SlideShare una empresa de Scribd logo

Tracing Networks: Ontology Software in a Nutshell

•Descargar como PPT, PDF•
•
E
enoch1982
TecnologíaEducación
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]

Recomendados

DB and IR Integration
DB and IR IntegrationDB and IR Integration
DB and IR IntegrationMarco A Torres
 
DB-IR-ranking
DB-IR-rankingDB-IR-ranking
DB-IR-rankingFELIX75
 
Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...
Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...
Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...andimou
 
A Generic Language for Integrated RDF Mappings of Heterogeneous Data
A Generic Language for Integrated RDF Mappings of Heterogeneous DataA Generic Language for Integrated RDF Mappings of Heterogeneous Data
A Generic Language for Integrated RDF Mappings of Heterogeneous Dataandimou
 
How the Web can change social science research (including yours)
How the Web can change social science research (including yours)How the Web can change social science research (including yours)
How the Web can change social science research (including yours)Frank van Harmelen
 
Knowledge graphs on the Web
Knowledge graphs on the WebKnowledge graphs on the Web
Knowledge graphs on the WebArmin Haller
 
Instance-Based Ontological Knowledge Acquisition
Instance-Based Ontological Knowledge AcquisitionInstance-Based Ontological Knowledge Acquisition
Instance-Based Ontological Knowledge AcquisitionLihua Zhao
 
4 semantic web and ontology
4 semantic web and ontology4 semantic web and ontology
4 semantic web and ontologySanthosh Kannan
 

Recomendados

DB and IR Integration
DB and IR IntegrationDB and IR Integration
DB and IR IntegrationMarco A Torres
 
DB-IR-ranking
DB-IR-rankingDB-IR-ranking
DB-IR-rankingFELIX75
 
Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...
Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...
Machine-Interpretable Dataset and Service Descriptions for Heterogeneous Data...andimou
 
A Generic Language for Integrated RDF Mappings of Heterogeneous Data
A Generic Language for Integrated RDF Mappings of Heterogeneous DataA Generic Language for Integrated RDF Mappings of Heterogeneous Data
A Generic Language for Integrated RDF Mappings of Heterogeneous Dataandimou
 
How the Web can change social science research (including yours)
How the Web can change social science research (including yours)How the Web can change social science research (including yours)
How the Web can change social science research (including yours)Frank van Harmelen
 
Knowledge graphs on the Web
Knowledge graphs on the WebKnowledge graphs on the Web
Knowledge graphs on the WebArmin Haller
 
Instance-Based Ontological Knowledge Acquisition
Instance-Based Ontological Knowledge AcquisitionInstance-Based Ontological Knowledge Acquisition
Instance-Based Ontological Knowledge AcquisitionLihua Zhao
 
4 semantic web and ontology
4 semantic web and ontology4 semantic web and ontology
4 semantic web and ontologySanthosh Kannan
 
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
 
semantic web & natural language
semantic web & natural languagesemantic web & natural language
semantic web & natural languageNurfadhlina Mohd Sharef
 
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
 
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 DataNational Institute of Informatics (NII)
 
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
 
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
 

Más contenido relacionado

La actualidad más candente

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
 

La actualidad más candente (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
 

Destacado

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
 

Destacado (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
 

Similar 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
 

Similar 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

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
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...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...Igalia
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 

Último (20)

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata 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.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
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...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...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 

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.