On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework

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http://www.aaai.org/Papers/Symposia/Spring/2005/SS-05-01/SS05-01-032.pdf

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http://hdl.handle.net/11603/12201

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Student Collection

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Date

2005

Type of Work

conference papers and proceedings preprints
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This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.

Subjects

homeland security
semantic web
trust
framework
UMBC Ebiquity Research Group

Abstract

Discovering and evaluating interesting patterns and semantic associations in vast amount of information provided by many different sources is an important and time-consuming work for homeland security analysts. By publishing or converting such information in semantic web language, intelligent agents can automate the inference without compromising the semantics. This paper describes how trust and provenance can be represented/obtained in the Semantic Web and then be used to evaluate trustworthiness of discovered semantic associations and to make discovery process effective and efficient.