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Effective Ontology Matching in High-Performance Computing Environments

Effective Ontology Matching in High-Performance Computing Environments
Effective Ontology Matching in High-Performance Computing Environments
Extending complex information structures by means of ontology matching is of high interest for a number of tasks solved in the semantic web. The main motivation behind this work is that the procedure of ontology matching requires a robust and scalable solution that ensures the maximal efficiency of matching operations. That is especially important when thinking of matching large scale data among several ontologies, where the performance and scalability of performing the matching algorithms is settled to the point. In this paper, we propose an approach for distributed ontology matching, improving the matching’s efficiency and scalability due to the distribution and parallelization of implemented algorithms. This enables applications performing ontology matching to get benefit of running in high-performance computing environments and ensures that the full potential of computing resources is enabled for the matching process.
Tenschert, Axel
54f0eddb-18da-48bd-8512-034ac7d76e71
Cheptsov, Alexey
3aa56ba2-3ee2-4695-a18c-d81338790c02
Tenschert, Axel
54f0eddb-18da-48bd-8512-034ac7d76e71
Cheptsov, Alexey
3aa56ba2-3ee2-4695-a18c-d81338790c02

Tenschert, Axel and Cheptsov, Alexey (2009) Effective Ontology Matching in High-Performance Computing Environments. 1st International Workshop on Semantic Web Applications for Learning and Teaching Support in Higher Education (SemHE'09), France.

Record type: Conference or Workshop Item (Poster)

Abstract

Extending complex information structures by means of ontology matching is of high interest for a number of tasks solved in the semantic web. The main motivation behind this work is that the procedure of ontology matching requires a robust and scalable solution that ensures the maximal efficiency of matching operations. That is especially important when thinking of matching large scale data among several ontologies, where the performance and scalability of performing the matching algorithms is settled to the point. In this paper, we propose an approach for distributed ontology matching, improving the matching’s efficiency and scalability due to the distribution and parallelization of implemented algorithms. This enables applications performing ontology matching to get benefit of running in high-performance computing environments and ensures that the full potential of computing resources is enabled for the matching process.

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More information

Published date: 30 September 2009
Additional Information: Event Dates: 30 September 2009
Venue - Dates: 1st International Workshop on Semantic Web Applications for Learning and Teaching Support in Higher Education (SemHE'09), France, 2009-09-30
Organisations: Electronics & Computer Science

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Local EPrints ID: 268056
URI: https://eprints.soton.ac.uk/id/eprint/268056
PURE UUID: 9c844f4e-32f7-457f-b57b-ec81d8c6f38c

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Date deposited: 14 Oct 2009 15:13
Last modified: 18 Jul 2017 06:57

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