euzenat2015cContext-based matching finds correspondences between entities from two ontologies by relating them to other resources. A general view of context-based matching is designed by analysing existing such matchers. This view is instantiated in a path-driven approach that (a) anchors the ontologies to external ontologies, (b) finds sequences of entities (path) that relate entities to match within and across these resources, and (c) uses algebras of relations for combining the relations obtained along these paths. Parameters governing such a system are identified and made explicit. We discuss the extension of this approach to data interlinking and its benefit to cross-lingual data interlinking. First, this extension would require an hyb...
This article addresses a number of limitations of state-of-the-art methods of Ontology Alignment: 1)...
ACM Computing Classification System (1998): J.3.Automated and semi-automated mapping and the subsequ...
This article addresses a number of limitations of state-of-the-art methods of Ontology Alignment: 1)...
euzenat2015cContext-based matching finds correspondences between entities from two ontologies by rel...
locoro2014aInternational audienceContext-based matching finds correspondences between entities from ...
Abstract Context-based matching finds correspondences between entities from two ontologies by relati...
International audienceOntology matching and data interlinking as distinguished tasks aim at facilita...
Context-based matching finds correspondences between entities from two ontologies by relating them t...
fan2012aInternational audienceIt is a trend to publish RDF data on the web, so that users can share ...
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping ...
inants2015aInternational audienceAlgebras of relations were shown useful in managing ontology alignm...
Ontology matching is a challenging problem in many applications, and is a major issue for interopera...
The Linked Open Data (LOD) cloud is composed of data repositories. The data in the repositories are ...
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic...
Schema and ontology matching play an important part in the field of data integration and semantic we...
This article addresses a number of limitations of state-of-the-art methods of Ontology Alignment: 1)...
ACM Computing Classification System (1998): J.3.Automated and semi-automated mapping and the subsequ...
This article addresses a number of limitations of state-of-the-art methods of Ontology Alignment: 1)...
euzenat2015cContext-based matching finds correspondences between entities from two ontologies by rel...
locoro2014aInternational audienceContext-based matching finds correspondences between entities from ...
Abstract Context-based matching finds correspondences between entities from two ontologies by relati...
International audienceOntology matching and data interlinking as distinguished tasks aim at facilita...
Context-based matching finds correspondences between entities from two ontologies by relating them t...
fan2012aInternational audienceIt is a trend to publish RDF data on the web, so that users can share ...
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping ...
inants2015aInternational audienceAlgebras of relations were shown useful in managing ontology alignm...
Ontology matching is a challenging problem in many applications, and is a major issue for interopera...
The Linked Open Data (LOD) cloud is composed of data repositories. The data in the repositories are ...
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic...
Schema and ontology matching play an important part in the field of data integration and semantic we...
This article addresses a number of limitations of state-of-the-art methods of Ontology Alignment: 1)...
ACM Computing Classification System (1998): J.3.Automated and semi-automated mapping and the subsequ...
This article addresses a number of limitations of state-of-the-art methods of Ontology Alignment: 1)...