Journal article
A multilevel natural language query approach conversational agent systems
IAENG International Journal of Computer Science, Vol.33(1), pp.7-13
2007
Abstract
The main aim of this research is to investigate a novel technique for implementing a conversational intelligent agent system on the web. The research will focus on a multilevel natural language query approach. While the present World Wide Web provides a distributed hypermedia interface to the vast amount of information on the Internet, there is a lack of appropriate metadata to that content. Instead of being a giant library as intended, increasing sections of the Web resemble a giant garbage dump. A multilevel natural language query system is described in this paper for the representation of knowledge in specific and open domains. The six-layer conversational agent system includes Spellcheck, Natural Language Understanding and Reasoning, FAQChat, Metadata Index Search, Pattern Matching and Case-Based Reasoning, and Supervised Learning. This technique is demonstrated using extracts from queries on the field of data relating to the Bird Flu H5N1 pandemic crisis.
Details
- Title
- A multilevel natural language query approach conversational agent systems
- Authors/Creators
- O.S. Goh (Author/Creator)A. Depickere (Author/Creator)C.C. Fung (Author/Creator)K.W. Wong (Author/Creator)
- Publication Details
- IAENG International Journal of Computer Science, Vol.33(1), pp.7-13
- Publisher
- International Association of Engineers (IAENG)
- Identifiers
- 991005543559807891
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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