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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaomo Liu Weiguo Fan Gang Wang Jian Jiao |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA (Xiaomo Liu; Jian Jiao) || Department of Accounting and Information Systems, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA (Weiguo Fan) || Department of Business Information Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA (Gang Wang) |
| Abstract | It is an important knowledge management task to evaluate a user's domain knowledge in a knowledge community. We present a new domain knowledge representation method that considers both user-document associations and document-topic relevance. We provide three alternative user-document association models with varying syntactic and semantic inferences and two alternative document-topic relevance models with different assumptions on knowledge diffusion. We compare the effectiveness of different knowledge representation methods using the combinations of these alternatives. Using a real data set collected from the Sun forums, we find that the vector space model for user-document association combined with the medium-level diffusion model outperform all other model combinations. |
| Starting Page | 404 |
| Ending Page | 409 |
| File Size | 244967 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424473243 |
| e-ISBN | 9788988678220 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | AICIT |
| Subject Keyword | Topic modeling Decision making Knowledge representation Information retrieval Knowledge management Sun Information technology Information systems Online communities Computer science User knowledge Tag clouds Large-scale systems |
| Content Type | Text |
| Resource Type | Article |
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