technologies to interlink structured research data and data from Web collaboration tools, social media and Linked Open Data. We use this model to build a platform that connects scholars, using their proles as a starting point to explore novel and relevant content for their research. Scholars can easily adapt to evolving trends by synchronizing new social media accounts or collaboration tools and integrate then with new datasets. We evaluate our approach by a scenario of personalized exploration of research repositories where we analyze real world scholar profiles and compare them to a reference profile.

Aligning Web Collaboration Tools with Research Data for Scholars

Slides of LDOW2013 presentation, May 14th, Rio De Janeiro, Brazil We will show that semantically annotated paths lead to discovering meaningful, non-trivial relations and connections between multiple resources in large online datasets such as the Web of Data. Graph algorithms have always been key in pathfinding applications (e.g., navigation systems). They make optimal use of available computation resources to find paths in structured data. Applying these algorithms to Linked Data can facilitate the resolving of complex queries that involve the semantics of the relations between resources. In this paper, we introduce a new approach for finding paths in Linked Data that takes into account the meaning of the connections and also deals with scalability. An efficient technique combining pre-processing and indexing of datasets is used for finding paths between two resources in largedatasets within a couple of seconds. To demonstrate our approach, we have implemented a testcase using the DBpedia dataset.

Discovering Meaningful Connections between Resources in the Web of Data

Searching for relationships between Linked Data resources is typically interpreted as a pathfinding problem: looking for chains of intermediary nodes (hops) forming the connection or bridge between these resources in a single dataset or across multiple datasets. In many cases centralizing all needed linked data in a certain (specialized) repository or index to be able to run the algorithm is not possible or at least not desired. To address this, we propose an approach to top-k shortest pathfinding, which optimally translates a pathfinding query into se- quences of triple pattern fragment requests. Triple Pattern Fragments were recently introduced as a solution to address the availability of data on theWeb and the scalability of linked data client applications, preventing data processing bottlenecks on the server. The results are streamed to the client, thus allowing clients to do asynchronous processing of the top-k shortest paths. We explain how this approach behaves using a training dataset, a subset of DBpedia with 10 million triples, and show the trade-offs to a SPARQL approach where all the data is gathered in a single triple store on a single machine. Furthermore we investigate the scalability when increasing the size of the subset up to 110 million triples. Software Package (NodeJS): npmjs.com/package/everything_is_connected_engine

Using Triple Pattern Fragments To Enable Streaming of Top-k Shortest Paths vi...

Travelers expect access to tourism information at anytime, anywhere, with any media. Mobile tourism guides, accessible via the Web, provide an omnipresent approach to this. Thereby it is expensive and not trivial to (re)model, translate and transform data over and over. This inhibits many players, including governments, in developing such applications. We report on our experience in running a project on mobile tourism in Flanders, Belgium where we develop a methodology and reusable formalization for the data disclosure. We apply open data standards to achieve a reusable and interoperable datahub for mobile tourism. We organized working groups resulting in a re-usable formal specification and serialization of the domain model that is immediately usable for building mobile tourism applications. This increased the awareness and lead to semantic convergence which is forming a regional foundation to develop sustainable mobile guides for tourism.

Providing Interchangeable Open Data to Accelerate Development of Sustainable ...

We propose a framework to address an important challenge in the context of the ongoing adoption of the “Web 2.0” in science and research, often referred to as “Research 2.0”. Microblogging is one of the trends with increasing leverage. The challenge in this thesis is to connect users of microblogging services such as Twitter based on specific common entities that are representative and truly matter to them. We investigated the possibilities of using social data for locating an expert who shares a very specific research topic. To enrich and verify this social data we link such content to existing open data provided by the online community. We are using semantic technologies (RDF ,SPARQL), com- mon ontologies (SIOC, FOAF, DublinCore, SWRC) and Linked Data (DBpedia, GeoNames, CoLinDa) to extract and mine the data about scientific conferences out of context of microblogs. We are identifying users related to each other based on entities such as topics (tags), events, time, locations and persons (mentions). As a proof-of-concept we explain, implement and evaluate such a researcher profiling use case. It involves the development of a framework that focuses on the proposition of researches based on topics and conferences they have in common. This framework provides an API that allows quick access to the analyzed information. A demonstration application: “Researcher Affinity Browser” shows how the API supports developers to build rich internet applications for Research 2.0. This application also intro- duces the concept “affinity” that exposes the implicit proximity between entities and users based on the content users produced. The usability of a demonstration application and the usefulness of the framework itself are investigated with an explicit evaluation question- naire. This user feedback lead to important conclusions about successful achievements and opportunities to further improve this effort.

