Research on Dynamic Ontology Construction Method for Knowledge Fusion in Group Corporation
In Group Corporation, the large number of distributed and heterogeneous knowledge resources makes it difficult to give full play to their integrated benefit. Knowledge Fusion is proposed to solve this problem. Aiming at the specific characters of Group Co
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Abstract In Group Corporation, the large number of distributed and heterogeneous knowledge resources makes it difficult to give full play to their integrated benefit. Knowledge Fusion is proposed to solve this problem. Aiming at the specific characters of Group Corporation, this paper presents a method for Multiple Domain Ontology Construction. Dynamic ontology is a temporary ontology built on the base of Multiple Domain Ontology to compact the knowledge requirements and form the target knowledge resources. A Dynamic Ontology Construction Method is also proposed by analyzing knowledge requirements for more effective Knowledge Fusion. At the end of the paper, an application example of Dynamic Ontology Construction is presented to prove the feasibility of the method.
Keywords Dynamic ontology Multiple domain ontology Knowledge Fusion Group Corporation
1 Introduction As the most important intelligent resource, knowledge contributes to the product design and manufacture, in this knowledge-intensive world. However, there are a large number of distributed and heterogeneous knowledge resources scattered around the inside of Group Corporation. Due to the lack of unified organization and management, the knowledge resources can neither give full play to the integrated benefit, nor support the business processes effectively [1]. With the development of semantic web and text mining technology, ontology-based Knowledge Fusion has been widely researched and applied. Aimed at specific J. Liu (&) W. Xu H. Jiang School of Mechanical Engineering and Automation, Beihang University, Beijing, China e-mail: [email protected]
Z. Wen and T. Li (eds.), Knowledge Engineering and Management, Advances in Intelligent Systems and Computing 278, DOI: 10.1007/978-3-642-54930-4_29, Springer-Verlag Berlin Heidelberg 2014
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knowledge requirements, Knowledge Fusion can integrate knowledge resources effectively at the semantic level and provide more targeted services. Knowledge Fusion is an interdiscipline of knowledge science and information science. Its basic concepts and fundamental techniques are derived from the information fusion and knowledge integration [2]. Knowledge engineers fuse knowledge with different types, contents, features, and positions to give full play to the integrated benefit of on-demand knowledge supply, thus achieve the goal of knowledge innovation. As an explicit specification of a conceptualization [3], ontology could effectively support knowledge acquisition, organization, management, and application by the uniform semantic description of knowledge resources [4, 5]. However, the Knowledge Fusion in Group Corporation is quite complicated, which contains sorting, modeling, acquisition, and processing of the multi-source and heterogeneous knowledge. Therefore, adjustments for specific situations are necessary to organize knowledge resources by ontology in Group Corporation. The Group Corporations focus on the dynamic matching between requirements and services. Hence, two features
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