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Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Published

Standard

Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques. / Gacitua, Ricardo; Sawyer, Pete; Piao, S. et al.
2007. 561-567 Paper presented at Proceedings of the UK e-Science All Hands Conference 2007, Nottingham, UK.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Gacitua, R, Sawyer, P, Piao, S & Rayson, P 2007, 'Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques', Paper presented at Proceedings of the UK e-Science All Hands Conference 2007, Nottingham, UK, 10/09/07 - 13/09/07 pp. 561-567.

APA

Gacitua, R., Sawyer, P., Piao, S., & Rayson, P. (2007). Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques. 561-567. Paper presented at Proceedings of the UK e-Science All Hands Conference 2007, Nottingham, UK.

Vancouver

Gacitua R, Sawyer P, Piao S, Rayson P. Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques. 2007. Paper presented at Proceedings of the UK e-Science All Hands Conference 2007, Nottingham, UK.

Author

Gacitua, Ricardo ; Sawyer, Pete ; Piao, S. et al. / Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques. Paper presented at Proceedings of the UK e-Science All Hands Conference 2007, Nottingham, UK.7 p.

Bibtex

@conference{27a6e468e04645bab9535cd841d00bec,
title = "Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques",
abstract = "Since the manual construction of ontologies is time-consuming and expensive, an increasing number of initiatives to ease the construction by automatic or semi-automatic means have been published. Most initiatives combine a certain level of NLP techniques with machine learning approaches to find concepts and relationships. However, a challenging issue is to quantitatively evaluate the usefulness or accuracy of the techniques and combinations of techniques when applied to ontology learning. We are developing a framework for acquiring an ontology from a large collection of domain texts. This framework provides support for evaluating different NLP and machine learning techniques when they are applied to ontology learning. Our initial experiment supports our assumptions on the usefulness of our approach.",
keywords = "cs_eprint_id, 1470 cs_uid, 386",
author = "Ricardo Gacitua and Pete Sawyer and S. Piao and P. Rayson",
year = "2007",
language = "English",
pages = "561--567",
note = "Proceedings of the UK e-Science All Hands Conference 2007 ; Conference date: 10-09-2007 Through 13-09-2007",

}

RIS

TY - CONF

T1 - Ontology Acquisition Process: A Framework for Experimenting with Different NLP Techniques

AU - Gacitua, Ricardo

AU - Sawyer, Pete

AU - Piao, S.

AU - Rayson, P.

PY - 2007

Y1 - 2007

N2 - Since the manual construction of ontologies is time-consuming and expensive, an increasing number of initiatives to ease the construction by automatic or semi-automatic means have been published. Most initiatives combine a certain level of NLP techniques with machine learning approaches to find concepts and relationships. However, a challenging issue is to quantitatively evaluate the usefulness or accuracy of the techniques and combinations of techniques when applied to ontology learning. We are developing a framework for acquiring an ontology from a large collection of domain texts. This framework provides support for evaluating different NLP and machine learning techniques when they are applied to ontology learning. Our initial experiment supports our assumptions on the usefulness of our approach.

AB - Since the manual construction of ontologies is time-consuming and expensive, an increasing number of initiatives to ease the construction by automatic or semi-automatic means have been published. Most initiatives combine a certain level of NLP techniques with machine learning approaches to find concepts and relationships. However, a challenging issue is to quantitatively evaluate the usefulness or accuracy of the techniques and combinations of techniques when applied to ontology learning. We are developing a framework for acquiring an ontology from a large collection of domain texts. This framework provides support for evaluating different NLP and machine learning techniques when they are applied to ontology learning. Our initial experiment supports our assumptions on the usefulness of our approach.

KW - cs_eprint_id

KW - 1470 cs_uid

KW - 386

M3 - Conference paper

SP - 561

EP - 567

T2 - Proceedings of the UK e-Science All Hands Conference 2007

Y2 - 10 September 2007 through 13 September 2007

ER -