loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Harumi Murakami 1 ; Hiroshi Ueda 2 ; Shin’ichi Kataoka 1 ; Yuya Takamori 1 and Shoji Tatsumi 2

Affiliations: 1 Graduate School for Creative Cities, Osaka City University, Japan ; 2 Graduate School of Engineering, Osaka City University, Japan

ISBN: 978-989-674-021-4

Keyword(s): Web people search, Summarization, Visualization, Interface.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Human-Computer Interaction ; Intelligent User Interfaces ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

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 de veloped prototypes to display separated individuals by three types of interfaces. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.196.5.6

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.