With the increasing expansion of internet information, the proliferation of information is becoming worse. All kinds of search engines, as the primary means of access to information, have to help users quickly locate a particular knowledge acquisition. How to guide users to relevant information or push related information to the user, have become pressing issues
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With the rapid development of Internet technology, Web information is growing at an exponential rate, how to retrieve information in the vast amount of information has become a very important issue. Because the user query keywords not matching with documents, the traditional information retrieval results are not ideal, which cannot meet the user’s query demands.
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The 21 st century is the times of network economy, with the rapid development of internet, the amount of information on the internet is increasing, however, how to get the information they need from the vast ocean of information become more meaningful.In information retrieval, search engine use ranking algorithm to sort the retrieved documents according
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With the development of computer science and internet, the web is becoming a universal repository of human knowledge where user now can get abundant information rapidly. How to get exact information from the repository is becoming a focus of user. In this context, the information retrieval has been developing vigorously.At present, information retrieval has obtained
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With the development of the Internet, the amount of resource accessible to people extended greatly, far exceed beyond the human ability to manually process. This situation made the technology which can fast and precisely locates the information an urgent need. Information retrieval is a field emerged aiming to satisfy this need. It focuses its attention
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The theory research of information retrieval in P2P systems is a hot issue in academic circles currently. With the development of internet technology and the rich amount of network resources, efficient sharing of these resources based on P2P technology provides not only a useful supplement to traditional search engines, but also an effective solution for
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With the breakneck-speed of information increment in this day and age, information retrieval technology is becoming crucial important. There are mainly two categories of traditional information retrieval models, namely query-dependent models based on content, such as TF/IDF, probability model and language model and query-independent models based on link analysis, such as PageRank and HITTS. The
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Domain ontology is a set which contains a special type of domain knowledge, and can provide domain concepts and their relationships. Most of the current researches for ontology focus on domain ontology. Therefore, how to construct domain ontology expediently and accurately has great research significance. This paper analyzes the existing technology of ontology construction and
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Cross Language Text Categorization (CLTC) is the task of assigning class labels to documents written in a target language (e.g. Chinese) while the system is trained using labeled examples in a source language (e.g. English). In this thesis, we study two key problems of CLTC.The first problem is the language barrier between the source and
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This thesis not only analyzed the present situation of application and the technologies of information retrieval (IR), but also deeply researched on the ontology-oriented IR technologies. For the low efficiency of IR problem in tourism field, in this thesis, we studied and implemented an IR system based on Beijing tourism information domain ontology. Research and
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