Conceptual information extraction with link-based search

Kyung Joong Kim, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Link-based search provides a new vehicle to find relevant web documents on the WWW. Recently, there is quite a bit of optimism that the use of link information can improve search quality as in Google. Usually, text-based search engine returns web sites which have simply the best frequency of user query, so that the result might be different from user’s expectation. However, hypertextual search engine finds the most authoritative site. Proposed search engine consists of crawling, storing of link structure, ranking, and personalization processes. User profile encodes different relevances among concepts for each user. For conceptual information extraction from link-based search engine, fuzzy concept network is adopted. Fuzzy concept network can be personalized using the profile information and used to conduct fuzzy information retrieval for each user. By combining personal fuzzy information retrieval and link-based search, proposed search agent provides high-quality information on the WWW about user query. To show the effectiveness of the proposed search engine, a subjective test for five persons is conducted and the result is summarized. The result for five persons shows the usefulness of the proposed system and possibility for personalized conceptual information extraction.

Original languageEnglish
Title of host publicationWeb Intelligence
Subtitle of host publicationResearch and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings
EditorsJiming Liu, Ning Zhong, Yiju Yao, Setsuo Ohsuga
PublisherSpringer Verlag
Pages367-372
Number of pages6
ISBN (Print)3540427309, 9783540427308
Publication statusPublished - 2001 Jan 1
Event1st Asia-Pacific Conference on Web Intelligence, WI 2001 - Maebashi City, Japan
Duration: 2001 Oct 232001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2198
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st Asia-Pacific Conference on Web Intelligence, WI 2001
CountryJapan
CityMaebashi City
Period01/10/2301/10/26

Fingerprint

Information Extraction
Search engines
Search Engine
World Wide Web
Fuzzy Information
Information retrieval
Information Retrieval
Person
Query
Information Quality
User Profile
Personalization
Websites
Ranking
Concepts

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, K. J., & Cho, S. B. (2001). Conceptual information extraction with link-based search. In J. Liu, N. Zhong, Y. Yao, & S. Ohsuga (Eds.), Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings (pp. 367-372). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2198). Springer Verlag.
Kim, Kyung Joong ; Cho, Sung Bae. / Conceptual information extraction with link-based search. Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. editor / Jiming Liu ; Ning Zhong ; Yiju Yao ; Setsuo Ohsuga. Springer Verlag, 2001. pp. 367-372 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Kim, KJ & Cho, SB 2001, Conceptual information extraction with link-based search. in J Liu, N Zhong, Y Yao & S Ohsuga (eds), Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2198, Springer Verlag, pp. 367-372, 1st Asia-Pacific Conference on Web Intelligence, WI 2001, Maebashi City, Japan, 01/10/23.

Conceptual information extraction with link-based search. / Kim, Kyung Joong; Cho, Sung Bae.

Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. ed. / Jiming Liu; Ning Zhong; Yiju Yao; Setsuo Ohsuga. Springer Verlag, 2001. p. 367-372 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2198).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Cho, Sung Bae

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N2 - Link-based search provides a new vehicle to find relevant web documents on the WWW. Recently, there is quite a bit of optimism that the use of link information can improve search quality as in Google. Usually, text-based search engine returns web sites which have simply the best frequency of user query, so that the result might be different from user’s expectation. However, hypertextual search engine finds the most authoritative site. Proposed search engine consists of crawling, storing of link structure, ranking, and personalization processes. User profile encodes different relevances among concepts for each user. For conceptual information extraction from link-based search engine, fuzzy concept network is adopted. Fuzzy concept network can be personalized using the profile information and used to conduct fuzzy information retrieval for each user. By combining personal fuzzy information retrieval and link-based search, proposed search agent provides high-quality information on the WWW about user query. To show the effectiveness of the proposed search engine, a subjective test for five persons is conducted and the result is summarized. The result for five persons shows the usefulness of the proposed system and possibility for personalized conceptual information extraction.

AB - Link-based search provides a new vehicle to find relevant web documents on the WWW. Recently, there is quite a bit of optimism that the use of link information can improve search quality as in Google. Usually, text-based search engine returns web sites which have simply the best frequency of user query, so that the result might be different from user’s expectation. However, hypertextual search engine finds the most authoritative site. Proposed search engine consists of crawling, storing of link structure, ranking, and personalization processes. User profile encodes different relevances among concepts for each user. For conceptual information extraction from link-based search engine, fuzzy concept network is adopted. Fuzzy concept network can be personalized using the profile information and used to conduct fuzzy information retrieval for each user. By combining personal fuzzy information retrieval and link-based search, proposed search agent provides high-quality information on the WWW about user query. To show the effectiveness of the proposed search engine, a subjective test for five persons is conducted and the result is summarized. The result for five persons shows the usefulness of the proposed system and possibility for personalized conceptual information extraction.

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Kim KJ, Cho SB. Conceptual information extraction with link-based search. In Liu J, Zhong N, Yao Y, Ohsuga S, editors, Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. Springer Verlag. 2001. p. 367-372. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).