Name
Title | ||
|---|---|---|
Skeletons and Semantic Web Descriptions to Integrate Parallel Programming into Ontology Learning Frameworks |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/UKSIM.2009.47 | Cambridge |
Keywords | Field | DocType |
biomedical ontology,biomedical information,semantic web descriptions,current research study,current problem,parallel programming,biomedical knowledge,current overload,current growth,ontology learning frameworks,biomedical expert,current difficulty,coupling high-level programming model,distributed programming,programming model,learning artificial intelligence,owl,atomic clocks,programming,process control,ontologies,data mining,natural language processing,semantic web,algorithm design and analysis,owl s,statistical analysis,formal semantics,skeleton,machine learning | Ontology (information science),Ontology,Algorithm design,Programming paradigm,Computer science,Parallel computing,Semantic Web,OWL-S,Ontology learning,Scalability | Conference |
ISSN | ISBN | Citations |
2381-4772 | 978-0-7695-3593-7 | 0 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Arguello | 1 | 0 | 1.01 |
| R. Gacitua | 2 | 0 | 0.34 |
| J. Osborne | 3 | 0 | 0.34 |
| S. Peters | 4 | 0 | 0.34 |
| P. Ekin | 5 | 0 | 0.34 |
| Peter Sawyer | 6 | 1633 | 104.91 |