2007 Fiscal Year Final Research Report Summary
Social Network Extraction among Researchers from the Web
| Project/Area Number |
17300052
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
HASHIDA Koichi National Institute of Advanced Industrial Science and Technology, AIST, Information Technology Research Institute, Director (00357766)
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| Co-Investigator(Kenkyū-buntansha) |
IZUMI Kiyoshi AIST, Researcher (10356454)
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| Project Period (FY) |
2005 – 2007
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| Keywords | web mining / social network / search engine / natutal language processing |
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| Research Abstract |
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We studied social network extraction among researchers from the Web. Our system called POLYPHONET employs several advanced techniques to extract relations of persons, detect groups of persons, and obtain keywords for a person. Search engines are used to measure co-occurrence of information and obtain Web documents. We develop several new algorithms for social networking mining such as those to classify relations into categories, to make extraction scalable, and to obtain and utilize person-to-word relations. POLYPHONET has been used at several academic conferences, each with more than 500 participants.
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[Presentation] Human Relationship Ontology2005
Author(s)
Yutaka Matsuo, Hideaki Takeda, and Junichiro Mori
Organizer
The 10th meeting of SIG-SWO (Similar Interest Group on Semantic Web and Ontology), SIG-SWO-A501-06
Place of Presentation
Tokyo
Year and Date
20050700
Description
「研究成果報告書概要(欧文)」より
