Conference paper
Acquiring trustworthy knowledge for conversation agents based on a Web knowledge trust model
Center for International Cooperation in E-Business (CICEB)
International MultiConference of Engineers and Computer Scientists (IMECS 2008) (Hong Kong, 19/03/2008–21/03/2008)
2008
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.
Details
- Title
- Acquiring trustworthy knowledge for conversation agents based on a Web knowledge trust model
- Authors/Creators
- O.S. Goh (Author/Creator)C.C. Fung (Author/Creator)
- Conference
- International MultiConference of Engineers and Computer Scientists (IMECS 2008) (Hong Kong, 19/03/2008–21/03/2008)
- Publisher
- Center for International Cooperation in E-Business (CICEB)
- Identifiers
- 991005543940707891
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
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