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Keyphrase extraction plays a key role in various fields such as information retrieval, text classification etc. However, most traditional keyphrase extraction methods relies on word frequency and position instead of document inherent semantic information, often results in inaccurate output. In this paper, we propose a novel automatic keyphrase extraction algorithm using semantic features mined from...
It is very important to discover the mass panic when city is in emergency. A traditional approach is to do a survey among urban mass, which would cost much time and money. In our opinion, a more suitable and effective approach is to do Web-based investigation which includes discovery, measurement, and monitoring. A framework including information retrieval, data mining, and area knowledge analysis...
We consider the problem of building Web information retrieval mechanism through distributed solution based on Peer-to-Peer technology. We describe a prototype system called IOSUW (Interest-Oriented Search Union of Web servers) that is currently under development in our group. IOSUW provides a highly distributed global indexing and query execution services which are based on the organization of P2P...
The variance of user interest is a significant factor for designing peer-to-peer content-based retrieval system which leads to the birth of this paper. This paper gives the preliminary scheme to solve the problem of Web search of Internet scale. All the personalized peers form an interest-oriented Web server union (IOWSU) by employing structured P2P routing mechanism. After a query request from a...
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