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 extraction of information from text is very important for language understanding. There are different kinds of expressions that can be extracted; temporal expressions (timexes) are one kind of these…
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 MoreCreating drawings of an architecture, of an algorithm, or even of writing a full algorithm in the blackboard or in a piece of paper is an important step when doing…
Read MoreOur research group has been working on a portal for open educational resources (Plataforma MEC de recursos educacionais digitais) with the objective to gather OERs from different sources and to…
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…
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