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Semantic Knowledge is usually adding into topic model to improve topic coherence. However, it's hard to judge whether semantic information is related to topic without using complicated lexical characteristics. In this paper, we demonstrate a novel model called Cloud Transformation Model, which can easily judge whether semantic information is related to topic, and integrate semantic information into...
For processing top-K queries with monotone aggregation functions, the threshold algorithm (TA) and its family are important methods in many scenarios. From 1996 to 2003, Fagin et al. proposed a variety of TA-like algorithms such as the FA, TA, TAz, NRA and CA algorithms for different access methods as well as various data resources, but they did not report the experimental results of the TA-like algorithms...
A mass of high-quality information included in Deep Web can be accessed, which is still growing rapidly with the rapid development of the World Wide Web. Therefore it becomes more and more important to find the Web databases which are most relevant to the user queries. In this paper we propose a selection method of Web database based on retrieval performance. This method can fix the topic based on...
How to improve the accuracy of the concept similarity computation is still an issue needed to be studied further. This paper proposes a new approach which combines concept similarity with the users' individual preference. The personal coefficients trained by artificial neural network are employed to adjust the initial concept similarities to get the actual concept similarities. The experimental results...
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