期刊文献+

An Ontology Reasoning Architecture for Data Mining Knowledge Management 被引量:3

An Ontology Reasoning Architecture for Data Mining Knowledge Management
下载PDF
导出
摘要 In order to realize the intelligent management of data mining (DM) domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include:①Describing DM ontology and meta-data using ontology based on Web ontology language (OWL).② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL(s). In order to realize the intelligent management of data mining (DM) domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include:①Describing DM ontology and meta-data using ontology based on Web ontology language (OWL).② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL(s).
出处 《Wuhan University Journal of Natural Sciences》 CAS 2008年第4期396-400,共5页 武汉大学学报(自然科学英文版)
基金 the Natural Science Foundation of Chongqing (CSTC2005BB2190)
关键词 ONTOLOGY data mining knowledge management ontology reasoning ontology data mining knowledge management ontology reasoning
  • 相关文献

参考文献10

  • 1Hand D,Mannila H.Principles of Data Mining[]..2001
  • 2Bernstein A,Provost F.Intelligent Assistance for the Data Mining Process: An Ontology-Based Approach[]..2002
  • 3Cannataro M,Comito C.A Data Mining Ontology for Grid Programming. http://citeseerx.ist.psu. edu/viewdoc/summary-doi=10.1.1.14.5123 . 2006
  • 4Dean M,Schreiber G.OWL Web Ontology Language Refer- ence. http://www.w3.org/TR/2003/WD- owl-ref-20030331/ . 2003
  • 5Noy N F,Fergerson R W.The Knowledge Model of Pro- tégé-2000: Combining Interoperability and Flexibility[].Proceedings of the th International Conference on Knowledge Engineering and Knowledge Management (EKAW’).2000
  • 6HP Labs.Jena: A Semantic Web Framework. http://www.hpl.hp.com/semweb/jena2.htm . 2004
  • 7Haarslev V,Moller R.RACER System Description[].Pro- ceedings of the International Joint Conference on Automated Reasoning (IJCAR’).2001
  • 8Han J,Kambr M.Data Mining: Concepts and Techniques[]..2001
  • 9Horrocks I.Using an Expressive Description Logic: FaCT or Fiction-[].Proceedings of the International Conference on Knowledge Representation.1998
  • 10Neches R,Fikes R E,Gruber T R,et al.Enabling Technology for Knowledge Sharing[].The AI Magazine.1991

同被引文献28

  • 1袁付礼,喻红阳.协作产品创新平台及其构建[J].当代经济,2005(7):78-79. 被引量:3
  • 2刘丽群,宋咏梅.虚拟社区中知识交流的行为动机及影响因素研究[J].新闻与传播研究,2007,14(1):43-51. 被引量:48
  • 3Luba Cherhakov. SOA Meets Situational Applications [ EB/ OL]. http://www, ibm. com/developerworks/webservices/ library./ws-soa-situational3/? S_CMP = cn-a-aix&S_TACT = 105AGX52,2008-07-03.
  • 4Stephen Watt. Mashups--The Evolution of the SOA [ EB/ OL]. http://www, ibm. com/developerworks/webservices/ lihrary/ws-soa-mashups/index, html,2007-10-25.
  • 5Anant Jhingran. Enterprise information mashups:Integrating information,simply[ C ]//Proceedings of the 32nd International Conference on Very Large Data Bases. New York: ACM ,2006:3-4.
  • 6Jin Yu. Understanding mashup development [ J ]. IEEE Intemet Computing,2008,12( 5 ) :44-52.
  • 7Duncan Hull. Deciding semantic matching of stateless services[ C ]//Proceedings of the National Conference on Artificial Intelligence. California:AAAI Press ,2006 : 16-20.
  • 8Nezhad H R Motabarl, et al. Semi-automated adaptation of service interactions[ C ]//Proceedings of the 16th International Conference on World Wide Web. Banff, Alberta, Canada, 2007 : 993-1002.
  • 9Wever B D. E-learning 2.0 : Social software for educational use[ C ]//Proceedings of the 9th IEEE International Symposium. Washington, DC: IEEE Computer Society, 2007: 511-516.
  • 10Cesare Pautasso. RESTful Web service composition with BPEL for REST[ J ]. Data & Knowledge Engineering,2009, 68(9) :851-866.

引证文献3

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部