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    政大機構典藏 > 商學院 > 會計學系 > 期刊論文 >  Item 140.119/64417
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/64417


    Title: A schema and ontology-aided intelligent information integration, Expert Systems with Applications
    Authors: Seng, Jia-Lang;Kong, I. L.
    諶家蘭
    Contributors: 會計系
    Keywords: Intelligent information integration;XML;Ontology;Syntactic and semantic interoperability
    Date: 2009-09
    Issue Date: 2014-03-04 15:25:33 (UTC+8)
    Abstract: The research issues of intelligent information integration have become ubiquitous and critically important in e-business (EB) with the increasing dependence on Internet/Intranet and information technology (IT). Accessing the intelligent information sources separately without integration may lead to the chaos of information requested. It is also not cost-effective in EB settings. A common general way to deal with heterogeneity problems in traditional III is to create a common data model. The eXtensible Markup Language (XML) has been the standard data document format for exchanging information on the Web. XML only deals with the structural heterogeneity; it can barely handle the semantic heterogeneity. Ontologies are regarded as an important and natural means to represent the implicit semantics and relationships in the real world. And they are used to assist to reach semantic interoperability in III in this research. In this paper, we provide a generic construct orientation no ad hoc method to generate the global schema to enable the web-based alternative to traditional III. We provide a wiser query method over multiple intelligent information sources by applying global-as-view (GAV) and local-as-view (LAV) approach with the use of ontology to enhance both structural and semantic interoperability of the underlying intelligent information sources. We construct a prototype implementing the method to provide a proof on the validity and feasibility.
    The research issues of intelligent information integration have become ubiquitous and critically important in e-business (EB) with the increasing dependence on Internet/Intranet and information technology (IT). Accessing the intelligent information sources separately without integration may lead to the chaos of information requested. It is also not cost-effective in EB settings. A common general way to deal with heterogeneity problems in traditional III is to create a common data model. The eXtensible Markup Language (XML) has been the standard data document format for exchanging information on the Web. XML only deals with the structural heterogeneity; it can barely handle the semantic heterogeneity. Ontologies are regarded as an important and natural means to represent the implicit semantics and relationships in the real world. And they are used to assist to reach semantic interoperability in III in this research. In this paper, we provide a generic construct orientation no ad hoc method to generate the global schema to enable the web-based alternative to traditional III. We provide a wiser query method over multiple intelligent information sources by applying global-as-view (GAV) and local-as-view (LAV) approach with the use of ontology to enhance both structural and semantic interoperability of the underlying intelligent information sources. We construct a prototype implementing the method to provide a proof on the validity and feasibility.
    Relation: Expert Systems with Applications, 36(7), 10538-10550
    Data Type: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2009.02.067
    DOI: 10.1016/j.eswa.2009.02.067
    Appears in Collections:[會計學系] 期刊論文

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