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start [2016/10/11 09:02] – philippereneviergonin | start [2022/02/28 10:15] (current) – jaillet | ||
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SPARKS is an acronym for **S**calable and **P**ervasive softw**AR**e and **K**nowledge **S**ystems | SPARKS is an acronym for **S**calable and **P**ervasive softw**AR**e and **K**nowledge **S**ystems | ||
- | **Head** : Andrea G. B. Tettamanzi | + | **Head** : Marco Winckler |
The team investigates the organization, | The team investigates the organization, | ||
- | The team’s scientific objectives are therefore naturally structured around | + | The team’s scientific objectives are therefore naturally structured around |
- | * knowledge extraction and learning focusing on the development and application of data mining, machine learning, knowledge discovery methods, the automatic construction of ontologies and automatic knowledge-base enrichment; | + | * **knowledge extraction and learning** : focusing on the development and application of data mining, machine learning, knowledge discovery methods, the automatic construction of ontologies and automatic knowledge-base enrichment; |
- | * formalizing and reasoning with users and models studying the different types of knowledge-based interactions, | + | * **formalizing and reasoning with users and models** : studying the different types of knowledge-based interactions, |
- | * scalable software systems focusing on models of distributed computation, | + | * **scalable software systems** : focusing on models of distributed computation, |
+ | * **Computer Science and Biology** : computer science is necessary for pushing forwards the knowledge frontiers in biology using, e.g., ontologies, data mining, knowledge extraction, modelling and simulation of dynamic biological systems, formal proofs about the behaviour of biological systems and more generally model-based reasoning assisted by computers. There are also countless bio-inspired techniques that have made major research contributions, | ||
The keywords that best describe the areas of interest of the team’s members and their field of activity are the following (sorted by order of importance): | The keywords that best describe the areas of interest of the team’s members and their field of activity are the following (sorted by order of importance): | ||
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