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Keywords can be used to query XML data without schema information. In this paper, a novel kind of query is proposed, top-k keyword search over XML streams. According to the set of keywords and the number of results, such query can retrieve the top-k XML data fragments most related to the keyword set. A novel ranking
String matching is a fundamental issue in computer science. This paper presents a lightweight string matching algorithm for short pattern matching, in which less than 20 keywords are often involved in the pattern set. The new algorithm makes use of condensed hash tables and computes the shift distance after each test
Research on cross-language information retrieval (CLIR) increasingly concentrates in candidate translation selection of the keywords in the query. The accuracy of translation has a direct impact on accurate rate and recalled rate. This thesis presents three methods based on HowNet to resolve query translation
With the dramatic increasing number of available Web services, how to locate the right services is becoming a big challenge in pervasive environments. The Web services discovery mechanism of UDDI based on keywords and simple classification can not meet the current needs. A semantic distance between ontology concepts
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user's retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and
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