Computer Science ›› 2013, Vol. 40 ›› Issue (8): 261-265.

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Knowledge Presentation of Association Rules Based on Conceptual Graphs

GUO Xiao-bo,ZHAO Shu-liang,LIU Jun-dan,ZHAO Jiao-jiao and WANG Chang-bin   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Considering the problems aroused by the traditional association rules presentation formalizing approaches which are powerless to demonstrate the domain knowledge,especially not conducive to express the relationships of items and the implicit information of rules,this paper introduced a novel methodology for the knowledge representation of association rules based on conceptual graphs.The proposed methodology consists of schema definition and schema parse,and these two schemas can effectively parse the association rules into the conceptual graphs representation formalism by using conceptual graphs.At the end ,this paper illustrated the advantages of the new method with the help of experimental data obtained from demographic data of a province,and the realistic application analysis and experimental results turn out that this methodology has much excellent representation effects for the demographic domain knowledge.

Key words: Knowledge presentation,Conceptual graphs,Association rules,Demographic data

[1] Sowa J F.Conceptual Structures:Information Processing inMind and Machine [M].Boston:Addison Wesley,1984
[2] Sowa J F.Conceptual graphs summary [C]∥Conceptual Structures:Current Research and Practice.New Jersey:Ellis Horwood Upper Saddle River,1992:3-52
[3] Kamaruddin S,Hamdan A,Bakar A,et al.Conceptual graph interchange format for mining financial statements [C]∥RSKT 2009:Rough Sets and Knowledge Technology 4th International Conference,LNCS 5589.Berlin:Springer-Verlag,2009:579-586
[4] Hernández-Gracidas C,Sucar L.Modeling spatial relations forimage retrieval by conceptual graphs [C]∥CWPR 2009:First Chilean Workshop on Pattern Recognition:Theory and Applications.Washington,DC:IEEE Computer Society,2009
[5] Montes-y-Gómez M,Gelbukh A,López-López A.Discoveringassociation rules in semi-structured data sets [C]∥IJCAI-2001:Workshop on Knowledge Discovery.Washington,DC:Morgan Kaufmann,2001
[6] Andrews S,Polovina S.A mapping from conceptual graphs to formal concept analysis [C]∥ICCS’11:Proceedings of the 19th International Conference on Conceptual Structures for Discovering Knowledge,LNAI 6828.Berlin:Springer-Verlag,2011:63-76
[7] Varga V.Conceptual graphs based representation and querying of databases [C]∥AQTR 2010:IEEE International Conference on Automation,Quality and Testing,Robotics.Berlin:Springer-Verlag,2010:1-6
[8] 陈宁,陈安.基于模糊概念图的文档聚类及其在Web中的应用[J].软件学报,2002,3(8):1598-1605
[9] 杨选选,张蕾.基于语义角色和概念图的信息抽取模型[J].计算机应用,2010,0(2):411-414
[10] Kamaruddin S.Dissimilarity algorithm on conceptual graphs to mine text outliers [C]∥DMO’09:2nd Conference on Data Mi-ning and Optimization.Washington,DC:IEEE Computer Society,2009:46-52
[11] Bogatyrev M,Kolosff A.Using conceptual graphs for text mi-ning in technical support services [C]∥PReMI 2011:Procee-dings of the 4th International Conference on Pattern Recognition and Machine Intelligence.Berlin:Springer-Verlag,2011:466-471
[12] Comparot C.An easy way of expressing conceptual graph queries from keywords and query patterns [C]∥ICCS’10:Procee-dings of the 18th International Conference on Conceptual structures:from Information to Intelligence.Berlin:Springer-Verlag,2010:84-96
[13] 'lusarczyk G.Visual language and graph-based structures in con- ceptual design [J].Advanced Engineering Informatics,2012,26(2):267-279
[14] Croitoru M.Graphical norms via conceptual graphs [J].Know-ledge-Based Systems,2012,9:31-43
[15] Bruzzese D,Davino C.Visual mining of association rules [C]∥Visual Data Mining:Theory,Techniques and Tools for Visual Analytics,LNAI 6208.Berlin:Springer-Verlag,2008:103-122

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