Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration

Shoichi Nakamura; Takuya Matsumoto; Hiroki Nakayama; Ryo Onuma; Hiroaki Kaminaga; Youzou Miyadera

doi:10.1145/3168390.3168419

Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration

Shoichi Nakamura, Takuya Matsumoto, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera

Global Education Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Complicated Web exploration involving trial and error is quite important in intellectual creative activities. To successfully conduct such exploration, each user needs to satisfactorily understand the results and circumstances (i.e., contexts) of his/her own exploration. However, the contexts are difficult for a user to understand since queries and the pages obtained with them increase rapidly as exploration progresses. In this research, we were aiming at developing methods for visualizing the contexts so that a user can easily understand them. This paper mainly describes methods for clustering queries and extracting the transitions of search queries by analyzing the relationships between the clusters of queries. Moreover, this paper also describes a prototype of context map with some screenshots.

Original language	English
Title of host publication	Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
Publisher	Association for Computing Machinery
Pages	227-231
Number of pages	5
ISBN (Electronic)	9781450353922
DOIs	https://doi.org/10.1145/3168390.3168419
Publication status	Published - 2017 Dec 5
Event	2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017 - Jakarta, Indonesia Duration: 2017 Dec 5 → 2017 Dec 7

Other

Other	2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
Country/Territory	Indonesia
City	Jakarta
Period	17/12/5 → 17/12/7

Keywords

Complicated Web exploration
Context map
Exploration contexts
Transitions of search queries
Visualization of contexts

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3168390.3168419

Cite this

Nakamura, S., Matsumoto, T., Nakayama, H., Onuma, R., Kaminaga, H., & Miyadera, Y. (2017). Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration. In Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017 (pp. 227-231). Association for Computing Machinery. https://doi.org/10.1145/3168390.3168419

Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration. / Nakamura, Shoichi; Matsumoto, Takuya; Nakayama, Hiroki et al.

Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017. Association for Computing Machinery, 2017. p. 227-231.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakamura, S, Matsumoto, T, Nakayama, H, Onuma, R, Kaminaga, H & Miyadera, Y 2017, Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration. in Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017. Association for Computing Machinery, pp. 227-231, 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017, Jakarta, Indonesia, 17/12/5. https://doi.org/10.1145/3168390.3168419

Nakamura S, Matsumoto T, Nakayama H, Onuma R, Kaminaga H, Miyadera Y. Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration. In Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017. Association for Computing Machinery. 2017. p. 227-231 doi: 10.1145/3168390.3168419

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Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration

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Keywords

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