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ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

ONTOLOGY MATCHING STATE OF THE ART AND FUTURE CHALLENGES
ABSTRACT:

After years of research on ontology matching, it is reasonable to consider several questions: is
the field of ontology matching still making progress? Is this progress significant enough to
pursue further research? If so, what are the particularly promising directions? To answer these
questions, we review the state of the art of ontology matching and analyze the results of recent
ontology matching evaluations.

These results show a measurable improvement in the field, the speed of which is albeit slowing
down. We conjecture that significant improvements can be obtained only by addressing
important challenges for ontology matching. We present such challenges with insights on how to
approach them, thereby aiming to direct research into the most promising tracks and to facilitate
the progress of the field.

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Dotnet ontology matching state of the art and future challenges

  • 1. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com ONTOLOGY MATCHING STATE OF THE ART AND FUTURE CHALLENGES ABSTRACT: After years of research on ontology matching, it is reasonable to consider several questions: is the field of ontology matching still making progress? Is this progress significant enough to pursue further research? If so, what are the particularly promising directions? To answer these questions, we review the state of the art of ontology matching and analyze the results of recent ontology matching evaluations. These results show a measurable improvement in the field, the speed of which is albeit slowing down. We conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching. We present such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field.