International Journal of Human-Computer Studies
Selecting keywords to represent web pages using Wikipedia information
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Enhancing biomedical concept extraction using semantic relationship weights
International Journal of Data Mining and Bioinformatics
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The well-known Wikipedia can serve as a comprehensive knowledge repository to facilitate textual content analysis, due to its abundance, high quality and well-structuring. In this paper, we propose WikiRank - a Wikipedia-graph based ranking model, which can be used to extract key Wikipedia concepts from a document. These key concepts can be regarded as the most salient terms to represent the themeof the document. Different from other existing graph-based ranking algorithms, the concept graph used for ranking in this model is constructed by leveraging not only the co-occurrence relations within the local context of a document but also the preprocessed hyperlink-structure of Wikipedia. We have applied the proposed WikiRank model with the Support Propagation ranking algorithm to analyze the news articles, especially for enterprise news. These promising applications include Wikipedia Concept Linking and Enterprise Concept Cloud Generation.