Human Network Search Engine

Accession number;05A0661033
Title;Human Network Search Engine
Author; MATSUO YUTAKA (National Inst. Advanced Industrial Sci. and Technol., JPN) ISHIDA KEISUKE (National Inst. Advanced Industrial Sci. and Technol., JPN) MORI JUN'ICHIRO (Univ. of Tokyo) TOMOBE HIRONORI (Nagoya Univ.) ISHIGURO SHU (Kenkyukaihatsugatanposhinkokiko) MATSUBARA HITOSHI (Future Univ.-Hakodate, JPN) MATSUBARA HITOSHI (National Inst. Advanced Industrial Sci. and Technol., JPN)
Journal Title;Proceedings of the Annual Conference on JSAI (CD-ROM)
Journal Code:X0580B
ISSN:
VOL.19th;NO.;PAGE.1A3-05(2005)
Figure&Table&Reference;FIG.2, REF.8
Pub. Country;Japan
Language;Japanese
Abstract;Recently, a vast amount of information related to research activities is available on the Web. We developed a social network extraction system, that is based on Web mining technology and can find relationships among researchers such as coauthorship and same laboratory. In this paper, we overview our approach and introduce a researcher retrieval system based on the extracted social network. It is very important to find appropriate researchers to collaborate in an interdisciplinary research field. Also, the cooperation with local communities and industrial communities is important for researchers. Our goal is to support and promote the efficient collaboration so that research activities have greater impacts on our society. (author abst.)