Researcher Profiling based on Semantic Analysis in Social Networks

Semantically annotating and interlinking Open Data results in Linked Open Data which concisely and unambiguously describes a knowledge domain.However, the uptake of the Linked Data depends on its usefulness to non-Semantic Web experts. Failing to support data consumers understanding the added-value of Linked Data and possible exploitation opportunities could inhibit its diffusion. In this paper, we propose an interactive visual workflow for discovering and exploring Linked Open Data. We implemented the workflow considering academic library metadata and carried out a qualitative evaluation. We assessed the workflow’s potential impact on data consumers which bridges the offer as published Linked Open Data, and the demand as requests for: (i) higher quality data; and (ii) more applications that re-use data. More than 70% of the 34 test users agreed that the workflow fulfills its goal: it facilitates non-Semantic Web experts to understand the potential of Linked Open Data

A Visual Exploration Workflow as Enabler for the Exploitation of Linked Open ...

Linked Data storage solutions often optimize for low latency querying and quick responsiveness. Meanwhile, in the back-end, offline ETL processes take care of integrating and preparing the data. In this paper we explain a workflow and the results of a benchmark that examines which Linked Data storage solution and setup should be chosen for different dataset sizes to optimize the cost-effectiveness of the entire ETL process. The benchmark executes diversified stress tests on the storage solutions. The results include an in-depth analysis of four mature Linked Data solutions with commercial support and full SPARQL 1.1 compliance. Whereas traditional benchmarks studies generally deploy the triple stores on premises using high-end hardware, this benchmark uses publicly available cloud machine images for reproducibility and runs on commodity hardware. All stores are tested using their default configuration. In this setting Virtuoso shows the best performance in general. The other tree stores show competitive results and have disjunct areas of excellence. Finally, it is shown that each store’s performance heavily depends on the structural properties of the queries, giving an indication of where vendors can focus their optimization efforts.

Big Linked Data ETL Benchmark on Cloud Commodity Hardware

Path-based storytelling with Linked Data on the Web provides users the ability to discover concepts in an entertaining and educational way. Given a query context, many state-of-the-art pathfinding approaches aim at telling a story that coincides with the user’s expectations by investigating paths over Linked Data on the Web. By taking into account serendipity in storytelling, we aim at improving and tailoring existing approaches towards better fitting user expectations so that users are able to discover interesting knowledge without feeling unsure or even lost in the story facts. To this end, we propose to optimize the link estimation between - and the selection of facts in a story by increasing the consistency and relevancy of links between facts through additional domain delineation and refinement steps. In order to address multiple aspects of serendipity, we propose and investigate combinations of weights and heuristics in paths forming the essential building blocks for each story. Our experimental findings with stories based on DBpedia indicate the improvements when applying the optimized algorithm.

Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data

Linked Data offers an entity-based infrastructure to resolve indirect relations between resources, expressed as chains of links. If we could benchmark how effective retrieving chains of links from these sources is, we can motivate why they are a reliable addition for exploratory search interfaces. A vast number of applications could reap the benefits from encouraging insights in this field. Especially all kinds of knowledge discovery tasks related for instance to ad-hoc decision support and digital assistance systems. In this paper, we explain a benchmark model for evaluating the effectiveness of associating chains of links with keyword-based queries. We illustrate the benchmark model with an example case using academic library and conference metadata where we measured precision involving targeted expert users and directed it towards search effectiveness. This kind of typical semantic search engine evaluation focusing on information retrieval metrics such as precision is typically biased towards the final result only. However, in an exploratory search scenario, the dynamics of the intermediary links that could lead to potentially relevant discoveries are not to be neglected.

Benchmarking the Effectiveness of Associating Chains of Links for Exploratory...

Each government level uses its own different information system. At the same time citizens expect that these governmental levels adopt a user-centric approach and provide instant access to their data or to open government data. Therefore the applications at various government levels need to be interoperable in support of the ‘once only-principle’: data is inputted and registered only once and then reused. Given government budget constraints and the cost and complexity of (re)modeling, translating and transforming data over and over, public administrations need to reduce interoperability costs. This is achieved by semantically aligning information between the different information systems of each government level. Semantical interoperable systems facilitate citizen-centered e-government services. This paper illustrates how the Open Standards for Linked Organizations program (OSLO) paved the way bottom-up from a broad basis of stakeholders towards a government-endorsed strategy. OSLO applied a generic process and methodology and provided practical insights on how to overcome the encountered hurdles: political support and adoption; reaching semantic agreement. The lessons learned in the region of Flanders (Belgium) can speed-up the process in other countries that face the complexity of integrating information intensive processes between different applications, administrations and government levels.

