Finding information over Open Data sources and combining them is a complex task, because it is necessary to find reliable information, to sanitize the data and to integrate it, prior…
Read MoreThe diversity and volume of Open Data sources has grown rapidly in recent years, partly due to transparency policies adopted by many public institutions. But the data sources are intrinsically…
Read MoreThere are several solutions that translate the schema and/or data extracted from relational databases into ontologies. One of the objectives of such translation is to achieve semantic integration between heterogeneous…
Read MoreThe large availability of Open Data sources encoded in different formats makes the processing and interoperability of these sources difficult. One possible solution (among several others) is to translate the…
Read MoreWe recently got a Demo paper accepted at EDBT 2019 describing our HOTMapper tool that enables defining and storing mappings of Open Data sources into an integrated data source in…
Read MoreIn information extraction frameworks, finding a matching for a word in a text is a very common issue. The matching is often done based in a given input dictionnary. This…
Read MoreWe have been working on different initiatives to process large amounts of open data and to produce useful information, for instance, the Educational Data Lab or the Web Portal for…
Read MoreOur group has been working on different initiatives to produce useful open data to end users. One of them is the collection and monitoring for assessment and evaluation, Another one…
Read MoreInteroperability been data formats/metadata/applications has always been a research subject that I am interested on. Without searching very hard, I’ve found 4 of my publications with interoperability in the title!…
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