Intranet Tools

nb. next round of REF2013 will NOT be using data from eprints.ecs, but the central university REF interface.

RSS 1.0 Feed
RSS 2.0 Feed
Atom Feed
 

Effective Ontology Matching in High-Performance Computing Environments

Tenschert, A. and Cheptsov, A. (2009) Effective Ontology Matching in High-Performance Computing Environments. In: 1st International Workshop on Semantic Web Applications for Learning and Teaching Support in Higher Education (SemHE'09), 30 September 2009, ECTEL'09, Nice, France.

Download

[img]
Preview
PDF
276Kb

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.

Item Type:Conference or Workshop Item
Creator/Authors:
Axel Tenschert
Alexey Cheptsov
Research Group:Old ECS Groups > Learning Societies Lab
Date:30 September 2009
Information about this record:
Citations:
Downloads (2010):27
ID Code:18056
Last Modified:23 Sep 2011 10:38
Deposited On:14 Oct 2009 15:13 by Tiropanis, Thanassis

Tools & Metadata

Download Statistics

Last month

Last year

Members of ECS may view the download statistics dashboard for this record.

Corrections

ECS staff and postgraduates may modify this record

  Welcome from Deputy Head of School (Research) Research Prospectus Industrial Partnerships New Research Students Notes for Guidance New Research Students Notes for Guidance
The ECS EPrints Repository supports OAI 2.0 with a base URL of http://eprints.ecs.soton.ac.uk/cgi/oai2

EPrints is free software developed by the University of Southampton to facilitate Open Access to research.
EPrints