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Digital libraries have shouldered the mission of preserving and spreading human culture in the era of information. However, knowledge extraction for digital libraries is not well studied, and that holds back the role promotion of digital libraries from information collector to knowledge provider. This paper presents an ontology-based approach, which extracts detailed attributes of Traditional Chinese...
The goal of user modeling is to provide personalized services based on userpsilas interests and preferences, thus allowing for more efficient information access. Frequently userpsilas interests drift with time. The ability to adapt fast to the current user's interests is an important feature of user model. In this paper, based on behavioral psychology, a SAM (Spreading Activation Model)-based evolution...
With the dramatic increase of information on Web, text filtering is a key technology in content processing. Now more and more researchers know that filter must be based on the meaning of the word but not on a specific sequence of signs, so they pay more and more attention on filtering method based on semantics recently. However, the usability of these methods is inconvenient up to now, because they...
Matching search technology based on query keyword has been widely used by traditional search way. It still belongs to pure keyword matching and can not acquire satisfactory search results. The essential reason is that traditional Web search lacks semantic understanding to user's search behaviors. In this study, we propose a novel ontology-based framework for semantic expansion search. Based on constructed...
Personalized information service agents have emerged in the recent years to help users to cope with the increasing amount of information available on the Internet. The effectiveness of agents depends mainly on profile completeness and accuracy. In the existing agents, although the performance of these systems improves after learning a user profile, it is difficult to share user profile and adapt user...
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