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基于WordNet与Wikipedia的平面几何本体的构建 被引量:1

Semi-Automatic Construction of Plane Geometry Ontology Based-on WordNet and Wikipedia
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摘要 针对目前本体构建中存在的如手工构建难以确保高效性和可扩展性,且自动构建难度大,可操作性不强等研究现状,提出了一种基于WordNet和Wikipedia的学科领域本体半自动构建方法。首先构建一个领域顶层本体,在此基础上,重用WordNet的结构,从深度上对其进行术语和术语层次的扩展;同时根据Wikipedia中的页面信息,从广度上对其进行术语间关系的扩展和术语的补充;并将该本体构建方法应用于平面几何领域。实验表明该方法能大大提高本体构建的效率,并在一定程度上保证了本体的质量。 Ontology, as a member of the Semantic Web's hierarchical structure, is located in the central position. Regarding the current research situation of ontology construction, the manual construction is difficult to ensure its efficiency and scalability; and the automatic construction is hard to guarantee its interoperability. This paper presents a semi-automatic domain ontology construction method based on WordNet and Wikipedia. First, we construct the top-level ontology and then reuse WordNet structure to expand the terminology and terminology-level at the depth of the ontology. Furthermore, we expand the relationship and supplement the terminology at the width of the ontology by referring to page information of Wikipedia. Finally, this method of ontology construction is applied in elementary geometry domain. The experiments show that this method can greatly improve the efficiency of ontology construction and ensure the quality of the ontology to some degree.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2014年第4期575-580,共6页 Journal of University of Electronic Science and Technology of China
基金 国家自然科学基金面上项目(61073099) 国家自然科学基金(61202257)
关键词 领域本体 半自动构建 维基百科 WORDNET domain ontology semi-automatic construction Wikipedia WordNet
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参考文献11

  • 1高志强,潘越,马力,等.语义wleb原理及其应用[M].北京:机械工业出版社.2009.
  • 2FORTUNA B, GROBELNIK M, MLADENIC D. Semi-automatic construction of topic ontology[C]//The Second International WorkShop on Knowledge Discovery and Ontologies. [S.I.]: [s.n.], 2005.
  • 3NAVIGLI R, VELARDI P. Learning domain on to ontologies from document warehouses and dedicated web sites[J]. Computational Linguistics, 2004, 30(2): 151-179.
  • 4LIU Bai-song, GAO Ji. General ontology learning framework[J]. Journal of Southeast University, 2006, 22(3): 381-384.
  • 5LEE Chang-shing, KAO Yuan-fang, KUO Yau-hwang, et al. Automated ontology construction for unstructured textdocuments[J]. Data & Knowledge Engineering, 2006, 60(3): 547-566.
  • 6SUCHANEK F M, KASNECI C. WEIKUM G YAGO: a core of semantic knowledge unifying WordNet and Wikipedia[EB/OL]. [2012-08-12]. http://www2007.org/ papers/paper391.pdf.
  • 7Princeton university. Wordnet[EB/OL]. [2012-08-12]. http: //wordnet.priceton.edu.
  • 8Wikipedia.Wiki[EB/OL]. [2012-08-12]. http://zh.wikipedia. org/wiki.
  • 9NOY N F, MCGU1NNESS D L. A guide to creating your first ontology[EB/OL]. [2012-08-12]. http://protege. stanford.edu/publications/ontology_development/ontology 1 0 1.pdf.
  • 10钟秀琴,符红光,丁盘苹.基于本体与Prolog的平面几何定理证明[J].电子科技大学学报,2011,40(3):429-434. 被引量:4

二级参考文献16

  • 1赵子都.定理机器证明[J].自然辩证法研究,1994,10(5):46-50. 被引量:4
  • 2眭跃飞,高颖,曹存根.NKI中的本体、框架和逻辑理论(英文)[J].软件学报,2005,16(12):2045-2053. 被引量:7
  • 3王海涛,曹存根,高颖.基于领域本体的半结构化文本知识自动获取方法的设计和实现[J].计算机学报,2005,28(12):2010-2018. 被引量:31
  • 4吴文俊.初等几何判定问题与机械化证明[J].中国科学,1977,(6):507-516.
  • 5BOSE N K. Multidimensional systems theory[M]. [S.I.]. Reidel Publishing Company, 1985: 184-232.
  • 6ZHANG Jin-zhong, ZHOU Xian-qing, GAO Xiao-shan. Automated production of traditional proofs for theorems in euclidean geometry[J]. Annals of Mathematics and Artificial Intelligence, 1995, 13: 109.
  • 7FU Hong-guang, ZHONG Xiu-qin, ZENG Zhcn-bing. Automated and readable simplification of trigonometric cxprcssions[J]. Mathematical and Computer Modeling, 2006, 44(11-12): 1169-1177.
  • 8ZHOU Xian-qing, Gao Xiao-shan, Zhang Jin-zhong. A deductive database approach to automated geometry theorem proving and discovering[J]. Journal of Automated Reasoning, 2000, 25(3):219-246.
  • 9PEN Nan, LIU Jian-yi, GE Shi-lun. Enterpise ontology for supporting MIS design[C]//Proceedings of the Seventh International Conference on Information and Management Sciences. Urumchi, China: China Academic Journal Electronic Publishing House, 2008: 77-80.
  • 10STUDER R, BENJAMINS V R, FENSEL D. Knowledge engineering, principles and methods[J]. Data & Knowledge Engineering, 1998, 25(1): 161-197.

共引文献43

同被引文献13

  • 1Razmerita L. An ontology-based framework for modeling user be- havior-A case study in knowledge management [ J]. IEEE Trans- actions on Systems, Manand Cybernetics, Part A : Systems and Hu- mans,2011,41 (4) :772-783.
  • 2Viviani M, Bennani N, Egyed-Zsigmond E. A survey on user mod- eling in multi-application environments [ C ]// Advances in Hu- man-Oriented and Personalized Mechanisms, Technologies and Services (CENTRIC). Nice, France : IEEE,2010 : 111 - 116.
  • 3Studer R, Benjamins V R, Fensel D. Knowledge engineering : prin- ciples and methods[ J]. Data Knowl Eng,1998,25 (1) :161-197.
  • 4Jiang X,Tan A H. Learning and inferencing in user ontology for personalized Semantic Web search [ J]. Inform Sci, 2009, 179 (16) :2794-2808.
  • 5Pretschner A, Gauch S. Ontology based personalized search [ C ] // Tools with Artificial Intelligence. Chicago, Illinois : IEEE, 1999 : 391-398.
  • 6Mimi A, Bahloul S N. Protect user anonymity in query log [ C ]// Machine and Web Intelligence (ICMWI). Algiers, Algeria: IEEE ,2010:421-425.
  • 7Chen S,Du Y,Peng Q. Extracting Query Expansion Terms Based on User~ Search Behavior[ C l// Computational Intelligence and Design. Changsha, China : IEEE,2009,1:268-271.
  • 8Chen R C ,Bau C T,Yeh C J. Merging domain ontologies based on the WordNet system and Fuzzy Formal Concept Analysis tech- niques [ J ]. Appl Soft Comput ,2011,11 (2) : 1908-1923.
  • 9Wanberg C R, Kammeyer-Mueller J, Marchese M. Mentor and prot6g6 predictors and outcomes of mentoring in a formal mento- ring nrom'am[J].1 Vocat Behav_2006 69 ( 3 ): 410 -423.
  • 10司海平,方沩,唐鹏,曹永生.基于SOA的农作物种质资源调查信息系统研究[J].植物遗传资源学报,2010,11(5):517-521. 被引量:15

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