Agent-Based Personal Ontology Text-Searching Architecture
Date Issued
2005
Date
2005
Author(s)
Chang, Hsu-Yuan
DOI
zh-TW
Abstract
With the rapid growth of using World Wide Web, the information has become more and more difficult to be located. Presently there are two main solutions to handle this problem. One is to find information more precisely by improving searching algorithm in Information Retrieval; the other is to filter available information by tracking user's behavior. In this paper, we propose a new searching architecture, which combine the two solutions, and we also introduce a concept of "personal Ontology" into this architecture. By analyzing feedback of user's browsing behavior, agent can realize user's personal ontology, and use the concept of ontology to search, which can find information more correctly and precisely. Besides, we also show a new searching process. By clustering users based on their concepts of ontology, user can find others in the same domain, and use their concept which has been trained properly to find information quickly and more correctly.
Subjects
代理人
個人化
搜尋系統
推薦系統
搜尋架構
知識本體
Agent
Text-searching
personalization
recommendation system
searching architecture
personal ontology
Type
other
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ntu-94-R90725045-1.pdf
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