@article {308,
	title = {A retrieval method based on language model considering neighboring contents},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {1 - 9},
	abstract = {The World Wide Web (WWW) has a massive number of Web pages, so that it is difficult for users to get useful information. In recent years, however, it is said that the probabilistic language model can help to improve retrieval accuracies of some kinds of search engines. The probabilistic language model has statistical background and can adapt previous text information retrieval model. However, we cannot directly adapt the probabilistic language model to Web search engines, because data on the Web has a hyperlink environment while the probabilistic language model can only text information on it. In this paper, we propose a novel approach for searching Web pages considering a Web page as well as its neighboring oneson the hyperlink environment.},
	keywords = {Hyperlink Analysis, Language Model, Web search},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84857609599\&partnerID=40\&md5=78bc4a283c5231cf36f479f17c8ab0e5},
	author = {Tamura, K. and Hatano, K. and Yadohisa, H.}
}
@article {228,
	title = {A query-oriented XML fragment search approach on a relational database system},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2010},
	pages = {175 - 180},
	abstract = {In this paper, we propose a query-oriented fragment search approach for efficient and effective XML search engines on relational database systems. Conventional approaches for XML fragment search have only considered statistics of XML documents stored in a database system to rank a search result. As a result, almost all XML fragment search engines have attained negative results in the research field of information retrieval (IR). To cope with this problem, considering not only statistics in the database system but also ones extracted from a query helps to improve retrieval accuracy of XML fragment search engines; however, it is also faced with a problem related with their efficiencies. Therefore, we have to devise ways of achieving both highly-relevant search results and efficient query processing. We implemented our XML search engine adopting the query-oriented fragment search approach, and found that it allows users to search XML fragments more accurately and effectively than conventional ones on our XML search engine.},
	keywords = {Efficient and effective, RDB, Scoring method for XML fragments, XML search engine},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79956028452\&partnerID=40\&md5=42415d9f4c5aca4c312c791ecc719adb},
	author = {Keyaki, A. and Hatano, K. and Miyazaki, J.}
}
