01387nas a2200193   4500008004100000245008000041210006900121260000900190300001000199490000700209520075600216653002300972653001900995653001501014100001501029700001501044700001701059856011701076       2012                        eng d00aA retrieval method based on language model considering neighboring contents0 aretrieval method based on language model considering neighboring  c2012  a1 - 90 v103 aThe 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.10aHyperlink Analysis10aLanguage Model10aWeb search1 aTamura, K.1 aHatano, K.1 aYadohisa, H.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84857609599&partnerID=40&md5=78bc4a283c5231cf36f479f17c8ab0e501726nas a2200205   4500008004100000245008200041210006900123260000900192300001400201490000600215520104000221653002801261653000801289653003701297653002201334100001501356700001501371700001701386856011701403       2010                        eng d00aA query-oriented XML fragment search approach on a relational database system0 aqueryoriented XML fragment search approach on a relational datab  c2010  a175 - 1800 v83 aIn 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.10aEfficient and effective10aRDB10aScoring method for XML fragments10aXML search engine1 aKeyaki, A.1 aHatano, K.1 aMiyazaki, J.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79956028452&partnerID=40&md5=42415d9f4c5aca4c312c791ecc719adb