講演名 | 2004/11/30 A Domain-Specific Concept-Based Searching System(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) , |
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抄録(英) | Search engines are helpful tools for finding information from a large collection of electronic documents. However, current keyword-based engines, in which searching is basically to match the keywords in queries and those in documents, are not performing well in terms of the precision and recall criteria. The main reason is that, in natural language, one word can have different senses and different words can mean the same thing in particular contexts. This paper is to share our experience in developing a document searching system that aims at answering to "what a user means" rather than "what a user says". Here, queries and documents are abstracted into vectors of pre-defined concepts and, posed a query, the answers will be those documents whose concept vectors and that of the query have the smallest angles. It requires a corpus of specific knowledge about the concepts and their associated terms in a domain of discourse. Our chosen documents are about regulations of financial management in Vietnam. Experiments have shown that the implemented concept-based searching system outperforms traditional keyword-based ones. |
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資料番号 | AI2004-53 |
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研究会 | AI |
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開催期間 | 2004/11/30(から1日開催) |
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申込み研究会 | Artificial Intelligence and Knowledge-Based Processing (AI) |
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本文の言語 | ENG |
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タイトル(英) | A Domain-Specific Concept-Based Searching System(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) |
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第 1 著者 氏名(和/英) | / Tru H. Cao |
第 1 著者 所属(和/英) | Faculty of Information Technology Ho Chi Minh City University of Technology Viet Nam |
発表年月日 | 2004/11/30 |
資料番号 | AI2004-53 |
巻番号(vol) | vol.104 |
号番号(no) | 488 |
ページ範囲 | pp.- |
ページ数 | 4 |
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