• Article
  • | |
  • Metrics
  • |
  • Reference [13]
  • |
  • Related [20]
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    The representation of mathematical knowledge is an important aspect of knowledge representation. It is the foundation for knowledge-based automated theorem proving, mathematical knowledge retrieval and intelligent tutoring systems, etc. According to the problems that are encountered in designing the mathematical knowledge representation language in NKI (national knowledge infrastructure) and after the discussion of ontological assumptions for mathematical objects, two kinds of formalisms for the representation of mathematical knowledge are provided. One is a description logic in which the range of an attribute can be a formula in some logical language; and another is a first order logic in which an ontology represented by the description logic is a part of the logical language. In the former representation, if no restrictions are imposed on formulas, then there is no algorithm to realize the reasoning in the resulted knowledge base; in the latter representation, the reasoning in the ontology represented by the description logic is decidable, while in general, for mathematical knowledge described by the first order logic which contains the ontology represented by the description logic, there is no algorithm to realize its reasoning. Hence, in the representation of mathematical knowledge, it is necessary to distinguish conceptual knowledge (knowledge in an ontology) and non-conceptual knowledge (knowledge represented by a language containing the ontology). Frames and description logics can represent and reason effectively about conceptual knowledge, but the addition of non-conceptual knowledge to frames or knowledge bases may make the reasoning in the resulted knowledge bases not decidable and there is even no algorithm to reason about the knowledge bases. Therefore, it is suggested that in representing mathematical knowledge, frames or description logics are used todescribe conceptual knowledge, and the logical languages containing the knowledge base represented by the frames or description logics are used to represent non-conceptual knowledge.

    Reference
    [1]Broekstra J,Klein M,Decker S,Fensel D,van Harmelen F,Horrocks I.Enabling knowledge representation on the Web by extending RDF schema.In:Proc.of the 10th World Wide Web Conf.Springer-Verlag,2001.467-478.http://wwwis.win.tue.nl:8080/~jbroekst/papers/www10.pdf
    [2]Buswell S,Caprotti O,Carlisle DP,Dewar MC,Gaetano M,Kohlhase M.The OpenMath standard.2004.Http://www.openmath.Org/cocoon/openmath/standard/om20/omstd20.pdf
    [3]Caprotti O,Carlisle D.OpenMath and MathML:Semantic mark up for mathematics.In:ACM Crossroads.ACM Press,1999.http://www.acm.org/crossroads/xrds6-2/openmath.html
    [4]Ausbrooks R,Buswell S,Carlisle D,Dalmas S,Devitt S,Diaz A,Froumentin M,Hunter R,Ion P,Kohlhase M,Miner R,Poppelier N,Smith B,Soiffer N,Sutor R,Watt S.Mathematical Markup Language (MathML) Version 2.0.2nd ed.,2003.http://www.w3.org/TR/ 2003/REC-MathML2-20031021
    [5]Smirnova ES,So CM,Watt SM.An architecture for distributed mathematical Web services.In:Asperti A,et al.,eds.Proc.of the 3rd Int'l Conf.on Mathematical Knowledge Management.LNCS 3119,Springer-Verlag,2004.363-377.http://www.csd.uwo.ca/ ~watt/pub/reprints/2004-mkm-mathserv.pdf
    [6]Cao CG,Feng QZ,Gao Y,Gu F,Si JX,Sui YF,Tian W,Wang HT,Wang LL,Zeng QT,Zhang CX,Zheng YF,Zhou XB.Progress in the development of national knowledge infrastructure.Journal of Computer Science and Technology,2002,17(5):523-534.
    [7]Zeng QT.Research on knowledge acquisition and analysis of mathematical concepts[Ph.D.Thesis].Beijing:Institute of Computing Technology,the Chinese Academy of Sciences,2005 (in Chinese with English abstract).
    [8]Baader F,Calvanese D,McGuinness DL,Nardi D,Patel-Schneider F.The Description Logic Handbook.Cambridge:Cambridge University Press,2002.
    [9]Borgida A.On the relative expressive power of description logics and predicate calculus.Artificial Intelligence,1996,82:353-367.
    [10]Fensel D,van Harmelen F,Horrocks I,McGuinnesset D,Patel-Schneider F.OIL:An ontology infrastructure for the semantic Web.IEEE Intelligent Systems,2001,16(2):38-45.
    [11]McGuinness D.Ontologies come of age.In:Fensel D,Hendler J,Lieberman H,Wahlster W,eds.Spinning the Semantic Web:Bringing the World Wide Web to Its Full Potential.MIT Press,2002.
    [12]McGuinness D,van Harmelen F.OWL Web ontology language:Overview.2003.http://www.w3.org/TR/2003/WD-owl-features-20030331/
    [7]曾庆田.数学概念的知识获取与分析方法研究[博士学位论文].北京:中国科学院计算技术研究所,2005.
    Cited by
Get Citation

曹存根,眭跃飞,孙瑜,曾庆田.国家知识基础设施中的数学知识表示.软件学报,2006,17(8):1731-1742

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 24,2005
  • Revised:December 12,2005
You are the first2038724Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063