L’activitat científica del grup se centra en la investigació, la transferència tecnològica i la formació en temes lligats a la modelització i el processament de la informació, com ara la modelització conceptual, la qualitat de les dades, la intel•ligència del negoci, la mineria de dades o l’enginyeria de serveis. En el marc d’aquesta activitat, els membres del grup han aconseguit en el període 2014-juny 2017 14 projectes de R+D competitius i diversos contractes amb empreses, amb un ingrés total que supera els tres milions d’euros. També han publicat més de 50 articles en revistes indexades al Journal Citation Reports (JCR) i 15 capítols de llibre. A nivell formatiu, coordinen un Erasmus Mundus de Màster i han dirigit 11 tesis doctorals en els últims tres anys i mig. A més, compten amb nombroses col·laboracions internacionals i duen regularment a terme accions de divulgació científica dels resultats de la recerca.

Recent Submissions

  • D'ingres a postgres: evolució de la implementació d'un SGBD relacional 

    Urpí Tubella, Antoni (1988)
    External research report
    Open Access
    This work describes the implementation of INGRES, one of the first relational data base management systems. The initial release of INGRES, created in Berkeley around 1976, developed to the actual POSTGRES. We study in ...
  • Keeping the data lake in form: proximity mining for pre-filtering schema matching 

    Al-serafi, Ayman Mounir Mohamed; Abelló Gamazo, Alberto; Romero Moral, Óscar; Calders, Toon (2020-05)
    Article
    Open Access
    Data Lakes (DLs) are large repositories of raw datasets from disparate sources. As more datasets are ingested into a DL, there is an increasing need for efficient techniques to profile them and to detect the relationships ...
  • SETLBI: An integrated platform for semantic business intelligence 

    Deb Nath, Rudra Pratap; Hose, Katja; Bach Pedersen, Torben; Romero Moral, Óscar; Bhattacharjee, Amrit (Association for Computing Machinery (ACM), 2020)
    Conference report
    Open Access
    With the growing popularity of Semantic Web technologies, more and more organizations natively manage data using Semantic Web standards, in particular RDF. This development gives rise to new requirements for Business ...
  • Multidimensional integration of RDF datasets 

    Behan, Jam Jahanzeb Khan; Romero Moral, Óscar; Zimányi, Esteban (Springer, 2019)
    Conference lecture
    Open Access
    Data providers have been uploading RDF datasets on the web to aid researchers and analysts in finding insights. These datasets, made available by different data providers, contain common characteristics that enable their ...
  • The challenge: From MPEG intellectual property rights ontologies to smart contracts and blockchains [standards in a nutshell] 

    Kudumakis, Panos; Wilmering, Thomas; Sandler, Mark; Rodríguez Doncel, Víctor; Boch, Laurent; Delgado Mercè, Jaime (2020-03)
    Article
    Open Access
    The Moving Picture Experts Group (MPEG) is an International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) working group that develops media coding standards. These standards include ...
  • A semantic model to fight social exclusion 

    Ortiz Santiago, Víctor Alejandro; Estañol Lamarca, Montserrat; Marinescu, Maria Cristina; Sancho Samsó, María Ribera; Teniente López, Ernest; Rueda Palenzuela, Carmen (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Open Access
    This work presents a semantic model meant to help with the identification and prediction of individuals at risk of social exclusion. The model is based on the self-sufficiency matrix, a tool that evaluates a person's ...
  • Simulation assessment of new generation navigation strategies 

    Montero Mercadé, Lídia; Linares Herreros, María Paz; Casanovas Garcia, Josep; Recio Domènech, Gonzalo; Lorente García, Ester; Salmeron Moya, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Probe vehicle (or connected car) data are becoming an important source of real-time travel information for a variety of intelligent transportation system applications. Since traditional sensors have significant installation ...

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