Conceptual information extraction with link-based search

Kyung Joong Kim; Sung Bae Cho

doi:10.1007/3-540-45490-x_45

Conceptual information extraction with link-based search

Kyung Joong Kim, Sung Bae Cho

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Web Intelligence
Subtitle of host publication	Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings
Editors	Ning Zhong, Yiju Yao, Jiming Liu, Setsuo Ohsuga
Publisher	Springer Verlag
Pages	367-372
Number of pages	6
ISBN (Print)	3540427309, 9783540427308
DOIs	https://doi.org/10.1007/3-540-45490-x_45
Publication status	Published - 2001
Event	1st Asia-Pacific Conference on Web Intelligence, WI 2001 - Maebashi City, Japan Duration: 2001 Oct 23 → 2001 Oct 26

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2198
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st Asia-Pacific Conference on Web Intelligence, WI 2001
Country/Territory	Japan
City	Maebashi City
Period	01/10/23 → 01/10/26

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45490-x_45

Cite this

Kim, K. J., & Cho, S. B. (2001). Conceptual information extraction with link-based search. In N. Zhong, Y. Yao, J. Liu, & 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. https://doi.org/10.1007/3-540-45490-x_45

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 / Ning Zhong ; Yiju Yao ; Jiming Liu ; 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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title = "Conceptual information extraction with link-based search",

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{\textquoteright}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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year = "2001",

doi = "10.1007/3-540-45490-x_45",

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Kim, KJ & Cho, SB 2001, Conceptual information extraction with link-based search. in N Zhong, Y Yao, J Liu & 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. https://doi.org/10.1007/3-540-45490-x_45

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. / Ning Zhong; Yiju Yao; Jiming Liu; 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 proceeding › Conference contribution

TY - GEN

T1 - Conceptual information extraction with link-based search

AU - Kim, Kyung Joong

AU - Cho, Sung Bae

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2001.

PY - 2001

Y1 - 2001

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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U2 - 10.1007/3-540-45490-x_45

DO - 10.1007/3-540-45490-x_45

M3 - Conference contribution

AN - SCOPUS:49149120415

SN - 3540427309

SN - 9783540427308

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 367

EP - 372

BT - Web Intelligence

A2 - Zhong, Ning

A2 - Yao, Yiju

A2 - Liu, Jiming

A2 - Ohsuga, Setsuo

PB - Springer Verlag

T2 - 1st Asia-Pacific Conference on Web Intelligence, WI 2001

Y2 - 23 October 2001 through 26 October 2001

ER -

Kim KJ, Cho SB. Conceptual information extraction with link-based search. In Zhong N, Yao Y, Liu J, 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)). doi: 10.1007/3-540-45490-x_45

Conceptual information extraction with link-based search

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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