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.

PDF acquiring_trustworthy_knowledge.pdf - Published Version Download (906kB)

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
Statistic Details:	View Download Statistic

Actions (login required)

View Item