This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Skeletons and Semantic Web Descriptions to Integrate Parallel Programming into Ontology Learning Frameworks
March 25-March 27
ISBN: 978-0-7695-3593-7
The current growth of biomedical knowledge is increasing the demand from the user community to automate the conversion of free text into a biomedical ontology. Thus ontology learning frameworks are gaining momentum as potential candidates to alleviate the current overload of biomedical information. Unfortunately the current problem at hand with these frameworks is scalability in terms of computing resources, processing power and the processing time required for biomedical experts and trained terminologists who use these frameworks. The current research study aims to tackle current difficulties in low-level parallel and distributed programming, e.g. the MPI standard, and probe the advantages for ontology learning frameworks in coupling high-level programming models together with formal semantic descriptions to enable a pay-back for the effort involved in skeleton-based parallel programming.
Index Terms:
Skeleton-based parallel programming, ontology learning frameworks, Natural Language Processing, Machine Learning, Semantic Web, ontologies, OWL, OWL-S
Citation:
M. Arguello, R. Gacitua, J. Osborne, S. Peters, P. Ekin, P. Sawyer, "Skeletons and Semantic Web Descriptions to Integrate Parallel Programming into Ontology Learning Frameworks," uksim, pp.640-645, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009
Usage of this product signifies your acceptance of the Terms of Use.