Multiple viewed search engine for an e-journal: a case study on zoological science

Authors:
Takahiro Seki;Taiki Wada;Yasuhiro Yamada;Nozomi Ytow;Sachio Hirokawa
Affiliations:
Office for Information of University Evaluation, Kyushu University, Fukuoka, Japan;Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan;Kyushu University User Science Institute, Fukuoka, Japan;Graduate School of Life and Environmental Science, University of Tsukuba, Tsukuba, Ibaraki, Japan;Computing and Communications Center, Kyushu University, Fukuoka, Japan
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Year:
2007

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Abstract

The multiple viewed search engine presented here retrieves documents of an indicated search area and displays a matrix of the distribution of the clustering from two aspects of the retrieval result. The search engine provides a visual and semantic bird's-eye view of the entire retrieval result. In addition, the characteristic words of each cluster are displayed in the matrix, and supports narrowing of the search. Furthermore, it is possible to immediately change the analysis criteria or the number of clusters and to use a zooming function. Thus, various retrieval conditions for a query can be attempted immediately and continuously. As a case study, this paper performs several analyses on the electronic journal Zoological Science using a multiple viewed search engine.