1. Knowledge Discovery in the Semantic Web
SemDis
Knowledge Discovery in the Semantic Web
NSF award ITR-IIS
U. Georgia: Sheth (PI), Arpinar (CO-PI), Kochut, Miller
NSF award ITR-IIS
UMBC: Joshi (PI), Yesha (CO-PI), Finin
Objectives
Design, prototype and evaluate a system supporting the discovery, indexing, querying, and ranking of complex sem-antic relationships on the Semantic Web. The system maintains and utilizes provenance, trust, and rank information to enhance relationship discovery in a distributed environment.
The Web Of Belief (WOB) Approach
Improve knowledge associability
The WOB ontology captures associations
Improve knowledge connectivity
Find social paths across multiple networks
Improve knowledge credibility
Provenance and trust aware justification
Improve knowledge availability
Select/integrate knowledge from multiple sources
The Web of Belief Ontology
Entities: Agent, Statement, Document…
Associations: Justification, Belief, Trust…
Integrate multiple social networks
Find trust path and propagate trust across social networks from multiple sources
Select/Integrate knowledge from multiple sources
Our demo shows a fused personal profile with provenance information, which helps us address knowledge credibility.
UMBC
AN HONORS UNIVERSITY IN MARYLAND