SlideShare uma empresa Scribd logo
1 de 24
Tracing Networks Yi Hong Department of Computer Science University of Leicester Introduction to ontology-based database and software application
Semantic Web ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tracing Networks programme
Ontology ,[object Object],[object Object],[object Object],Domain ontology  e.g. (CIDOC-CRM  for archaeology,  Gene, GXO for Genetics) Ontology Concepts Specified by Describes Modelled by  Domain
Relational database vs Ontology-based database ,[object Object],(provided by Katharina) Example :    Image tagging and search for human representation database
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],etc. ……… . (60+ attributes) Data Relational database vs Ontology-based database
Relational database vs Ontology-based database Database schema  Entity-relationship diagram  Relational database (MS Access 2007) tables, fields (columns) Data Data primary-foreign  key pairs
Relational vs Ontology-based database MySQL, Oracle, SQL Server,  MS Access etc Jena SDB, virtuoso universal server, RDF/OWL document Database Schema  (table, field, key) Ontology (class, property, individual) records triples  (RDF graph) Data  Structure  Basic  elements Database  products Data storage Relational Database Ontology-based Database (Triple store)
Ontology ,[object Object],[object Object],[object Object],[object Object]
Ontology ,[object Object],[object Object],[object Object]
Ontology ,[object Object],[object Object],[object Object]
Ontology RDF Graph A set of triples become a graph An ontology-based database is a graph
Relational database vs Ontology-based database (Protégé Ontology Editor) http://protege.stanford.edu/
Relational vs Ontology-based database SQL generate query Database Query  language SPARQL generate query Query  Interface Text-based keywords+ options Graph pattern Search Relational Database Ontology-based Database (Triple store)
Why use ontology? ,[object Object],[object Object],[object Object],Tags:  cat , mouse,
Why use ontology? ,[object Object],[object Object],[object Object],Tags:  cat , mouse,
Why use ontology? ,[object Object],[object Object],[object Object],Tags:  cat , mouse,
Why use ontology? ,[object Object],[object Object],[object Object],Tags:  cat , mouse, chase? Who is chasing who?
Why use ontology? ,[object Object],[object Object],[object Object],Query:  “ Display images with an  animal  and a  person  on them, along with what is happening between them"   rider horse
Why use ontology? ,[object Object],[object Object],[object Object],definitely a horse! probably a fox ? Domain-specific expertise index = E(d) Degree of uncertainty  = CF horse Tagged area 95% Is a
Query results visualisation  - Geo-mapping ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Query results visualisation  - Statistical charts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontology-based software demo Semantic tagging Query by graph pattern Integration with Google earth  Statistical charts
System Architecture
Links ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Introduction of Knowledge Graphs
Introduction of Knowledge GraphsIntroduction of Knowledge Graphs
Introduction of Knowledge GraphsJeff Z. Pan
 
Mid-Ontology Learning from Linked Data @JIST2011
Mid-Ontology Learning from Linked Data @JIST2011Mid-Ontology Learning from Linked Data @JIST2011
Mid-Ontology Learning from Linked Data @JIST2011Lihua Zhao
 
Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15Filip Ilievski
 
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...Marko Rodriguez
 
Semantic Web and Linked Data for cultural heritage materials - Approaches in ...
Semantic Web and Linked Data for cultural heritage materials - Approaches in ...Semantic Web and Linked Data for cultural heritage materials - Approaches in ...
Semantic Web and Linked Data for cultural heritage materials - Approaches in ...Antoine Isaac
 
AnIML: A New Analytical Data Standard
AnIML: A New Analytical Data StandardAnIML: A New Analytical Data Standard
AnIML: A New Analytical Data StandardStuart Chalk
 
A scalable architecture for extracting, aligning, linking, and visualizing mu...
A scalable architecture for extracting, aligning, linking, and visualizing mu...A scalable architecture for extracting, aligning, linking, and visualizing mu...
A scalable architecture for extracting, aligning, linking, and visualizing mu...Craig Knoblock
 
LOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked DataLOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked DataFilip Ilievski
 
Ease and speed of implementation
Ease and speed of implementationEase and speed of implementation
Ease and speed of implementationCreative Coeur
 
Zhishi.me - Weaving Chinese Linking Open Data
Zhishi.me - Weaving Chinese Linking Open DataZhishi.me - Weaving Chinese Linking Open Data
Zhishi.me - Weaving Chinese Linking Open DataXing Niu
 
CLAIR: Computational Linguistics And Information Retrieval
CLAIR: Computational Linguistics And Information RetrievalCLAIR: Computational Linguistics And Information Retrieval
CLAIR: Computational Linguistics And Information Retrievalbutest
 
The Network Data Structure in Computing
The Network Data Structure in ComputingThe Network Data Structure in Computing
The Network Data Structure in ComputingMarko Rodriguez
 
