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Ontology Matching with CIDER: evaluation report for OAEI 2011
Cita
Gracia del Río, Jorge 
ORCID: https://orcid.org/0000-0001-6452-7627, Bernad Lusilla, Jordi ORCID: https://orcid.org/0000-0001-8531-353X and Mena Nieto, Eduardo ORCID: https://orcid.org/0000-0002-7462-0080
(2011).
Ontology Matching with CIDER: evaluation report for OAEI 2011.
En: "6th International Workshop on Ontology Matching (OM-2011) In conjunction with the International Semantic Web Conference (ISWC2011)", 24 Octubre 2011, Bonn, Germany. ISBN ISSN 1613-0073.
ORCID: https://orcid.org/0000-0001-6452-7627, Bernad Lusilla, Jordi ORCID: https://orcid.org/0000-0001-8531-353X and Mena Nieto, Eduardo ORCID: https://orcid.org/0000-0002-7462-0080
(2011).
Ontology Matching with CIDER: evaluation report for OAEI 2011.
En: "6th International Workshop on Ontology Matching (OM-2011) In conjunction with the International Semantic Web Conference (ISWC2011)", 24 Octubre 2011, Bonn, Germany. ISBN ISSN 1613-0073.
Descripción
| Título: | Ontology Matching with CIDER: evaluation report for OAEI 2011 |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 6th International Workshop on Ontology Matching (OM-2011) In conjunction with the International Semantic Web Conference (ISWC2011) |
| Fechas del Evento: | 24 Octubre 2011 |
| Lugar del Evento: | Bonn, Germany |
| Título del Libro: | Proceedings of the 6th International Workshop on Ontology Matching (OM-2011) |
| Fecha: | 2011 |
| ISBN: | ISSN 1613-0073 |
| Volumen: | 814 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | oeg, DynaLearn |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Grupo Investigación UPM: | Ontology Engineering Group – OEG |
| Licencias Creative Commons: | Ninguna |
Resumen
CIDER is a schema-based ontology alignment system. Its algorithm compares each pair of ontology terms by, firstly, extracting their ontological contexts up to a certain depth (enriched by using lightweight inference) and, secondly, combining different elementary ontology matching techniques. In its current version, CIDER uses artificial neural networks in order to combine such elementary matchers. In this paper we briefly describe CIDER and comment on its results at the Ontology Alignment Evaluation Initiative 2011 campaign (OAEI’11). In this new approach, the burden of manual selection of weights has been definitely eliminated, while preserving the performance with respect to CIDER’s previous participation in the benchmark track (at OAEI’08).
Más información
| ID de Registro: | 10293 |
|---|---|
| Identificador DC: | https://oa.upm.es/10293/ |
| Identificador OAI: | oai:oa.upm.es:10293 |
| URL Oficial: | http://ceur-ws.org/Vol-814/ |
| Depositado por: | Dr Oscar Corcho |
| Depositado el: | 13 Feb 2012 11:10 |
| Ultima Modificación: | 09 Jul 2025 09:55 |
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