Paper Info
Title
OntoEnrich: A Platform for the Lexical Analysis of Ontologies.
Abstract
The content of the labels in ontologies is usually considered hidden semantics, because the domain knowledge of such labels is not available as logical axioms in the ontology. The use of systematic naming conventions as best practice for the design of the content of the labels generates labels with structural regularities, namely, lexical regularities. The structure and content of such regularities can help ontology engineers to increase the amount of machine-friendly content in ontologies, that is, to increase the number of logical axioms. In this paper we present a web platform based on the OntoEnrich framework, which detects and analyzes lexical regularities, providing a series of useful insights about the structure and content of the labels, which can be helpful for the study of the engineering of the ontologies and their axiomatic enrichment. Here, we describe its software architecture, and how it can be used for analyzing the labels of ontologies, which will be illustrated with some examples from our research studies.
Year
DOI
Venue
2014
10.1007/978-3-319-17966-7_25
Lecture Notes in Artificial Intelligence
Field
DocType
Volume
Ontology (information science),Ontology engineering,Ontology,Best practice,Domain knowledge,Computer science,Axiom,Natural language processing,Artificial intelligence,Lexical analysis,Semantics
Conference
8982
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Manuel Quesada-Martínez1186.15
Jesualdo Tomás Fernández-breis258856.98
Robert Stevens35538499.01
Nathalie Aussenac-Gilles431441.25