Abstract
Searching for useful information is a difficult job by the virtue of information overloading problem. With the technological advances, notably World-Wide Web (WWW), it allows every ordinary information owner to offer information on line for others to access and retrieve. However, it also makes up a global information system that is extremely large-scale, diverse and dynamic. Internet agents and Internet search engines have been used to deal with such problems. But the search results are usually not quite relevant to what a user wants since most of them use simple keyword matching. In this paper, we propose a natural language processing based agent (NIAGENT) that understands a user's natural query. NIAGENT not only cooperates with a meta Internet search engine in order to increase recall of web pages but also analyzes the contents of the referenced documents to increase precision. Moreover, the proposed agent is autonomous, light-weighted, and multithreaded. The architectural design also represents an interesting application of distributed and cooperative computing paradigm. A prototype of NIAGENT, implemented in Java, shows its promise to find useful information than keyword based searching.
| Original language | English |
|---|---|
| Pages (from-to) | 100-105 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - Orlando, FL, USA Duration: 1997 Oct 12 → 1997 Oct 15 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture