• State-of-the-art on mapping ma...

Result: State-of-the-art on mapping maintenance and challenges towards a fully automatic approach

Title:
State-of-the-art on mapping maintenance and challenges towards a fully automatic approach
Authors:
DOS REIS, Julio Cesar, PRUSKI, Cédric, REYNAUD-DELAITRE, Chantal
Source:
Expert systems with applications. 42(3):1465-1478
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Intelligence artificielle, Artificial intelligence, Base de connaissances, Knowledge base, Base conocimiento, Base de données, Database, Base dato, Correspondance ontologie, Ontology mapping, Correspondencia ontología, Gestion des connaissances, Knowledge management, Gestión conocimiento, Indice aptitude, Capability index, Indice aptitud, Informatique gestion, Management data processing, Informática gestión, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Intégration information, Information integration, Integración información, Maintenance, Mantenimiento, Ontologie, Ontology, Ontología, Pertinence, Relevance, Pertinencia, Représentation connaissance, Knowledge representation, Representación conocimientos, Systématique, Taxonomy, Sistemática, Sémantique, Semantics, Semántica, Thesaurus, Tesaurus, Ingénierie connaissances, Knowledge engineering, Ingeniería del conocimiento, Mapping adaptation, Mapping evolution, Mapping maintenance, Ontology alignment, Ontology evolution
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Public Research Centre Henri Tudor, 6 avenue des Hauts-fourneaux, 4362 Esch-sur-Alzette, Luxembourg
LRI, University of Paris-Sud, Bât 650, 91405 Orsay, France
ISSN:
0957-4174
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28928467
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.28928467
Database:
PASCAL Archive

Further Information

In several domains, software applications have intensively used Knowledge Organization Systems (KOS) like database schemas, ontologies, taxonomies and thesauri and their associated semantic correspondences (i.e., mappings). This underlines the relevance and capabilities of KOS and mappings to manage and integrate vast amounts of data. However, the dynamic nature of domain knowledge forces knowledge engineers to constantly modify KOS, to keep them up to date and useful. In this context, the maintenance of mappings affected by KOS evolution still remains an open research issue. Although this problem appears relevant for many different computer science fields, ranging from database to artificial intelligence, literature has so far only superficially addressed it to enable more flexible, automatic and precise solutions. This article presents, discusses and compares existing approaches for maintaining mappings and describes open research challenges.