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User interests are usually distributed in different systems on the Web. Traditional user interest modeling methods are not designed for integrating and analyzing interests from multiple sources, hence, they are not very effective for obtaining comparatively complete description of user interests in the distributed environment. In addition, previous studies(More)
One of the major problems for semantic search at Web scale is that the search results on the semantic data might be huge and the users have to browse to find the most relevant ones. Plus, due to the reason for the context, user requirement may diverse even the input query may be the same. In this paper, we try to achieve scalability in semantic search(More)
Most scientific publication information, which may reflects scientists' research interests, is publicly available on the Web. Understanding the characteristics of research interests from previous publications may help to provide better services for scientists in the Web age. In this paper, we introduce some parameters to track the evolution process of(More)
When facing great volume of query results while users are searching literatures on the Web, we propose to refine the search process by using user interests. We analyze user interests and calculate semantic similarity among those interest terms to fulfill query refinement. Traditional general purpose similarity measures may not always fit a domain specific(More)
User related data indicate user interests in a certain environment. In the context of massive data from the Web, if an application wants to provide more personalized service (e.g. search) for users, an investigation on user interests is needed. User interests are usually distributed in different sources. In order to provide a more comprehensive(More)
Various Web-based social network data reflect user interests from multiple perspectives in a distributed environment. They need to be integrated for better user modelling and personalized services. We argue that in different scenarios, different social networks play different roles and their degrees of importance are not equivalent. Hence, ranking(More)
Many model-based fault diagnosis approaches have been proposed so far and some of them are applied in industrial practice. But for modern complex processes, due to the variable nature of faults and model uncertainty, no single approach can diagnose all faults and meet different contradictory criteria. In this paper, the importance of integration of(More)