The UNIMI group is well known for its research activity on schema and ontology matching and integration and for its HMatch ontology matching system evaluated in the OAEI International Contest. The ISLab group is one of the founders of the instance matching track, part of OAEI since 2009.

The ISLab (Information Systems and knowledge management) group is the research group on databases, information systems, and knowledge management of the Dipartimento di Informatica of the Università degli Studi di Milano.

Research activity at ISLab is mainly focused on data science, data integration, data summarization in new generation systems, spanning from conventional web information systems to semantic and social Webs. Recent research activities and projects at the ISLab regard multidisciplinary applications of data science with specific focus on Data Science and Law, Digital and Computational Humanities, and Crowd-Collaborative Data Management.

On these topics, the ISLab group has been involved in several EU and national projects, among which the recent EU H2020 VAST, EU ERC H2020 Tacitroots, EU ERC H2020 AN-ICON, and Next Generation UPP funded by the Italian Ministry of Justice to improve the performance of the Italian Court Offices.

The UNIMI group is well known for its research activity on schema and ontology matching and integration and for its HMatch ontology matching system evaluated in the OAEI International Contest. The ISLab group is one of the founders of the instance matching track, part of OAEI since 2009.

The ISLab (Information Systems and knowledge management) group is the research group on databases, information systems, and knowledge management of the Dipartimento di Informatica of the Università degli Studi di Milano.

Research activity at ISLab is mainly focused on data science, data integration, data summarization in new generation systems, spanning from conventional web information systems to semantic and social Webs. Recent research activities and projects at the ISLab regard multidisciplinary applications of data science with specific focus on Data Science and Law, Digital and Computational Humanities, and Crowd-Collaborative Data Management.