Integration of document index with perception index |
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Authors: | D.-Y. Choi |
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Affiliation: | (1) Dept. of MIS, Yuhan College, 422-749, Koean-dong, Sosa-ku, Puchon City, Kyongki-do, South Korea, KR |
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Abstract: | We propose the perception index (PI) that contains attributes associated with a focal keyword restricted by fuzzy term(s) used in fuzzy queries on the Internet. The PI assists the user to reflect his/her perception in the process of query. If we integrate the document index (DI) used in commercial Web search engines with the proposed PI, we can handle both crisp terms (keyword-based) and fuzzy terms (perception-based). In this respect, the proposed approach is softer than the keyword-based approach. The PI brings somewhat closer to natural language. It is a further step toward a real human-friendly, natural language-based interface for Internet. It should greatly help the user relatively easily retrieve relevant information. |
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Keywords: | Perception index (PI), Web search engines, Fuzzy queries, Integrated index (DI + PI) |
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