poster

Quality problem identification in automatically constructedontologies

Authors:

Toader Gherasim,

Giuseppe Berio,

Mounira Harzallah,

Pascale KuntzAuthors Info & Claims

K-CAP '13: Proceedings of the seventh international conference on Knowledge capture

Pages 137 - 138

https://doi.org/10.1145/2479832.2479836

Published: 23 June 2013 Publication History

Get Access

Abstract

The validation of ontology quality is still a challenging task and is becoming even more so whenever ontologies are automaticall built. In previous works, we proposed a quite large classification of quality problems that need to be carefully analyzed for accomplishing the validation task. In this communication, we are going to identify the links between potential quality problems and the steps required to build an ontology. These problems result in what we call the "suboptimal executions" of those steps.

References

[1]

T. Gherasim, M. Harzallah, G. Berio, and P. Kuntz. Methods and tools for automatic construction of ontologies from textual resources: A framework for comparison and its application. In Advances in Knowledge Discovery and Management, volume 471, pages 177--201. Springer, 2013.

Crossref

Google Scholar

[2]

A. Gomez-Perez, M. Fernandez-Lopez, and O. Corcho. Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. Adv. Inf. and Know. Processing. Springer, 2001.

Digital Library

Google Scholar

[3]

M. Poveda, M. Suarez-Figueroa, and A. Gomez-Perez. A double classification of common pitfalls in ontologies. In Proc. of the Workshop on Ontology Quality at EKAW 2010, pages 1--12, 2010.

Google Scholar

[4]

C. Roussey, O. Corcho, and L. V. Blazquez. A catalogue of owl ontology antipatterns. In Proc. of the 5th Int. Conf. on Knowledge Capture (K-CAP 2009), pages 205--206, 2009.

Digital Library

Google Scholar

Index Terms

Quality problem identification in automatically constructedontologies
1. General and reference
  1. Document types

Recommendations

Identification in E-Participation: Between Quality of Identification Data and Participation Threshold
Electronic Participation
Abstract
E-participation projects have to consider a low participation threshold while maintaining security and data quality standards. While users often perceive complex regulations and logins as hurdles for participation, providers of solutions want to ...
An Ontology for Quality Management — Enabling Quality Problem Identification and Tracing

The TOVE Quality Ontology-VB is the formal representation (using First-order Logic) of terms, relationships, attributes, and axioms about quality which are generic beyond any specific quality domain. The assumption that quality is 'conformance to ...
Using SPARQL to query bioportal ontologies and metadata
ISWC'12: Proceedings of the 11th international conference on The Semantic Web - Volume Part II

BioPortal is a repository of biomedical ontologies--the largest such repository, with more than 300 ontologies to date. This set includes ontologies that were developed in OWL, OBO and other languages, as well as a large number of medical terminologies ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

K-CAP '13: Proceedings of the seventh international conference on Knowledge capture

June 2013

160 pages

ISBN:9781450321020

DOI:10.1145/2479832

General Chair:
Richard Benjamins
Telefonica Digital
,
Program Chairs:
Mathieu d'Aquin
KMi, The Open University
,
Andrew Gordon
University of Southern California

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 2013

Check for updates

Author Tags

Qualifiers

Poster

Conference

K-CAP 2013

Sponsor:

SIGAI

K-CAP 2013: Knowledge Capture Conference

June 23 - 26, 2013

Banff, Canada

Acceptance Rates

K-CAP '13 Paper Acceptance Rate 13 of 60 submissions, 22%;

Overall Acceptance Rate 55 of 198 submissions, 28%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
74
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Nov 2024

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Index Terms

Recommendations

Identification in E-Participation: Between Quality of Identification Data and Participation Threshold

An Ontology for Quality Management — Enabling Quality Problem Identification and Tracing

Using SPARQL to query bioportal ontologies and metadata