Acquiring trustworthy knowledge for conversation agents based on a Web knowledge trust model

Goh, Ong Sing and Fung, C.C. (2008) Acquiring trustworthy knowledge for conversation agents based on a Web knowledge trust model. In: International MultiConference of Engineers and Computer Scientists (IMECS 2008), 19-21 March, Hong Kong.

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Abstract

This paper presents a proposal to facilitate the use of online documents from the World Wide Web (WWW) - to acquire knowledge for Intelligent Conservation Agents (CA). Information extracted from public web pages has -- long been an issue that web pages may contain incorrect information or are outright hoaxes. Therefore, we propose a Web Knowledge Trust Model (WKTM) to find 'trustworthy' websites and to ensure the credibility and reliability of the knowledge extracted from the web-derived corpora. The results indicate that WKMT is useful for evaluating the trustworthiness of web sites and it is useful for the developing of key criteria for a conversation agent's domain knowledge base.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Assoc. Prof. Dr. Ong Sing Goh
Date Deposited: 05 Nov 2014 13:20
Last Modified: 28 May 2015 04:24
URI: http://eprints.utem.edu.my/id/eprint/12377
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