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Ontology matching consists of finding correspondences between entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. Test cases can use ontologies of different nature (from simple directories to expressive OWL ontologies) and use different modalities, e.g., blind evaluation, open evaluation,(More)
Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple directories to expressive OWL ontologies) and use different modalities, e.g., blind(More)
Social Semantic Web aims at combining approaches and technologies from both Social and Semantic Web. While Social Web sites provide a rich source of unstructured information, what makes its automatic processing very limited, Semantic Web aims at giving a well-defined meaning to the Web information, facilitating its sharing and processing. Multilinguality is(More)
Within open, distributed and dynamic environments, agents frequently encounter and communicate with new agents and services that were previously unknown. However, to overcome the ontological heterogeneity which may exist within such environments, agents first need to reach agreement over the vocabulary and underlying conceptualisation of the shared domain,(More)
In this paper we present a methodology for building comparable corpus, using multilingual ontologies of a scpecific domain. This resource can be exploited to foster research on multilingual corpus-based ontology learning, population and matching. The building resource process is exemplified by the construction of annotated comparable corpora in En-glish,(More)
Multidimensional analysis is an alternative way for sum-marising, aggregating and viewing RDF data on different axes (dimensions) and subjects of analysis (facts). From a RDF data collection conforming to the W3C Data Cube specification, we formalise a multidi-mensional model in terms of RDF data structures following a conceptual constellation model. This(More)
This paper improves on the " First results " initially published in the on-site proceedings of the ISWC workshop on Ontology Matching (OM-2010). The only official results of the campaign, however, are on the OAEI web site. Abstract. Ontology matching consists of finding correspondences between entities of two ontologies. OAEI campaigns aim at comparing(More)
Ontology matching consists of finding correspondences between on-tology 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,(More)
This paper presents a mechanism for enriching events with geolocalized and temporal open data thanks to spatial and temporal relations. We validate the approach by integrating seismic data, metadata records of satellite imagery and weather information. Together they enable to see impacted areas and to know weather conditions before, during and after a(More)