Overview on ontology mapping and approach

This paper begins with the concept of ontology and ontology mapping. On ground of the description of ontology, classification on similarity is given in this paper. They include the approaches based on syntax, instance, constraint, architecture and property relations. And the mapping approaches are a...

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Bibliographic Details
Published in2011 4th IEEE International Conference on Broadband Network and Multimedia Technology pp. 592 - 595
Main Authors Xiyin Liu, Lijun Cao, Wei Dai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Context
Learning systems
Machine learning
Ontologies
ontology mapping
Probability distribution
Semantics
similarity
sontology
Statistical analysis
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ISBN9781612841588
1612841589
DOI10.1109/ICBNMT.2011.6156003

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Summary:This paper begins with the concept of ontology and ontology mapping. On ground of the description of ontology, classification on similarity is given in this paper. They include the approaches based on syntax, instance, constraint, architecture and property relations. And the mapping approaches are also classified according to the mapping technique, such as approaches based on logic inference, statistic, machine learning, graph theory, information flow, modularization, fuzzy conceptual graph, risk decision and formal conceptual analysis. Meanwhile each approach is described briefly. The existing problems and prospect are proposed at last.
ISBN:9781612841588
1612841589
DOI:10.1109/ICBNMT.2011.6156003