by Sylvie Ranwez, Vincent Ranwez, Jean Villerd, Michel Crampes
Abstract:
Finding the right semantic distance to be used for information research, classification or text clustering using Natural Language Processing is a problem studied in several domains of computer science. We focus on measurements that are real distances: i.e. that satisfy all the properties of a distance. This paper presents one ISA-distance measurement that may be applied to taxonomies. This distance, combined with a distance based on relations other than ISA, may be a step towards a real semantic distance for ontologies. After presenting the purpose of this work and the position of our approach within the literature, we formally detail our ISA-distance. It is extended to other relations and used to obtain a MDS projection of a musical ontology in an industrial project. The utility of such a distance in visualization, navigation, information research and ontology engineering is underlined.
Reference:
Ontological Distance Measures for Information Visualisation on Conceptual Maps (Sylvie Ranwez, Vincent Ranwez, Jean Villerd, Michel Crampes), In Lecture notes in computer science, Springer, volume 4278/2006, 2006.
Bibtex Entry:
@article{Ranwez,
abstract = {Finding the right semantic distance to be used for information research, classification or text clustering using Natural Language Processing is a problem studied in several domains of computer science. We focus on measurements that are real distances: i.e. that satisfy all the properties of a distance. This paper presents one ISA-distance measurement that may be applied to taxonomies. This distance, combined with a distance based on relations other than ISA, may be a step towards a real semantic distance for ontologies. After presenting the purpose of this work and the position of our approach within the literature, we formally detail our ISA-distance. It is extended to other relations and used to obtain a MDS projection of a musical ontology in an industrial project. The utility of such a distance in visualization, navigation, information research and ontology engineering is underlined.},
annote = {
From Duplicate 1 (
Ontological Distance Measures for Information Visualisation on Conceptual Maps
- Ranwez, Sylvie; Ranwez, Vincent; Villerd, Jean; Crampes, Michel )
},
author = {Ranwez, Sylvie and Ranwez, Vincent and Villerd, Jean and Crampes, Michel},
isbn = {3-540-48269-5},
issn = {0302-9743},
journal = {Lecture notes in computer science},
keywords = {Acoustique musicale,Ac\'{u}stica musical,Analisis cluster,Analyse amas,Analyse contenu,An\'{a}lisis contenido,B\'{u}squeda informaci\'{o}n,Clasificaci\'{o}n,Classification,Cluster analysis,Content analysis,Data visualization,Distance measurement,Distributed system,Engineering information systems,Information measure,Information retrieval,Information use,Internet,Langage naturel,Language processing,Lenguaje natural,Medida informaci\'{o}n,Mesure distance,Mesure information,Musical acoustics,Natural language,Navegaci\'{o}n,Navigation,Ontologie,Ontology,Ontolog\'{\i}a,Recherche information,SML-LIB-BIBLIO,Semantics,Sem\'{a}ntica,Sistema repartido,Sistem\'{a}tica,Syst\`{e}me information ing\'{e}nierie,Syst\`{e}me r\'{e}parti,Syst\'{e}matique,S\'{e}mantique,Taxonomy,Text,Texte,Texto,Traitement langage,Tratamiento lenguaje,Uso informaci\'{o}n,Utilisation information,Visualisation donn\'{e}e,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
number = {On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops},
pages = {1050--1061},
publisher = {Springer},
title = {{Ontological Distance Measures for Information Visualisation on Conceptual Maps}},
volume = {4278/2006},
year = {2006}
}