A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia
Authors | Peng Yan Wei Jin |
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Publication date | 2013 |
DOI | 10.1007/978-3-642-38824-8_27 |
Links | Original Preprint |
A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Peng Yan and Wei Jin.
Overview
In this paper, authors present a new model that incorporates the extensive knowledge derived from Wikipedia for cross-document knowledge discovery. The model proposed here is based on 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. Authors 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.
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Wikipedia Quality
Peng, Yan; Wei, Jin. (2013). "[[A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-38824-8_27.
English Wikipedia
{{cite journal |last1=Peng |first1=Yan |last2=Wei |first2=Jin |title=A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia |date=2013 |doi=10.1007/978-3-642-38824-8_27 |url=https://wikipediaquality.com/wiki/A_New_Approach_for_Improving_Cross-Document_Knowledge_Discovery_Using_Wikipedia |journal=Springer, Berlin, Heidelberg}}
HTML
Peng, Yan; Wei, Jin. (2013). "<a href="https://wikipediaquality.com/wiki/A_New_Approach_for_Improving_Cross-Document_Knowledge_Discovery_Using_Wikipedia">A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia</a>". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-38824-8_27.