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A Composite Approach for Ontology Mapping

Authors: Ying Wang; Jianbin Gong; Zhe Wang 0007; Chunguang Zhou;

A Composite Approach for Ontology Mapping

Abstract

Ontology mapping is one of the important problems for the development of Semantic Web. Establishing such mappings has been the focus of a variety of research originating from diverse communities. In this paper, we propose a Composite Approach for Ontology Mapping (ACAOM) for semi-automatic ontology mapping based on the combination of the name and instance methods. We conclude that the combination is a promising method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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