Data driven ontology evaluation

Christopher Brewster; Harith Alani; Srinandan Dasmahapatra; Yorick Wilks

Data driven ontology evaluation

Christopher Brewster, Harith Alani, Srinandan Dasmahapatra, Yorick Wilks

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

Abstract

The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of the ‘fit’ between an ontology and a domain of knowledge. We consider a number of methods for measuring this ‘fit’ and propose a measure to evaluate structural fit, and a probabilistic approach to identifying the best ontology.

Original language	English
Title of host publication	[LREC 2004 Proceedings]
Pages	641-644
Number of pages	4
Publication status	Published - 2004
Event	4th International Conference on Language Resources and Evaluation - Lisbon , Portugal Duration: 24 May 2004 → 30 May 2004

Conference

Conference	4th International Conference on Language Resources and Evaluation
Country/Territory	Portugal
City	Lisbon
Period	24/05/04 → 30/05/04

Keywords

evaluation
ontologies
Semantic Web
knowledge artifact
ontology
ontology evaluation

Cite this

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title = "Data driven ontology evaluation",

abstract = "The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of the {\textquoteleft}fit{\textquoteright} between an ontology and a domain of knowledge. We consider a number of methods for measuring this {\textquoteleft}fit{\textquoteright} and propose a measure to evaluate structural fit, and a probabilistic approach to identifying the best ontology.",

keywords = "evaluation, ontologies, Semantic Web, knowledge artifact, ontology, ontology evaluation",

author = "Christopher Brewster and Harith Alani and Srinandan Dasmahapatra and Yorick Wilks",

year = "2004",

language = "English",

pages = "641--644",

booktitle = "[LREC 2004 Proceedings]",

note = "4th International Conference on Language Resources and Evaluation ; Conference date: 24-05-2004 Through 30-05-2004",

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TY - CHAP

T1 - Data driven ontology evaluation

AU - Brewster, Christopher

AU - Alani, Harith

AU - Dasmahapatra, Srinandan

AU - Wilks, Yorick

PY - 2004

Y1 - 2004

N2 - The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of the ‘fit’ between an ontology and a domain of knowledge. We consider a number of methods for measuring this ‘fit’ and propose a measure to evaluate structural fit, and a probabilistic approach to identifying the best ontology.

AB - The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of the ‘fit’ between an ontology and a domain of knowledge. We consider a number of methods for measuring this ‘fit’ and propose a measure to evaluate structural fit, and a probabilistic approach to identifying the best ontology.

KW - evaluation

KW - ontologies

KW - Semantic Web

KW - knowledge artifact

KW - ontology

KW - ontology evaluation

UR - http://www.lrec-conf.org/proceedings/lrec2004/

M3 - Chapter

SP - 641

EP - 644

BT - [LREC 2004 Proceedings]

T2 - 4th International Conference on Language Resources and Evaluation

Y2 - 24 May 2004 through 30 May 2004

ER -

Data driven ontology evaluation

Abstract

Conference

Keywords

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Cite this