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

Goh, O.S. 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, 2008, 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.