Paper Info
Title
Traversal and Relations Discovery among Business Entities and People using Semantic Web Technologies and Trust Management.
Abstract
There are several data silos containing information about business entities and people but are not semantically connected. If in integration process of data sources trust management is also employed than we can expect much higher success rate in relations discovery among entities. Majority of current mash-up approaches that deal with integration of information from several data sources omit or don't fully address the aspect of trust. In this paper we discuss semantic integration of personal and business information from various data sources coupled with trust layer. The resulting system has higher and more defined solidity while trust for single entity and also for data source is defined. The case study presented in the paper focuses on integration of personal information from data sources mainly maintained by government authorities who have higher trustability than information from social networks, but we also include other less trusted sources. The developed SocioLeaks system allows users traversal and further relation discovery in a graph based manner.
Year
DOI
Venue
2012
10.3233/978-1-61499-161-8-164
Frontiers in Artificial Intelligence and Applications
Keywords
DocType
Volume
Semantic Web,trust management,semantic integration,ontologies,personal information extraction,SocioLeaks
Conference
249
ISSN
Citations 
PageRank 
0922-6389
1
0.35
References 
Authors
9
6
Name
Order
Citations
PageRank
Dejan Lavbic1257.43
Slavko Zitnik2946.68
Lovro Subelj320916.37
Ales Kumer410.35
Aljaž Zrnec542.45
Marko Bajec646534.56