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 | |
| 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 | 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
Cite this
Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration. / Nakamura, Shoichi; Matsumoto, Takuya; Nakayama, Hiroki; Onuma, Ryo; Kaminaga, Hiroaki; Miyadera, Youzou.
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
}
TY - GEN
T1 - Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration
AU - Nakamura, Shoichi
AU - Matsumoto, Takuya
AU - Nakayama, Hiroki
AU - Onuma, Ryo
AU - Kaminaga, Hiroaki
AU - Miyadera, Youzou
PY - 2017/12/5
Y1 - 2017/12/5
N2 - 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.
AB - 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.
KW - Complicated Web exploration
KW - Context map
KW - Exploration contexts
KW - Transitions of search queries
KW - Visualization of contexts
UR - http://www.scopus.com/inward/record.url?scp=85042087250&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042087250&partnerID=8YFLogxK
U2 - 10.1145/3168390.3168419
DO - 10.1145/3168390.3168419
M3 - Conference contribution
AN - SCOPUS:85042087250
SP - 227
EP - 231
BT - Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
PB - Association for Computing Machinery
ER -