Presentation 2015-12-18
Context-aware Intranet Information Retrieval System
Akinori Kosugi, Shohei Ohno, Toshihiro Iizuka, Noriaki Kawamae, Junichi Hirata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose the system of the intranet information retrieval that pays attention to the context that aims at the work efficiency improvement by the intranet information retrieval (retrieval efficiency improvement and improvement of availability). Here, the context means user’s use state and retrieval purpose. The purpose of the reason to pay attention to the context is to be able to expect the efficiency improvement of the entire user’s work by sharing these among users. We did the addition of the functions of an extension and a concept search which is filtering by the documentary attribute in which a context was taken based on Apache Solr which is an information retrieval engine of open source. A trial of the propose system that I made the whole organization large in scale relatively the subject was put into effect as intranet, and it was quantitative by conventional comparison with a search system in the intranet, equality meeting hearing and whole company questionnaire and, it was also confirmed qualitatively that I’m contributing to work efficiency improvement.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information Retrieval / Intranet / Context-aware / Concept Search / Filtering
Paper # AI2015-44
Date of Issue 2015-12-11 (AI)

Conference Information
Committee AI
Conference Date 2015/12/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Kyoto Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Context-aware Intranet Information Retrieval System
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) Intranet
Keyword(3) Context-aware
Keyword(4) Concept Search
Keyword(5) Filtering
1st Author's Name Akinori Kosugi
1st Author's Affiliation NTT COMWARE CORPORATION(NTT COMWARE)
2nd Author's Name Shohei Ohno
2nd Author's Affiliation NTT COMWARE CORPORATION(NTT COMWARE)
3rd Author's Name Toshihiro Iizuka
3rd Author's Affiliation NTT COMWARE CORPORATION(NTT COMWARE)
4th Author's Name Noriaki Kawamae
4th Author's Affiliation NTT COMWARE CORPORATION(NTT COMWARE)
5th Author's Name Junichi Hirata
5th Author's Affiliation NTT COMWARE CORPORATION(NTT COMWARE)
Date 2015-12-18
Paper # AI2015-44
Volume (vol) vol.115
Number (no) AI-381
Page pp.pp.107-112(AI),
#Pages 6
Date of Issue 2015-12-11 (AI)