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Published in:
2013 | OriginalPaper | Chapter
A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia
Authors : Peng Yan, Wei Jin
Published in: Natural Language Processing and Information Systems
Publisher: Springer Berlin Heidelberg
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In this paper, we present a new model that incorporates the extensive knowledge derived from Wikipedia for cross-document knowledge discovery. The model proposed here is based on our previously introduced Concept Chain Queries (CCQ) which is a special case of text mining focusing on detecting semantic relationships between two concepts across multiple documents. We attempt to overcome the limitations of CCQ by building a semantic kernel for concept closeness computing to complement existing knowledge in text corpus. The experimental evaluation demonstrates that the kernel-based approach outperforms in ranking important chains retrieved in the search results.