Topic Extraction from Scientific Paper Database
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Accession number;05A0661066
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| Title;Topic Extraction from Scientific Paper Database |
| Author;
SAKAKI TAKESHI
(Univ. of Tokyo)
MATSUO YUTAKA
(Sangyosogoken Saibaashisutokenkyuse)
ICHISE RYUTARO
(Ministry of Education, Culture, Sports, Sci. and Technol., National Inst. Informatics, JPN)
ICHISE RYUTARO
(Graduate Univ. Advances Studies)
TAKEDA HIDEAKI
(Ministry of Education, Culture, Sports, Sci. and Technol., National Inst. Informatics, JPN)
TAKEDA HIDEAKI
(Graduate Univ. Advances Studies)
ISHIZUKA MITSURU
(Univ. of Tokyo)
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Journal Title;Proceedings of the Annual Conference on JSAI (CD-ROM)
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Journal Code:X0580B
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ISSN:
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VOL.19th;NO.;PAGE.1C4-02(2005)
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| Figure&Table&Reference;FIG.6, TBL.1, REF.10 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;In a current flood of computerized academic informatin, the need for search engine for scientific papers has been enhancing considerably. However, now there has been few systems, which can deal with topics and contents of papers. Now, we aim to construct a new search engine for scientific paper, which can get a overview of the past and current states of one field of research. In this paper, we have proposed new methods to cluster papers by topic and evaluated them in the preparatory stages. Our experiments showed that "structually equivalent" is more effective than other methods in this topic-clustering task. (author abst.) |
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