以知識本體為基礎之特定領域文件段落擷取方法及應用

林顯堂

doi:10.6342/NTU.2009.01174

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以知識本體為基礎之特定領域文件段落擷取方法及應用

An Ontology-based Passage Retrieval Method and Application for Domain-Specific Documents

林顯堂 , Ph.D　　Advisor：謝尚賢　　

繁體中文 DOI： 10.6342/NTU.2009.01174

資訊檢索；知識本體；文件段落檢索；知識管理；搜尋引擎；測試文件集； Information Retrieval ； Ontology ； Passage Retrieval ； Knowledge management ； Search Engine ； Reference Collection

Abstract │ Reference (110) │ Times Cited (3) │ Altmetrics

Abstract 〈TOP〉

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The major purpose of this research is to discover the information retrieval related characteristics of the domain-specifics text documents during the development of the IR models for architecture, engineering and construction domain. The authors proposed a set of research progress to finding the solution to improve the retrieval performance for domain-specific documents, including: a. preparing the testing reference collection to provide a standard platform for evaluating the developed IR models; b. propose a methodology to extract the domain ontology from domain handbooks, and to reduce the work load for participating experts while editing and revising the ontology; c. propose a novel passage retrieval model, named “OntoPassage”, it takes domain ontology to producing concept-oriented passages that could improve the retrieval performance of the domain-specific IR. In the thesis, the research objectives, problems faced and proposed solutions of each progress were discussed separated in independent chapters. The experiment results showed the OntoPassage could highly improve the retrieval performance. OntoPassage retrieval system also demonstrates the potential success of learning and sharing the domain knowledge by using the concept-oriented retrieval scenario.

Reference ( 110 ) 〈TOP〉

[1] C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008.
連結：
[2] Y. Rui, T. S. Huang, and S. F. Chang, “Image retrieval: current techniques, promising directions, and open issues,” Journal of Visual Communication and Image Representation, Vol. 10(1), pp. 39-62, 1999.
連結：
[3] J. Foote, “Overview of audio information retrieval,” Multimedia Systems, Vol. 7(1), pp. 2-10, 1999.
連結：
[4] S. W. Smoliar and H. J. Zhang, “Content-based video indexing and retrieval ,“ IEEE Multimedia, Vol. 1 (2), pp. 62-72, 1994.
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[6] N. J. Belkin and W. B. Croft, “Information filtering and information retrieval: two sides of the same coin?” Communications of the ACM, Vol. 35(12), pp. 29–38, 1992.
連結：

Times Cited (3) 〈TOP〉

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