Modular Ontologies Composition: Levenshtein-Distance-Based Concepts Structure Comparison

Modular Ontologies Composition: Levenshtein-Distance-Based Concepts Structure Comparison

Hanen Abbes, Faïez Gargouri
Copyright: © 2018 |Pages: 26
DOI: 10.4018/IJITWE.2018100103
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

This article describes how a modular ontology is a set of interconnected ontology modules. Modularity is a key requirement for collaborative ontology engineering and for distributed ontology reuse on the Web. Combining ontology modules in this context to get a global ontology is an important issue since it requires to resolves mismatches between the compared concepts. This article proposes a novel approach to automatically compose ontology modules. The proposed approach is based on concept structure comparison. The algorithm allowing to merge the ontology modules into a global ontology is detailed and similarity measures are explained. Similarity measures are computed against concept names, attributes and relationships. Experiments performed to test this algorithm are described and evaluation results are equally discussed.
Article Preview
Top

2. Research Context

This work joins within the scope of a Big Data integration approach (Abbes & Gargouri, 2016a) such that the departure corpus is formed by Big Data, whereas the target schema is OWL (Ontology Web Language) (Owl, n.d.) ontology. The OWL language is chosen as the ontology representation language since it is the standard recommended by the World Wide Web Consortium (W3C) (W3C, n.d.) to represent ontologies. We are interested particularly to OWL-DL (Owl-dl, n.d.) since it supports the maximum expressiveness while retaining computational completeness and decidability.

Complete Article List

Search this Journal:
Reset
Volume 19: 1 Issue (2024)
Volume 18: 1 Issue (2023)
Volume 17: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 16: 4 Issues (2021)
Volume 15: 4 Issues (2020)
Volume 14: 4 Issues (2019)
Volume 13: 4 Issues (2018)
Volume 12: 4 Issues (2017)
Volume 11: 4 Issues (2016)
Volume 10: 4 Issues (2015)
Volume 9: 4 Issues (2014)
Volume 8: 4 Issues (2013)
Volume 7: 4 Issues (2012)
Volume 6: 4 Issues (2011)
Volume 5: 4 Issues (2010)
Volume 4: 4 Issues (2009)
Volume 3: 4 Issues (2008)
Volume 2: 4 Issues (2007)
Volume 1: 4 Issues (2006)
View Complete Journal Contents Listing