Cássia Trojahn

Learn 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)
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 thesauri 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 welldefined meaning to the Web information, facilitating its sharing and processing. Multilinguality is(More)
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)
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 English,(More)
for dissemination) This deliverable reports the results of the first SEALS evaluation campaign, which has been carried out in coordination with the OAEI 2010 campaign. A subset of the OAEI tracks has been included in a new modality, the SEALS modality. From the participant’s point of view, the main innovation is the use of a web-based interface for(More)
Multidimensional analysis is an alternative way for summarising, 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 multidimensional model in terms of RDF data structures following a conceptual constellation model. This(More)
Matching domain and top-level ontologies is an important task but still an open problem in the ontology matching field, particularly due to their different levels of abstraction. Beyond that, validating candidate alignments is crucial before exploiting them within ontology construction and integration processes involving such kinds of ontologies. This paper(More)
for dissemination) This deliverable reports on the results of the second SEALS evaluation campaign (for WP12 it is the third evaluation campaign), which has been carried out in coordination with the OAEI 2011.5 campaign. Opposed to OAEI 2010 and 2011 the full set of OAEI tracks has been executed with the help of SEALS technology. 19 systems have(More)