Hiroshi Nakagawa

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Hiroshi Nakagawa is an author.


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Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Cross-lingual analysis of concerns and reports on crimes in blogs Blog feed retrieval
Crime reports
Cross-lingual blog analysis
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering English 2010 Among other domains and topics on which some issues are frequently argued in the blogosphere, the domain of crime is one of the most seriously discussed by various kinds of bloggers. Such information on crimes in blogs is especially valuable for outsiders from abroad who are not familiar with cultures and crimes in foreign countries. This paper proposes a framework of cross-lingually analyzing people's concerns, reports, and experiences on crimes in their own blogs. In the retrieval of blog feeds/posts, we take two approaches, focusing on various types of bloggers such as experts in the crime domain and victims of criminal acts. 0 0
Discovering serendipitous information from wikipedia by using its network structure ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media English 2010 Many researchers conducted studies on extracting relevant information from web documents. However, there are few studies on extracting serendipitous information. We propose methods to discover unexpected information from Wikipedia by using its network structure, for example, the distance between two categories. We evaluated two methods: a classification-based method using support vector machines (SVMs), and a ranking-based method using regression. We demonstrate advantages of regression over classification. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. 0 0
Exploitation of the Wikipedia category system for enhancing the value of LCSH Lcsh
Subject headings
Wikipedia categories
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
Subject headings
Wikipedia categories
JCDL English 2009 0 0
Cross-lingual blog analysis by cross-lingual comparison of characteristic terms and blog posts Proceedings of the 2nd International Symposium on Universal Communication, ISUC 2008 English 2008 The goal of this paper is to cross-lingually analyze multilingual blogs collected with a topic keyword. The framework of collecting multilingual blogs with a topic keyword is designed as the blog feed retrieval procedure. Multilingual queries for retrieving blog feeds are created from Wikipedia entries. Finally, we cross-lingually and crossculturally compare less well known facts and opinions that are closely related to a given topic. Preliminary evaluation results support the effectiveness of the proposed framework. 0 0
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