Discovering patterns from ontology-derived texts
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摘要We propose a framework for constructing semantic features for textual documents from tackling the problem of abstracting information in document representation. Semantic patterns are discovered from ontology-derived texts which provide rich contextual information regarding the concepts. The patterns represent the syntactic and semantic relationships implied in the textual documents which can help in extracting and representing the underlying concepts in texts. We also investigate the significance of using the patterns in automatic summarization of biomedical articles.
著者Chan K, Lam W
會議名稱8th International Conference on Asian Digital Libraries (ICADL 2005)
會議開始日12.12.2005
會議完結日15.12.2005
會議地點Bangkok
期刊名稱Lecture Notes in Artificial Intelligence
出版年份2005
月份1
日期1
卷號3815
出版社SPRINGER-VERLAG BERLIN
頁次395 - 399
國際標準書號3-540-30850-4
國際標準期刊號0302-9743
語言英式英語
關鍵詞information mining; pattern discovery; semantic feature extraction; text mining
Web of Science 學科類別Computer Science; Computer Science, Information Systems; Computer Science, Theory & Methods

上次更新時間 2021-11-05 於 01:10