Autor segons l'article: Sanchez, David; Batet, Montserrat
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Batet Sanromà, Montserrat / Sánchez Ruenes, David
Paraules clau: Semantic similarity estimation Semantic similarity Semantic similarit Semantic knowledge Relatednes Ontologies Knowledge management Information content Computational linguistics
Resum: The Information Content (IC) of a concept quantifies the amount of information it provides when appearing in a context. In the past, IC used to be computed as a function of concept appearance probabilities in corpora, but corpora-dependency and data sparseness hampered results. Recently, some other authors tried to overcome previous approaches, estimating IC from the knowledge modeled in an ontology. In this paper, the authors develop this idea, by proposing a new model to compute the IC of a concept exploiting the taxonomic knowledge modeled in an ontology. In comparison with related works, their proposal aims to better capture semantic evidences found in the ontology. To test the authors' approach, they have applied it to well-known semantic similarity measures, which were evaluated using standard benchmarks. Results show that the use of the authors' model produces, in most cases, more accurate similarity estimations than related works.
Àrees temàtiques: Social statistics and informatics Science and technology studies Planejamento urbano e regional / demografia Pedagogical & educational research Linguistics Library and information science Interdisciplinary research in the social sciences Interdisciplinary research in the humanities Information systems Computer science, information systems Computer science, artificial intelligence Computer networks and communications Ciencias sociales Ciencias humanas Business and management
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: montserrat.batet@urv.cat david.sanchez@urv.cat
Identificador de l'autor: 0000-0001-8174-7592 0000-0001-7275-7887
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
Enllaç font original: https://www.igi-global.com/article/new-model-compute-information-content/70742
Referència a l'article segons font original: International Journal On Semantic Web And Information Systems. 8 (2): 34-50
Referència de l'ítem segons les normes APA: Sanchez, David; Batet, Montserrat (2012). A New Model to Compute the Information Content of Concepts from Taxonomic Knowledge. International Journal On Semantic Web And Information Systems, 8(2), 34-50. DOI: 10.4018/jswis.2012040102
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.4018/jswis.2012040102
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2012
Tipus de publicació: Journal Publications