نتایج جستجو برای: ontology matching
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Ontology matching consists of finding correspondences between ontology entities. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. Test cases can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modalities, e.g., blind evaluation, open evaluation, consensus. OAEI-2009 builds over previous campaig...
In this paper we provide empirical evidence of the necessity of integrating mapping repair techniques within the ontology matching process, an aspect that is neglected in many ontology matching systems. We also evaluate the feasibility of using state-of-the-art mapping repair techniques in practice, such as those implemented in Alcomo and LogMap. A preliminary evaluation was conducted in the co...
Ontology matching consists of generating a set of correspondences between the entities of two ontologies. This process is seen as a solution to data heterogeneity in ontology-based applications, enabling the interoperability between them. However, existing matching systems are designed by assuming that the entities of both source and target ontologies are written in the same languages ( English...
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic in some classical data integration tasks. It takes the ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging and dat...
Ontology matching is the task of finding correspondences between semantically related entities in different ontologies, which is a key solution to the semantic heterogeneity problem. Recently, several supervised learning approaches for ontology matching have been proposed, which outperform traditional unsupervised approaches. The existing learning based approaches treat the similarity values of...
Ontology Matching is nowadays a vivid area of Computer Science. There are several OM tools looking for correspondences between entities of ontologies. These correspondences are usual simple equivalence mapping pairs classto-class or property-to-property. In our work we concentrate on diverse kinds of semantic structures in ontologies in terms of their detection and mutual matching. For this kin...
AgreementMakerLight (AML) is an automated ontology matching framework based on element-level matching and the use of external resources as background knowledge. This paper describes the configuration of AML for the OAEI 2013 competition and discusses its results. Being a newly developed and still incomplete system, our focus in this year’s OAEI were the anatomy and large biomedical ontologies t...
Crop specific ontologies for phenotype annotations in breeding have proliferated over the last 10 years. Across-crop data interoperability involves linking those ontologies together. For this purpose, the Planteome project is mapping the Crop Ontology traits (www.cropontology.org) to the reference ontology for plant traits, Trait Ontology (TO). Manual mapping is timeconsuming and not sustainabl...
Ontology matching is an important task to achieve interoperation between semantic web applications using different ontologies. Structural similarity plays a central role in ontology matching. However, the existing approaches rely heavily on lexical similarity, and they mix up lexical similarity with structural similarity. In this paper, we present a graph matching approach for ontologies, calle...
Thought interoperability has been gaining in importance and become an essential issue within the Semantic Web community, the main challenge of interoperability and data integration is still ontology matching. With this in mind, we wish to contribute to the enhancement of (semantic) interoperability by supporting the ontology matching issue; we propose an evaluation framework for matching approa...
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