Assigning semantic labels to data sources
Assigning semantic labels to data sourcesAssigning semantic labels to data sources
Assigning semantic labels to data sourcesCraig Knoblock
 
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"..."Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...Dataconomy Media
 
Assessing and Refining Mappings to RDF to Improve Dataset Quality
Assessing and Refining Mappings to RDF to Improve Dataset QualityAssessing and Refining Mappings to RDF to Improve Dataset Quality
Assessing and Refining Mappings to RDF to Improve Dataset Qualityandimou
 
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...Jeff Z. Pan
 
Crowdsourcing the Quality of Knowledge Graphs: A DBpedia Study
Crowdsourcing the Quality of Knowledge Graphs:A DBpedia StudyCrowdsourcing the Quality of Knowledge Graphs:A DBpedia Study
Crowdsourcing the Quality of Knowledge Graphs: A DBpedia StudyMaribel Acosta Deibe
 
The Empirical Turn in Knowledge Representation
The Empirical Turn in Knowledge RepresentationThe Empirical Turn in Knowledge Representation
The Empirical Turn in Knowledge RepresentationFrank van Harmelen
 

Mais procurados (20)

Introduction of Knowledge Graphs
Introduction of Knowledge GraphsIntroduction of Knowledge Graphs
Introduction of Knowledge Graphs
 
Mid-Ontology Learning from Linked Data @JIST2011
Mid-Ontology Learning from Linked Data @JIST2011Mid-Ontology Learning from Linked Data @JIST2011
Mid-Ontology Learning from Linked Data @JIST2011
 
Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15
 
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
 
Semantic Web and Linked Data for cultural heritage materials - Approaches in ...
Semantic Web and Linked Data for cultural heritage materials - Approaches in ...Semantic Web and Linked Data for cultural heritage materials - Approaches in ...
Semantic Web and Linked Data for cultural heritage materials - Approaches in ...
 
AnIML: A New Analytical Data Standard
AnIML: A New Analytical Data StandardAnIML: A New Analytical Data Standard
AnIML: A New Analytical Data Standard
 
A scalable architecture for extracting, aligning, linking, and visualizing mu...
A scalable architecture for extracting, aligning, linking, and visualizing mu...A scalable architecture for extracting, aligning, linking, and visualizing mu...
A scalable architecture for extracting, aligning, linking, and visualizing mu...
 
semantic web & natural language
semantic web & natural languagesemantic web & natural language
semantic web & natural language
 
LOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked DataLOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked Data
 
Ease and speed of implementation
Ease and speed of implementationEase and speed of implementation
Ease and speed of implementation
 
General Introduction for Semantic Web and Linked Open Data
General Introduction for Semantic Web and Linked Open DataGeneral Introduction for Semantic Web and Linked Open Data
General Introduction for Semantic Web and Linked Open Data
 
Zhishi.me - Weaving Chinese Linking Open Data
Zhishi.me - Weaving Chinese Linking Open DataZhishi.me - Weaving Chinese Linking Open Data
Zhishi.me - Weaving Chinese Linking Open Data
 
CLAIR: Computational Linguistics And Information Retrieval
CLAIR: Computational Linguistics And Information RetrievalCLAIR: Computational Linguistics And Information Retrieval
CLAIR: Computational Linguistics And Information Retrieval
 
The Network Data Structure in Computing
The Network Data Structure in ComputingThe Network Data Structure in Computing
The Network Data Structure in Computing
 
Assigning semantic labels to data sources
Assigning semantic labels to data sourcesAssigning semantic labels to data sources
Assigning semantic labels to data sources
 
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"..."Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
 
Assessing and Refining Mappings to RDF to Improve Dataset Quality
Assessing and Refining Mappings to RDF to Improve Dataset QualityAssessing and Refining Mappings to RDF to Improve Dataset Quality
Assessing and Refining Mappings to RDF to Improve Dataset Quality
 
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...
 
Crowdsourcing the Quality of Knowledge Graphs: A DBpedia Study
Crowdsourcing the Quality of Knowledge Graphs:A DBpedia StudyCrowdsourcing the Quality of Knowledge Graphs:A DBpedia Study
Crowdsourcing the Quality of Knowledge Graphs: A DBpedia Study
 
The Empirical Turn in Knowledge Representation
The Empirical Turn in Knowledge RepresentationThe Empirical Turn in Knowledge Representation
The Empirical Turn in Knowledge Representation
 

Destaque

校友通讯录第三期更新
校友通讯录第三期更新校友通讯录第三期更新
校友通讯录第三期更新enoch1982
 
厦门大学英国校友会《校友通讯》第一期
厦门大学英国校友会《校友通讯》第一期厦门大学英国校友会《校友通讯》第一期
厦门大学英国校友会《校友通讯》第一期enoch1982
 
