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نمایش تعداد 1-10 از 20
Inconsistency Repair to Improve the Performace of Ontology Matchers
Ontology inconsistency is one of the most important topics in the field of ontology matching. Until now many matchers are introduced but most of them suffer from inconsistencies. Many of the ontology matching tools have severe problems with respect...
Using Pattern Detection Techniques and Refactoring to Improve the Performance of ASMOV
One of the most important challenges in semantic Web is ontology matching. Ontology matching is a technology that enables semantic interoperability between structurally and semantically heterogeneous resources on the Web. Despite serious research...
Adding a Pre processing Phase to ASMOV for Improving the Alignment Result
Ontology matching is one of the most important challenges in the semantic web. It is a technique which is used to find the semantic correspondences between entities which are modeled in different ontologies. Despite many research efforts in ontology...
The Impact of Refactoring Based on Naming Pattern Detection on RiMOM Result
interoperability
between structurally and semantically heterogeneous resources
on the Web. There are several ontology matching tools seeking
semantic correspondences between entities belonging to
different ontologies. The aim...
Using Pattern Detection Techniques and Refactoring to Improve the Performance of ASMOV
One of the most important challenges in semantic Web is ontology matching. Ontology matching is a technology that enables semantic interoperability between structurally and semantically heterogeneous resources on the Web. Despite serious research...
Pre-processing ontologies to improve the results of matchers
Ontology matching is one of the most important topics in many fields of semantic web
research. The focus of ontology matching is on discovering semantic correspondence between
entities of differently modelled ontologies of the same...