We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.

The MdM Strategic Research Program has its own community in Zenodo for material available in this repository  as well as at the UPF e-repository  . Below a non-exhaustive list of datasets representative of the research in the Department.

As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)

 

 

Back Calvanese D, Montali M, Lobo J. Verification of Fixed-Topology Declarative Distributed Systems with External Data. Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management

Calvanese D, Montali M, Lobo J. Verification of Fixed-Topology Declarative Distributed Systems with External Data. Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management

Logic-based languages, such as Datalog and Answer Set Programming, have been recently put forward as a data-centric model to specify and implement network services and protocols. This approach provides the basis for declarative distributed computing, where a distributed system consists of a network of computational nodes, each evolving an internal database and exchanging data with the other nodes. Verifying these systems against temporal dynamic specifications is of crucial importance. In this paper, we attack this problem by considering the case where the network is a fixed connected graph, and nodes can incorporate fresh data from the external environment. As a verification formalism, we consider branching-time, first-order temporal logics. We study the problem from different angles, delineating the decidability frontier and providing tight complexity bounds for the decidable cases.

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