OSLO: Open Standards for Linked Organizations

Destaque (11)

The DataTank, RML and Domain Modelling

Aligning Web Collaboration Tools with Research Data for Scholars

Discovering Meaningful Connections between Resources in the Web of Data

Using Triple Pattern Fragments To Enable Streaming of Top-k Shortest Paths vi...

Providing Interchangeable Open Data to Accelerate Development of Sustainable ...

Researcher Profiling based on Semantic Analysis in Social Networks

A Visual Exploration Workflow as Enabler for the Exploitation of Linked Open ...

Big Linked Data ETL Benchmark on Cloud Commodity Hardware

Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data

Benchmarking the Effectiveness of Associating Chains of Links for Exploratory...

OSLO: Open Standards for Linked Organizations

Semelhante a A Framework Concept for Profiling Researchers on Twitter using the Web of Data

Open Education Challenge 2014: exploiting Linked Data in Educational Applicat...

Open Data & Education Seminar, ITMO, St Petersburg, March 2014

Over the past 10 years, research systems have evolved from systems that focused on how to structure and record information on research, to systems capable of allowing significant insights to be derived based upon years of high quality information. In 2015, the maturity of the information now collected within many Current Research Information Systems, and the insights that this can provide is of equal or greater value than the insights that could be gleaned from established externally provided research metrics platforms alone. The ability to intersect these external and internal worlds provides new levels of strategic insight not previously available. With the addition of platforms that track altmetrics, and their ability to connect university publications data with a constant flow of real time attention level metrics, an image of a dynamic network of systems emerges, connected together by ever turning ‘cogs’ pushing and translating information. Add to this, the success of ORCID as pervasive researcher identifier infrastructure, and CASRAI as the emerging social contract for information exchange, and it becomes possible to extend this network back from the systems that track and record research information, through to the platforms through which research knowledge is created. The ‘Mechanics’ of this network of systems is more than just getting the ‘plumbing’ right. As research information moves through the network, its audience and purpose changes, the requirements for contextual metadata can also change. This presentation will explore the lived experience of Research Data Mechanics at Digital Science though illustrating how connections between Figshare, Altmetric, Symplectic Elements, and Dimensions can both enhance research system capability and reduce the burden on researchers, and research administration.

Research Metadata Mechanics - Simon Porter

CASRAI

Big data in social sciences and IT developments (ethics considerations)

Efthimios Tambouris

Linked Data Love: research representation, discovery, and assessment #ALAAC15 The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities. Kristi Holmes, PhD Director, Galter Health Sciences Library Director of Evaluation, NUCATS Associate Professor, Preventive Medicine-Health and Biomedical Informatics Northwestern University Feinberg School of Medicine

#ALAAC15 Linked Data Love

Kristi Holmes

Introducing the Linked Data Research Centre

Michael Hausenblas

Authors: Paul van Genuchten, Lieke Verhelst, Clemens Portele Presented at the European Citizen Science Association conference Berlin, May 2016. One of the objectives of COBWEB is to publish citizen science data to GEOSS, the Global Earth Observation System of Systems. GEOSS has a focus on spatial standards (CSW, SensorWeb, WMS/WFS). However, a major part of citizen science community is not aware of these standards, and average users use search engines to discover data and common formats to analyse data. So how do we bridge the gap between services in GEOSS and search engines?

Wide access to spatial Citizen Science data - ECSA Berlin 2016

COBWEB Project

Experience from 10 months of University Linked Data

Mathieu d'Aquin

Putting the L in front: from Open Data to Linked Open Data

Martin Kaltenböck

Semantic Web / Linked Data Technologies

Mathieu d'Aquin

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

Platform Linked Data Netherlands (PLDN)

VREs and Research Tools - supporting collaborative research

Christopher Brown

dh_specialist_interview

Sasha Renninger

Frankfurt Big Data Lab & Refugee Projeect

Goethe Univeristy

OKCon 2013, LinkedUp & Open Education

Drowning in information – the need of macroscopes for research funding

Andrea Scharnhorst

Open Data Dialog 2013 - Linked Data in Education