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E-business and logistics systems provide support for business activities of many enterprises. But the heterogeneities of those systems hamper their interoperations and increase the cost of integration among different systems. This paper proposes an ontology-based semantic integration framework for e-business and logistics systems, which consists of the following components: Web service interface for...
Existing studies about domain knowledge in ontology learning and knowledge acquisition mostly focus on finding concepts and is-a relations among them. However, attribute that is important for the understanding of concepts has received little attention. Thus, this paper proposes an approach for finding attributes from candidates using attribute sememe knowledge defined in HowNet. Candidate attributes...
Attribute relation learning is important, but has been few studied. This paper proposes hybrid strategies for attribute relation acquisition from candidate attributes. The composition of candidate attributes is firstly analyzed and subdivided into three types: non-attribute vocabularies, invalid attribute, and valid attribute. Secondly, the HowNet-based filtering strategy is presented which filters...
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