網路普及化時代的來臨，使得資訊的取得不再是件困難的事，相對地也衍生出資訊過載的困擾，使用者在面對如此龐雜的大型資料來源時，往往難以有效且快速地找到符合需求的資訊。因此，近年來許多學者投入資訊擷取相關領域的研究，致力於發展出更快更有效的資訊取方法；文件摘要技術在這個領域扮演了相當重要的角色。摘要的意義在於以簡潔的文句來表達整篇文章所包含的資訊，幫助使用者快速地瀏覽文章。因此，欲從一篇文章產生摘要必須對文章的內容有相當程度的分析與了解才能作到。目前一般的文件自動摘要技術，多半以摘錄文章的某一段落或使用統計分析，計算句子的權重分數，位置等因素，以擷取具代表性的句子組成摘要，其摘要內容的正確性，整體連貫性皆有改善空間。而以中文為應用的摘要系統由於中文語言的複雜性更具挑戰。本研究建構一以本體論(ontology)為基礎的中文文件摘要產生系統，系統以本體論表達欲取出的摘要知識結構，並透過一層直譯層處理本體論與文章內容之間的對映。在直譯層中，我們利用案例式推理(CBR)的方式解析自然語言文句，將文句中相關於本體論的概念實例擷取出來，透過本體論的推論，轉換成以事件本體論(event ontology)為中介描述的結構化資訊。此結構化的資訊將能夠利用預先建置的文句樣板將之轉換成使用者所需要的摘要。本研究實驗的對象為NBA球賽相關報導，實驗的結果顯示本研究所提出的系統在摘要句擷取與本體論概念的辨識上能達到82%與80%的準確率。

none

顏國偉、黃炳蔚 (2000)。基於知網的中文信息結構標注手冊。香港法住文化書院，未出版。

董振東、董強：知網。(http://www.keenage.com)。

Aamodt,A., Plaza,E.,(1994). Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications, 7(1), 39-52.

Alani, H., Kim, S., Millard, D. E., Weal, M. J., Hall, W., Lewis, P. H., & Shadbolt, N. R. (2003). Automatic Ontology-Based Knowledge Extraction from Web Documents. IEEE Intelligent Systems, 18(1), 14-21.

Baeza-Yates, R., & Ribeiro-Neto, B. (1999) Modern Information Retrieval. New York: The ACM Press.

CKIP AutoTag, available at http://gode1.iis.sinica.edu.tw/CKIP/

Davies J., Fensel, & D., Harmelen, F. V., (2003), Towards the Semantic Web: Ontology-driven Knowledge Management. New York: Wiley.

Dieng, R., Corby, O., Giboin, A., & Ribière, M. (1999). Methods and Tools for Corporate Knowledge Management. International Journal of Human-Computer Studies, 51, 567–598.

Erich ,G., Richard, H., Ralph J., & John V., (1995) Design Patterns. Boston: Addison-Wesley Professional.

Fensel, D. (2000). Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. German : Springer.
Foo, S. & Li, H. (2004). Chinese word segmentation and its effect on information retrieval, Information Processing and Management, 40, 161–190.

Gruber, T. R. (1995). Towards principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies, 43, 907-928.

Guarino, N. (1997). Understanding, Building and Using Ontologies: A Commentary to Using Explicit Ontologies in KBS Development. International Journal of Human and Computer Studies, 46, 293-310.

Heylighen, F., (1995), Ontology introduction. Retrieved December 20, 2004, from the World Wide Web: http://pespmc1.vub.ac.be/ONTOLI.html

Maedche, A., & Staab, S., (2001). Ontology Learning for the Semantic Web. IEEE Intelligent Systems, 16(2), 72–79.

Maedche, A., Motik, B., Stojanovic, L.,Studer, R., & Volz, R., (2003). Ontologies for Enterprise Knowledge Management. IEEE Intelligent Systems. 18(2). 26-33.

Mani, I. (2000). The Challenges of Automatic Summarization. IEEE Computer Society Press, Los Alamitos, CA, USA . Volume 33 , Issue 11 Pages: 29 - 36

Mani, I. (2001). Recent Developments in Text Summarization. Proceedings of the 10th international conference on Information and knowledge management, Atlanta, Georgia, USA.

Minghong, L., Andreas, A., Ansger, B., Knut, H., & Michael, S. (1999, June). Ontologies for Knowledge Retrieval in Organizational Memories. International Workshop on Learning Software Organizations (LSO) at SEKE'99, Kaiserslautern, Germany.

Noy, N. F., & McGuinness, D. L. (2001). Ontology Development 101: A Guide to Creating Your First Ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880.

Rush, J.E., Salvador, R. & Zamora, A. (1971), Automatic abstracting and indexing. II. Production of indicative abstracts by application of contextual inference and syntactic coherence criteria. Journal of the American Society for Information Science, 22(3), 260-274.

Selection Engine, available at http://selectionengine.sourceforge.net/

Silva, F., Vasconcelos, V., & Robertson, D. (2002). On the Insufficiency of Ontologies: Problems in Knowledge Sharing and Alternative Solutions. Knowledge-Based Systems, 15, 147-167.

Soo, V. W. , Lee, C. Y., Li, C. C., Chen, S. L., Chen, C. C. (2003). Automated semantic annotation and retrieval based on sharable ontology and case-based learning techniques. Proceedings of the third ACM/IEEE-CS joint conference on Digital libraries, Houston, Texas

Soo, V. W., Lee, C. Y., Yeh, C. C., & Chen, C. C. (2002). Using Sharable Ontology to Retrieve Historical Images. Proceedings of ACM/IEEE International Joint Conference on Digital Library, Portland, Oregon, USA.

Tiwana, A. & Ramesh, B. (2001). Integrating Knowledge on the Web. IEEE Internet Computing, 5(3), 32-39

Uschold, M., Gruninger, M. (1996). Ontologies: Principles, Methods and Applications, The Knowledge Engineering Review, 11, 93-136.

Waterson, A. & Preece, A. (1999). Verifying Ontological Commitment in Knowledge-based Systems. Knowledge-Based System, 12, 45-54.