| Hidetaka Masuda|
(Alternative names for this author)
|Co-authors||Arai Y., Hiroshi Nakagawa, Kimura A., Satoshi Sakai, Takehito Utsuro, Tatsuya Mori, Tomohiro Fukuhara, Yoji Kiyota, Yoshinaka T.|
|Authorship||Publications (3), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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Hidetaka Masuda is an author.
PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Exploitation of the Wikipedia category system for enhancing the value of LCSH||Lcsh
|Proceedings of the ACM/IEEE Joint Conference on Digital Libraries||English||2009||This paper addresses an approach that integrates two different types of information resources: the Web and libraries. Our method begins from any keywords in Wikipedia, and induces related subject headings of LCSH through the Wikipedia category system.||0||0|
|Exploitation of the wikipedia category system for enhancing the value of LCSH||LCSH
|KANSHIN: A cross-lingual concern analysis system using multilingual blog articles||Proceedings - 2008 International Workshop on Information-Explosion and Next Generation Search, INGS 2008||English||2008||An architecture of cross-lingual concern analysis (CLCA) using multilingual blog articles, and its prototype system are described. As various people who are living in various countries use the Web, cross-lingual information retrieval (CLIR) plays an important role in the next generation search. In this paper, we propose a CLCA as one of CLIR applications for facilitating users to find concerns of people across languages. We propose a layer architecture of CLCA, and its prototype system called KANSHIN. The system collects Japanese, Chinese, Korean, and English blog articles, and analyzes concerns across languages. Users can find concerns from several viewpoints such as temporal, geographical, and a network of blog sites. The system also facilitates users to browse multilingual keywords using Wikipedia, and the system facilitates users to find spam blogs. An overview of the CLCA architecture and the system are described.||0||0|