1
Selected Semantic Web Projects @ UMBC CoBrA – Context Broker Architecture Using OWL to define ontologies for context modeling and reasoning Taking a rule based approach to interpret and reason about context Using a policy language and engine to control the sharing of user context Rei – Policies for Open and Dynamic Systems Models deontic concepts of permissions, prohibitions, obligations and dispensations Uses meta policies for conflict resolution Uses speech acts for dynamic policy modification Models different kinds of policies– Security, Privacy, Team formation, collaboration and maintenance, Conversation Suitable for web services, grid computing, pervasive computing Discovering Complex Relationships in the Semantic Web Design, prototype and evaluate a system supporting the discovery, indexing, querying, and ranking of complex semantic relationships on the Semantic Web. Capture and utilize provenance and trust to enhance relationship discovery in a distributed environment. Obtain, prune and evaluate semantic relationships from multiple information sources using provenance and trust. Explore its practical utility in various domains of interest. Integrate multiple social networks Find trust path and propagate trust across social networks from multiple sources Integrate knowledge from multiple sources SWOOGLE 2 SWD Metadata Web Service Web Server SWD Cache The Web Candidate URLs Web Crawler SWD Reader IR analyzer SWD analyzer discovery digest analysis service Ontology Dictionary Swoogle Search Swoogle Statistics Swoogle Statistics Ontology Dictionary Swoogle is a crawler based metadata and search system for semantic web documents (SWDs) in RDF and OWL. Swoogle has indexed 230K documents with 37M RDF triples, defining 90K classes, 11K properties and 5.8M instances. http://ebiquity.umbc.edu earch partially supported by NSF, DARPA, IBM

Selected Semantic Web Projects @ UMBC

Embed Size (px)

DESCRIPTION

Selected Semantic Web Projects @ UMBC. SWOOGLE 2. Web Server. Swoogle Statistics. Ontology Dictionary. Swoogle Search. service. Web Service. IR analyzer. SWD analyzer. analysis. Ontology Dictionary. SWD Cache. SWD Metadata. - PowerPoint PPT Presentation

Citation preview

Page 1: Selected Semantic Web Projects @ UMBC

Selected Semantic Web Projects @ UMBCSelected Semantic Web Projects @ UMBC

CoBrA – Context Broker Architecture Using OWL to define ontologies for context modeling and reasoning Taking a rule based approach to interpret and reason about context Using a policy language and engine to control the sharing of user context

CoBrA – Context Broker Architecture Using OWL to define ontologies for context modeling and reasoning Taking a rule based approach to interpret and reason about context Using a policy language and engine to control the sharing of user context

Rei – Policies for Open and Dynamic Systems Models deontic concepts of permissions, prohibitions, obligations and dispensations Uses meta policies for conflict resolution Uses speech acts for dynamic policy modification Models different kinds of policies– Security, Privacy, Team formation, collaboration and maintenance, Conversation Suitable for web services, grid computing, pervasive computing

Rei – Policies for Open and Dynamic Systems Models deontic concepts of permissions, prohibitions, obligations and dispensations Uses meta policies for conflict resolution Uses speech acts for dynamic policy modification Models different kinds of policies– Security, Privacy, Team formation, collaboration and maintenance, Conversation Suitable for web services, grid computing, pervasive computing

Discovering Complex Relationships in the Semantic Web

Design, prototype and evaluate a system supporting the discovery, indexing, querying, and ranking of complex semantic relationships on the Semantic Web. Capture and utilize provenance and trust to enhance relationship discovery in a distributed environment. Obtain, prune and evaluate semantic relationships from multiple information sources using provenance and trust. Explore its practical utility in various domains of interest.

Design, prototype and evaluate a system supporting the discovery, indexing, querying, and ranking of complex semantic relationships on the Semantic Web. Capture and utilize provenance and trust to enhance relationship discovery in a distributed environment. Obtain, prune and evaluate semantic relationships from multiple information sources using provenance and trust. Explore its practical utility in various domains of interest.

Integrate multiple social networksFind trust path and propagate trust across social networks from multiple sources

Integrate knowledge from multiple sources

SWOOGLE 2

SWD Metadata

Web Service

Web Server

SWD Cache

The Web

CandidateURLs Web Crawler

SWD Reader

IR analyzer SWD analyzer

discovery

digest

analysis

serviceOntologyDictionary

SwoogleSearch

SwoogleStatistics

Swoogle Statistics

Ontology Dictionary

Swoogle is a crawler based metadata and search system for semantic web documents (SWDs) in RDF and OWL.

Swoogle has indexed 230K documents with 37M RDF triples, defining 90K classes, 11K properties and 5.8M instances.

Swoogle is a crawler based metadata and search system for semantic web documents (SWDs) in RDF and OWL.

Swoogle has indexed 230K documents with 37M RDF triples, defining 90K classes, 11K properties and 5.8M instances.

http://ebiquity.umbc.eduResearch partially supported by NSF, DARPA, IBM