Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques

R. Gacitua, Peter Sawyer

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Most approaches to ontology learning combine techniques from different areas (hybrid approaches) to increase the efficiency of the ontology learning process. However, the results from the ontology learning process do not fully satisfy the users at present. In this context, an important problem is that there is a lack of quantitative and comparative data about the efficiency of techniques and technique combinations applied to ontology learning. Combination methods are an effective way of improving system performance, but there is not enough information about how to use, configure and combine techniques from a diverse spectrum of fields, and what the contribution of a specific technique or technique combination is. In this paper we present a quantitative comparison of technique combinations for concept extraction and a software system (OntoLancs) to support the evaluation of techniques. By applying OntoLancs, users are able to assist the process of building ontologies by semi-automatically acquiring concepts from large-scale domain document collections and experiment with different combinations of knowledge acquisition techniques to refine and organize domain concepts into a taxonomy. Quantitative and comparative studies about the performance of several techniques and user experiences indicate the applicability and usefulness of our approach.
Original languageEnglish
Title of host publicationSeventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.
Pages328-333
Number of pages6
DOIs
Publication statusPublished - 14 May 2008

Fingerprint

Ontology
Experiments
Knowledge acquisition
Taxonomies

Cite this

Gacitua, R., & Sawyer, P. (2008). Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques. In Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08. (pp. 328-333) https://doi.org/10.1109/ICIS.2008.94
Gacitua, R. ; Sawyer, Peter. / Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques. Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.. 2008. pp. 328-333
@inbook{12ceddebeaf14c4486348825f6683664,
title = "Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques",
abstract = "Most approaches to ontology learning combine techniques from different areas (hybrid approaches) to increase the efficiency of the ontology learning process. However, the results from the ontology learning process do not fully satisfy the users at present. In this context, an important problem is that there is a lack of quantitative and comparative data about the efficiency of techniques and technique combinations applied to ontology learning. Combination methods are an effective way of improving system performance, but there is not enough information about how to use, configure and combine techniques from a diverse spectrum of fields, and what the contribution of a specific technique or technique combination is. In this paper we present a quantitative comparison of technique combinations for concept extraction and a software system (OntoLancs) to support the evaluation of techniques. By applying OntoLancs, users are able to assist the process of building ontologies by semi-automatically acquiring concepts from large-scale domain document collections and experiment with different combinations of knowledge acquisition techniques to refine and organize domain concepts into a taxonomy. Quantitative and comparative studies about the performance of several techniques and user experiences indicate the applicability and usefulness of our approach.",
author = "R. Gacitua and Peter Sawyer",
year = "2008",
month = "5",
day = "14",
doi = "10.1109/ICIS.2008.94",
language = "English",
isbn = "978-0-7695-3131-1",
pages = "328--333",
booktitle = "Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.",

}

Gacitua, R & Sawyer, P 2008, Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques. in Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.. pp. 328-333. https://doi.org/10.1109/ICIS.2008.94

Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques. / Gacitua, R.; Sawyer, Peter.

Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.. 2008. p. 328-333.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques

AU - Gacitua, R.

AU - Sawyer, Peter

PY - 2008/5/14

Y1 - 2008/5/14

N2 - Most approaches to ontology learning combine techniques from different areas (hybrid approaches) to increase the efficiency of the ontology learning process. However, the results from the ontology learning process do not fully satisfy the users at present. In this context, an important problem is that there is a lack of quantitative and comparative data about the efficiency of techniques and technique combinations applied to ontology learning. Combination methods are an effective way of improving system performance, but there is not enough information about how to use, configure and combine techniques from a diverse spectrum of fields, and what the contribution of a specific technique or technique combination is. In this paper we present a quantitative comparison of technique combinations for concept extraction and a software system (OntoLancs) to support the evaluation of techniques. By applying OntoLancs, users are able to assist the process of building ontologies by semi-automatically acquiring concepts from large-scale domain document collections and experiment with different combinations of knowledge acquisition techniques to refine and organize domain concepts into a taxonomy. Quantitative and comparative studies about the performance of several techniques and user experiences indicate the applicability and usefulness of our approach.

AB - Most approaches to ontology learning combine techniques from different areas (hybrid approaches) to increase the efficiency of the ontology learning process. However, the results from the ontology learning process do not fully satisfy the users at present. In this context, an important problem is that there is a lack of quantitative and comparative data about the efficiency of techniques and technique combinations applied to ontology learning. Combination methods are an effective way of improving system performance, but there is not enough information about how to use, configure and combine techniques from a diverse spectrum of fields, and what the contribution of a specific technique or technique combination is. In this paper we present a quantitative comparison of technique combinations for concept extraction and a software system (OntoLancs) to support the evaluation of techniques. By applying OntoLancs, users are able to assist the process of building ontologies by semi-automatically acquiring concepts from large-scale domain document collections and experiment with different combinations of knowledge acquisition techniques to refine and organize domain concepts into a taxonomy. Quantitative and comparative studies about the performance of several techniques and user experiences indicate the applicability and usefulness of our approach.

UR - https://ieeexplore.ieee.org/document/4529841/

U2 - 10.1109/ICIS.2008.94

DO - 10.1109/ICIS.2008.94

M3 - Chapter

SN - 978-0-7695-3131-1

SP - 328

EP - 333

BT - Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.

ER -

Gacitua R, Sawyer P. Ensemble Methods for Ontology Learning - An Empirical Experiment To Evaluate Combinations Of Concept Acquisition Techniques. In Seventh IEEE/ACIS International Conference on Computer and Information Science, 2008. ICIS 08.. 2008. p. 328-333 https://doi.org/10.1109/ICIS.2008.94