Personalized Semantic Retrieval and Summarization of Web Based Documents
نویسندگان
چکیده
منابع مشابه
Semantic Summarization Of Web Documents
Documents summarization techniques automatically extract information from different sources . The main propose of this paper is summarizing documents that retrieve from internet. The propose to capture the document from internet , that document store in database ,extract that documents, use the natural language, in order to retrieve similar information. An overview of the system and some prelim...
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Because of explosive growth of resources in the internet, the information retrieval technology has become particularly important. However the current retrieval methods are essentially based on the full text matching of keywords approach lacking of semantic information and can’t understand the user's query intent very well. These methods return a large number of irrelevant information, and are u...
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eLearnering benefits the society when the content are prepared with interactive communication and customized navigation based on learners profile. The research question posed in this study is whether it is feasible and beneficial to separate the learning objects (LOs) and the learning sequence based on learner model. With this separation, the customized courses should be pedagogically appropria...
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Information on the World Wide Web is congested with large amounts of news contents. Recommending, filtering, and summarization of Web news have become hot topics of research in Web intelligence, aiming to find interesting news for users and give concise content for reading. This paper presents our research on developing the Personalized News Filtering and Summarization system (PNFS). An embedde...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2013
ISSN: 2158-107X,2156-5570
DOI: 10.14569/ijacsa.2013.040128