Titlebook: Search Computing; Challenges and Direc Stefano Ceri,Marco Brambilla Book 2010 Springer-Verlag Berlin Heidelberg 2010 algorithm.algorithms.c

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Chapter 2: Next Generation Web Search derive from it. This vision is based on a single premise: people do not really want to search, they want to get tasks done. We motivate our work by the current trends in the Web and, in particular, Web search.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/862997.jpg

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https://doi.org/10.1007/978-3-642-12310-8algorithm; algorithms; computer; information; interfaces; knowledge representation; multimedia; optimizatio

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978-3-642-12309-2Springer-Verlag Berlin Heidelberg 2010

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Appendix A: Search Computing DictionaryData abstraction modeling → . referring to the same kind of “Web object” (e.g., hotels, movies, etc.). Service marts are described at three different levels: a higher level describing the → . and → ., an intermediate level describing all the → . available for the → ., and a lower level describing the → . of each ..

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0302-9743 es on the Web.The papers, written by leading scientists, conSearch computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant f

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Chapter 3: Search for Knowledge and position paper discusses opportunities and challenges along this research avenue. The technical issues to be looked into include knowledge harvesting to construct large knowledge bases, searching for knowledge in terms of entities and relationships, and ranking the results of such queries.