Lecture 3 motion economy work study
Lecture 3 motion economy work studyLecture 3 motion economy work study
Lecture 3 motion economy work studyrahulmeshram14
 
Open Source Creativity
Open Source CreativityOpen Source Creativity
Open Source CreativitySara Cannon
 
The impact of innovation on travel and tourism industries (World Travel Marke...
The impact of innovation on travel and tourism industries (World Travel Marke...The impact of innovation on travel and tourism industries (World Travel Marke...
The impact of innovation on travel and tourism industries (World Travel Marke...Brian Solis
 
Reuters: Pictures of the Year 2016 (Part 2)
Reuters: Pictures of the Year 2016 (Part 2)Reuters: Pictures of the Year 2016 (Part 2)
Reuters: Pictures of the Year 2016 (Part 2)maditabalnco
 
The Outcome Economy
The Outcome EconomyThe Outcome Economy
The Outcome EconomyHelge Tennø
 

Destaque (7)

校友通讯录第三期更新
校友通讯录第三期更新校友通讯录第三期更新
校友通讯录第三期更新
 
厦门大学英国校友会《校友通讯》第一期
厦门大学英国校友会《校友通讯》第一期厦门大学英国校友会《校友通讯》第一期
厦门大学英国校友会《校友通讯》第一期
 
Lecture 3 motion economy work study
Lecture 3 motion economy work studyLecture 3 motion economy work study
Lecture 3 motion economy work study
 
Open Source Creativity
Open Source CreativityOpen Source Creativity
Open Source Creativity
 
The impact of innovation on travel and tourism industries (World Travel Marke...
The impact of innovation on travel and tourism industries (World Travel Marke...The impact of innovation on travel and tourism industries (World Travel Marke...
The impact of innovation on travel and tourism industries (World Travel Marke...
 
Reuters: Pictures of the Year 2016 (Part 2)
Reuters: Pictures of the Year 2016 (Part 2)Reuters: Pictures of the Year 2016 (Part 2)
Reuters: Pictures of the Year 2016 (Part 2)
 
The Outcome Economy
The Outcome EconomyThe Outcome Economy
The Outcome Economy
 

Semelhante a Tracing Networks: Ontology Software in a Nutshell

Tracing Networks: Ontology-based Software in a Nutshell
Tracing Networks: Ontology-based Software in a NutshellTracing Networks: Ontology-based Software in a Nutshell
Tracing Networks: Ontology-based Software in a NutshellTracingNetworks
 
Semantic Web for Enterprise Architecture
Semantic Web for Enterprise ArchitectureSemantic Web for Enterprise Architecture
Semantic Web for Enterprise ArchitectureJames Lapalme
 
Vital AI: Big Data Modeling
Vital AI: Big Data ModelingVital AI: Big Data Modeling
Vital AI: Big Data ModelingVital.AI
 
Aggregation for searching complex information spaces
Aggregation for searching complex information spacesAggregation for searching complex information spaces
Aggregation for searching complex information spacesMounia Lalmas-Roelleke
 
Semantic Web: introduction & overview
Semantic Web: introduction & overviewSemantic Web: introduction & overview
Semantic Web: introduction & overviewAmit Sheth
 
Faceted search using Solr and Ontopia
Faceted search using Solr and OntopiaFaceted search using Solr and Ontopia
Faceted search using Solr and OntopiaGeir Ove Grønmo
 
Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...Takeshi Morita
 
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Stuart Chalk
 
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...Ralf Stockmann
 
Semantic Interoperability - grafi della conoscenza
Semantic Interoperability - grafi della conoscenzaSemantic Interoperability - grafi della conoscenza
Semantic Interoperability - grafi della conoscenzaGiorgia Lodi
 
Ontology mapping for the semantic web
Ontology mapping for the semantic webOntology mapping for the semantic web
Ontology mapping for the semantic webWorawith Sangkatip
 
Semantic Web, Ontology, and Ontology Learning: Introduction
Semantic Web, Ontology, and Ontology Learning: IntroductionSemantic Web, Ontology, and Ontology Learning: Introduction
Semantic Web, Ontology, and Ontology Learning: IntroductionKent State University
 
Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Webebiquity
 
One day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic WebOne day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic WebVictor de Boer
 
X Som Graduation Presentation
X Som   Graduation PresentationX Som   Graduation Presentation
X Som Graduation PresentationGiorgio Orsi
 
XML In The Real World - Use Cases For Oracle XMLDB
XML In The Real World - Use Cases For Oracle XMLDBXML In The Real World - Use Cases For Oracle XMLDB
XML In The Real World - Use Cases For Oracle XMLDBMarco Gralike
 
QALL-ME: Ontology and Semantic Web
QALL-ME: Ontology and Semantic WebQALL-ME: Ontology and Semantic Web
QALL-ME: Ontology and Semantic WebConstantin Orasan
 
