Paper Abstract and Keywords |
Presentation |
2010-01-25 10:50
Know-How Retrieval on the Web Gen Hattori, Tomoya Takeyoshi, Chihiro Ono, Yasuhiro Takishima (KDDI Labs) NLC2009-35 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this research, we propose a “know-how retrieval” technique to collect know-how information related to a specific theme efficiently. General search engines always return huge number of Web documents for user’s query. That is not considerable when the query is a type of finding an answer, such as "Altitude of Mt. Fuji", because the user is able to be satisfied with the result by browsing only several high-ranked Web pages. On the other hand, when the query is a type of collecting various know-how, such as "How to make curry delicious", the user has to browse Web pages as many as possible. In method of browsing the Web pages one by one to collect information widely, there is a limit in the point of time and effort. In this paper, we propose a technique to support users to collect of know-how widely by a little effort as much as possible. Specifically, our technique extracts know-how words, which relate to know-how, based on a conceptual relation of words and appearance frequency of words. Our technique also presents preferentially Web documents that include unread know-how information. In our evaluation, we showed that many know-how words were able to be extracted by using conceptual relation, and that our retrieval result showed that know-how was able to be browsed more efficiently than a general retrieval result by presenting unread know-how preferentially. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Know-How Retrieval / Conceptual Relations / Confirmed relevance document / the Web / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 390, NLC2009-35, pp. 13-18, Jan. 2010. |
Paper # |
NLC2009-35 |
Date of Issue |
2010-01-18 (NLC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLC2009-35 |
Conference Information |
Committee |
NLC |
Conference Date |
2010-01-25 - 2010-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Machizukuri Shimin Kouryu Plaza, Hiroshima City |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The First Symposium on Collective Intelligence |
Paper Information |
Registration To |
NLC |
Conference Code |
2010-01-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Know-How Retrieval on the Web |
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Know-How Retrieval |
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Conceptual Relations |
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Confirmed relevance document |
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the Web |
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1st Author's Name |
Gen Hattori |
1st Author's Affiliation |
KDDI R&D Laboratories (KDDI Labs) |
2nd Author's Name |
Tomoya Takeyoshi |
2nd Author's Affiliation |
KDDI R&D Laboratories (KDDI Labs) |
3rd Author's Name |
Chihiro Ono |
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KDDI R&D Laboratories (KDDI Labs) |
4th Author's Name |
Yasuhiro Takishima |
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KDDI R&D Laboratories (KDDI Labs) |
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Speaker |
Author-1 |
Date Time |
2010-01-25 10:50:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2009-35 |
Volume (vol) |
vol.109 |
Number (no) |
no.390 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2010-01-18 (NLC) |
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