International audienceThe Semantic Web enables to describe knowledge from data and leverage implicit knowledge through reasoning algorithms. The main limitations of current reasoning methods are the lack of scalability for large datasets and their inability to reason over knowledge from evolving data. We contribute solving these problems by introducing Slider, an efficient incremental reasoner
International audienceReasoning over semantically annotated data is an emerging trend in stream proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
In the Big Data era, RDF data are producing in high volumes. While there exist proposals for reasoni...
International audienceThe Semantic Web enables to describe knowledge from data and leverage implicit...
International audienceThe Semantic Web has gained substantial momentum over the last decade. It cont...
International audienceThe Semantic Web contributes to the elicitation of knowl- edge from data, and ...
In this thesis, we propose an architecture for incremental reasoning on triple streams. To ensure sc...
International audienceTechniques for efficiently managing Semantic Web data have attracted significa...
International audienceThe advent of semantic data on the Web requires efficient reasoning systems to...
International audienceThis paper presents Tuuurbine, a case-based reasoning (CBR) system for the Sem...
WOS: 000374121500037Reasoning is a vital ability for semantic web applications since they aim to und...
This thesis investigates the area of semantic stream processing, in which data streams are combined ...
Preprint submited to a conferenceThe vision of the Semantic Web is becoming a reality with billions ...
As the semantic web grows in popularity and enters the mainstream of computer technology, RDF(Resour...
International audienceL'émergence du Web sémantique et la multiplication des applications qui y sont...
International audienceReasoning over semantically annotated data is an emerging trend in stream proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
In the Big Data era, RDF data are producing in high volumes. While there exist proposals for reasoni...
International audienceThe Semantic Web enables to describe knowledge from data and leverage implicit...
International audienceThe Semantic Web has gained substantial momentum over the last decade. It cont...
International audienceThe Semantic Web contributes to the elicitation of knowl- edge from data, and ...
In this thesis, we propose an architecture for incremental reasoning on triple streams. To ensure sc...
International audienceTechniques for efficiently managing Semantic Web data have attracted significa...
International audienceThe advent of semantic data on the Web requires efficient reasoning systems to...
International audienceThis paper presents Tuuurbine, a case-based reasoning (CBR) system for the Sem...
WOS: 000374121500037Reasoning is a vital ability for semantic web applications since they aim to und...
This thesis investigates the area of semantic stream processing, in which data streams are combined ...
Preprint submited to a conferenceThe vision of the Semantic Web is becoming a reality with billions ...
As the semantic web grows in popularity and enters the mainstream of computer technology, RDF(Resour...
International audienceL'émergence du Web sémantique et la multiplication des applications qui y sont...
International audienceReasoning over semantically annotated data is an emerging trend in stream proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
In the Big Data era, RDF data are producing in high volumes. While there exist proposals for reasoni...