SUMMARIZING AND VISUALIZING WEB PEOPLE SEARCH RESULTS

Harumi Murakami, Hiroshi Ueda, Shin’ichi Kataoka, Yuya Takamori, Shoji Tatsumi

2010

Abstract

People search is one major search activity on the Web. If the list of people search results is merely “person 1, person 2, . . . and so on,” users have difficulty determining which person clusters they should select. In this paper, we present a project that summarizes and visualizes Web people search results to help users select person clusters more easily. We explore three ways of summarizing people: (a) selecting terms from the extracted information, (b) combining the extracted information, and (c) obtaining information from external databases referring to the extracted information. To visualize people, we present three types of interfaces: (a) tables, (b) two-dimensional space, and (c) map interfaces. We report the two results of the project. (1) We investigated algorithms for distinguishing individuals with identical names and three ways of summarizing people: extracting keywords, prefectures and vocations; combining vocation-related information; and obtaining locations. (2) We developed prototypes to display separated individuals by three types of interfaces.

References

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Paper Citation


in Harvard Style

Murakami H., Ueda H., Kataoka S., Takamori Y. and Tatsumi S. (2010). SUMMARIZING AND VISUALIZING WEB PEOPLE SEARCH RESULTS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 640-643. DOI: 10.5220/0002760706400643


in Bibtex Style

@conference{icaart10,
author={Harumi Murakami and Hiroshi Ueda and Shin’ichi Kataoka and Yuya Takamori and Shoji Tatsumi},
title={SUMMARIZING AND VISUALIZING WEB PEOPLE SEARCH RESULTS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={640-643},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002760706400643},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - SUMMARIZING AND VISUALIZING WEB PEOPLE SEARCH RESULTS
SN - 978-989-674-021-4
AU - Murakami H.
AU - Ueda H.
AU - Kataoka S.
AU - Takamori Y.
AU - Tatsumi S.
PY - 2010
SP - 640
EP - 643
DO - 10.5220/0002760706400643