Semantic Integration for Heterogeneous Domain-specific Information: The NIF Case
Semantic Integration for Heterogeneous Domain-specific Information: The NIF CaseSemantic Integration for Heterogeneous Domain-specific Information: The NIF Case
Semantic Integration for Heterogeneous Domain-specific Information: The NIF CaseNeuroscience Information Framework
 
Semantic Web: From Representations to Applications
Semantic Web: From Representations to ApplicationsSemantic Web: From Representations to Applications
Semantic Web: From Representations to ApplicationsGuus Schreiber
 

Semelhante a Tracing Networks: Ontology Software in a Nutshell (20)

Tracing Networks: Ontology-based Software in a Nutshell
Tracing Networks: Ontology-based Software in a NutshellTracing Networks: Ontology-based Software in a Nutshell
Tracing Networks: Ontology-based Software in a Nutshell
 
Semantic Web for Enterprise Architecture
Semantic Web for Enterprise ArchitectureSemantic Web for Enterprise Architecture
Semantic Web for Enterprise Architecture
 
Vital AI: Big Data Modeling
Vital AI: Big Data ModelingVital AI: Big Data Modeling
Vital AI: Big Data Modeling
 
Aggregation for searching complex information spaces
Aggregation for searching complex information spacesAggregation for searching complex information spaces
Aggregation for searching complex information spaces
 
Semantic Web: introduction & overview
Semantic Web: introduction & overviewSemantic Web: introduction & overview
Semantic Web: introduction & overview
 
Faceted search using Solr and Ontopia
Faceted search using Solr and OntopiaFaceted search using Solr and Ontopia
Faceted search using Solr and Ontopia
 
Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...
 
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
 
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...
Controlled Vocabularies and Text Mining - Use Cases at the Goettingen State a...
 
Semantic Interoperability - grafi della conoscenza
Semantic Interoperability - grafi della conoscenzaSemantic Interoperability - grafi della conoscenza
Semantic Interoperability - grafi della conoscenza
 
Ontology mapping for the semantic web
Ontology mapping for the semantic webOntology mapping for the semantic web
Ontology mapping for the semantic web
 
Semantic Web, Ontology, and Ontology Learning: Introduction
Semantic Web, Ontology, and Ontology Learning: IntroductionSemantic Web, Ontology, and Ontology Learning: Introduction
Semantic Web, Ontology, and Ontology Learning: Introduction
 
Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Web
 
One day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic WebOne day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic Web
 
X Som Graduation Presentation
X Som   Graduation PresentationX Som   Graduation Presentation
X Som Graduation Presentation
 
XML In The Real World - Use Cases For Oracle XMLDB
XML In The Real World - Use Cases For Oracle XMLDBXML In The Real World - Use Cases For Oracle XMLDB
XML In The Real World - Use Cases For Oracle XMLDB
 
QALL-ME: Ontology and Semantic Web
QALL-ME: Ontology and Semantic WebQALL-ME: Ontology and Semantic Web
QALL-ME: Ontology and Semantic Web
 
Semantic Integration for Heterogeneous Domain-specific Information: The NIF Case
Semantic Integration for Heterogeneous Domain-specific Information: The NIF CaseSemantic Integration for Heterogeneous Domain-specific Information: The NIF Case
Semantic Integration for Heterogeneous Domain-specific Information: The NIF Case
 
Semantic Web: From Representations to Applications
Semantic Web: From Representations to ApplicationsSemantic Web: From Representations to Applications
Semantic Web: From Representations to Applications
 
Weso research group
Weso research groupWeso research group
Weso research group
 

Último

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 

Último (20)

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 

Tracing Networks: Ontology Software in a Nutshell

  • 1. Tracing Networks Yi Hong Department of Computer Science University of Leicester Introduction to ontology-based database and software application
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Relational database vs Ontology-based database Database schema Entity-relationship diagram Relational database (MS Access 2007) tables, fields (columns) Data Data primary-foreign key pairs
  • 7. Relational vs Ontology-based database MySQL, Oracle, SQL Server, MS Access etc Jena SDB, virtuoso universal server, RDF/OWL document Database Schema (table, field, key) Ontology (class, property, individual) records triples (RDF graph) Data Structure Basic elements Database products Data storage Relational Database Ontology-based Database (Triple store)
  • 8.
  • 9.
  • 10.
  • 11. Ontology RDF Graph A set of triples become a graph An ontology-based database is a graph
  • 12. Relational database vs Ontology-based database (Protégé Ontology Editor) http://protege.stanford.edu/
  • 13. Relational vs Ontology-based database SQL generate query Database Query language SPARQL generate query Query Interface Text-based keywords+ options Graph pattern Search Relational Database Ontology-based Database (Triple store)
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. Ontology-based software demo Semantic tagging Query by graph pattern Integration with Google earth Statistical charts
  • 24.