Skeletons and semantic web descriptions to integrate parallel programming into ontology learning frameworks

M. Arguello; R. Gacitua; J. Osborne; S. Peters; P. Ekin; P. Sawyer

doi:10.1109/UKSIM.2009.47

Skeletons and semantic web descriptions to integrate parallel programming into ontology learning frameworks

M. Arguello^*, R. Gacitua, J. Osborne, S. Peters, P. Ekin, P. Sawyer

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

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.

Original language	English
Title of host publication	11th International Conference on Computer Modelling and Simulation, UKSim 2009
Publisher	IEEE
Pages	640-645
Number of pages	6
ISBN (Print)	9780769535937
DOIs	https://doi.org/10.1109/UKSIM.2009.47
Publication status	Published - 9 Sept 2009
Event	11th International Conference on Computer Modelling and Simulation, UKSim 2009 - Cambridge, United Kingdom Duration: 25 Mar 2009 → 27 Mar 2009

Conference

Conference	11th International Conference on Computer Modelling and Simulation, UKSim 2009
Country/Territory	United Kingdom
City	Cambridge
Period	25/03/09 → 27/03/09

Access to Document

10.1109/UKSIM.2009.47

Cite this

@inproceedings{c7d23aec3a4b4694bdc61876d9f705cd,

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.",

author = "M. Arguello and R. Gacitua and J. Osborne and S. Peters and P. Ekin and P. Sawyer",

year = "2009",

month = sep,

day = "9",

doi = "10.1109/UKSIM.2009.47",

language = "English",

isbn = "9780769535937",

pages = "640--645",

booktitle = "11th International Conference on Computer Modelling and Simulation, UKSim 2009",

publisher = "IEEE",

address = "United States",

note = "11th International Conference on Computer Modelling and Simulation, UKSim 2009 ; Conference date: 25-03-2009 Through 27-03-2009",

}

Arguello, M, Gacitua, R, Osborne, J, Peters, S, Ekin, P & Sawyer, P 2009, Skeletons and semantic web descriptions to integrate parallel programming into ontology learning frameworks. in 11th International Conference on Computer Modelling and Simulation, UKSim 2009., 4809840, IEEE, pp. 640-645, 11th International Conference on Computer Modelling and Simulation, UKSim 2009, Cambridge, United Kingdom, 25/03/09. https://doi.org/10.1109/UKSIM.2009.47

TY - GEN

T1 - Skeletons and semantic web descriptions to integrate parallel programming into ontology learning frameworks

AU - Arguello, M.

AU - Gacitua, R.

AU - Osborne, J.

AU - Peters, S.

AU - Ekin, P.

AU - Sawyer, P.

PY - 2009/9/9

Y1 - 2009/9/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=69749122329&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/4809840?arnumber=4809840&tag=1

U2 - 10.1109/UKSIM.2009.47

DO - 10.1109/UKSIM.2009.47

M3 - Conference publication

AN - SCOPUS:69749122329

SN - 9780769535937

SP - 640

EP - 645

BT - 11th International Conference on Computer Modelling and Simulation, UKSim 2009

PB - IEEE

T2 - 11th International Conference on Computer Modelling and Simulation, UKSim 2009

Y2 - 25 March 2009 through 27 March 2009

ER -

Skeletons and semantic web descriptions to integrate parallel programming into ontology learning frameworks

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this