Gaz-guide: Agent-mediated information retrieval for official gazettes

Jyi Shane Liu; Von Won Soo; Chia Ning Chiang; Chen Yu Lee; Chun Yu Lin

doi:10.1007/3-540-44637-0_11

Gaz-guide: Agent-mediated information retrieval for official gazettes

Jyi Shane Liu, Von Won Soo, Chia Ning Chiang, Chen Yu Lee, Chun Yu Lin

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

3 引文斯高帕斯（Scopus）

摘要

Information retrieval tasks concerns with leading the user to those documents that best match his/her information needs. We consider missing concepts and wrong terms in user query as the fundamental problem of information retrieval. We propose a multiagent system that assists information retrieval by mediating the user.s information needs and the semantic structure of the data domain. The multiagent system embeds both ontology and thesauri to traverse different cognitive spaces. During an interactive process, the user.s query is transformed and led to appropriate semantic constructs that enable effective retrieval. We consider the data domain of government official gazettes. A prototype system, Gaz-Guide, has been developed and experiments are conducted by recording system response to real users with practical questions. The initial results show encouraging sign of the utility and effectiveness of Gaz- Guide in articulating domain resources on thesauri and ontology and guiding users with interactive assistance.

原文	英語
主出版物標題	Intelligent Agents
主出版物子標題	Specification, Modeling and Applications - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Proceedings
編輯	Soe-Tsyr Yuan, Makoto Yokoo
發行者	Springer Verlag
頁面	154-167
頁數	14
ISBN（列印）	3540424342, 9783540424345
DOIs	https://doi.org/10.1007/3-540-44637-0_11
出版狀態	已出版 - 2001
對外發佈	是
事件	4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001 - Taipei, 台灣持續時間: 28 07 2001 → 29 07 2001

出版系列

名字	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	2132
ISSN（列印）	0302-9743
ISSN（電子）	1611-3349

Conference

Conference	4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001
國家/地區	台灣
城市	Taipei
期間	28/07/01 → 29/07/01

文獻附註

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.

存取文件

10.1007/3-540-44637-0_11

其它文件與鏈接

Link to publication in Scopus

引用此

Liu, J. S., Soo, V. W., Chiang, C. N., Lee, C. Y., & Lin, C. Y. (2001). Gaz-guide: Agent-mediated information retrieval for official gazettes. 於 S.-T. Yuan, & M. Yokoo (編輯), Intelligent Agents: Specification, Modeling and Applications - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Proceedings (頁 154-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2132). Springer Verlag. https://doi.org/10.1007/3-540-44637-0_11

Liu, Jyi Shane ; Soo, Von Won ; Chiang, Chia Ning 等. / Gaz-guide : Agent-mediated information retrieval for official gazettes. Intelligent Agents: Specification, Modeling and Applications - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Proceedings. 編輯 / Soe-Tsyr Yuan ; Makoto Yokoo. Springer Verlag, 2001. 頁 154-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Gaz-guide: Agent-mediated information retrieval for official gazettes",

abstract = "Information retrieval tasks concerns with leading the user to those documents that best match his/her information needs. We consider missing concepts and wrong terms in user query as the fundamental problem of information retrieval. We propose a multiagent system that assists information retrieval by mediating the user.s information needs and the semantic structure of the data domain. The multiagent system embeds both ontology and thesauri to traverse different cognitive spaces. During an interactive process, the user.s query is transformed and led to appropriate semantic constructs that enable effective retrieval. We consider the data domain of government official gazettes. A prototype system, Gaz-Guide, has been developed and experiments are conducted by recording system response to real users with practical questions. The initial results show encouraging sign of the utility and effectiveness of Gaz- Guide in articulating domain resources on thesauri and ontology and guiding users with interactive assistance.",

author = "Liu, {Jyi Shane} and Soo, {Von Won} and Chiang, {Chia Ning} and Lee, {Chen Yu} and Lin, {Chun Yu}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001 ; Conference date: 28-07-2001 Through 29-07-2001",

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doi = "10.1007/3-540-44637-0_11",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Liu, JS, Soo, VW, Chiang, CN, Lee, CY & Lin, CY 2001, Gaz-guide: Agent-mediated information retrieval for official gazettes. 於 S-T Yuan & M Yokoo (編輯), Intelligent Agents: Specification, Modeling and Applications - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 2132, Springer Verlag, 頁 154-167, 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Taipei, 台灣, 28/07/01. https://doi.org/10.1007/3-540-44637-0_11

Gaz-guide: Agent-mediated information retrieval for official gazettes. / Liu, Jyi Shane; Soo, Von Won; Chiang, Chia Ning 等.
Intelligent Agents: Specification, Modeling and Applications - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Proceedings. 編輯 / Soe-Tsyr Yuan; Makoto Yokoo. Springer Verlag, 2001. p. 154-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2132).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Gaz-guide

T2 - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001

AU - Liu, Jyi Shane

AU - Soo, Von Won

AU - Chiang, Chia Ning

AU - Lee, Chen Yu

AU - Lin, Chun Yu

PY - 2001

Y1 - 2001

N2 - Information retrieval tasks concerns with leading the user to those documents that best match his/her information needs. We consider missing concepts and wrong terms in user query as the fundamental problem of information retrieval. We propose a multiagent system that assists information retrieval by mediating the user.s information needs and the semantic structure of the data domain. The multiagent system embeds both ontology and thesauri to traverse different cognitive spaces. During an interactive process, the user.s query is transformed and led to appropriate semantic constructs that enable effective retrieval. We consider the data domain of government official gazettes. A prototype system, Gaz-Guide, has been developed and experiments are conducted by recording system response to real users with practical questions. The initial results show encouraging sign of the utility and effectiveness of Gaz- Guide in articulating domain resources on thesauri and ontology and guiding users with interactive assistance.

AB - Information retrieval tasks concerns with leading the user to those documents that best match his/her information needs. We consider missing concepts and wrong terms in user query as the fundamental problem of information retrieval. We propose a multiagent system that assists information retrieval by mediating the user.s information needs and the semantic structure of the data domain. The multiagent system embeds both ontology and thesauri to traverse different cognitive spaces. During an interactive process, the user.s query is transformed and led to appropriate semantic constructs that enable effective retrieval. We consider the data domain of government official gazettes. A prototype system, Gaz-Guide, has been developed and experiments are conducted by recording system response to real users with practical questions. The initial results show encouraging sign of the utility and effectiveness of Gaz- Guide in articulating domain resources on thesauri and ontology and guiding users with interactive assistance.

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DO - 10.1007/3-540-44637-0_11

M3 - 会议稿件

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SN - 3540424342

SN - 9783540424345

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

SP - 154

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A2 - Yuan, Soe-Tsyr

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PB - Springer Verlag

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ER -

Liu JS, Soo VW, Chiang CN, Lee CY, Lin CY. Gaz-guide: Agent-mediated information retrieval for official gazettes. 於 Yuan ST, Yokoo M, 編輯, Intelligent Agents: Specification, Modeling and Applications - 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001, Proceedings. Springer Verlag. 2001. p. 154-167. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44637-0_11

Gaz-guide: Agent-mediated information retrieval for official gazettes

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