INFORMATION SYSTEMS AND KNOWLEDGE BASES

Research in the area of Information Systems, Knowledge and Data Bases has been carried out in the Institute since its constitution, and is characterized by methodological as well as system-oriented activities. Experimental activities are also pursued, at national and international level, concerning the application of advanced methodological solutions to the sectors of medicine, transport, enterprise management, territory management, cultural heritage and environment, public administration. Prototypal Applications and Systems are also developed.


Research topics
DATA BASES

Query Processing and Optimisation, Data Warehousing-OLAP, Statistical Databases, Aggregate Query Rewriting and Materialized Views, Interoperability of Databases, Data Integration, Spatial Databases, Data Modelling and Advanced Query Languages.


INFORMATION SYSTEMS

Information Retrieval and Database Systems, Geographical Information Systems (GIS). Advanced Interfaces for Human-Computer Interaction. Conceptual Models to Represent Urban Data. Data Quality in Cooperative Information Systems.


KNOWLEDGE BASES

XML formalisms and methods for static and dynamic knowledge representation. Knowledge base validation (e.g., checking consistency, completeness, redundancy) with a focus on correctness checking of specialisation hierarchies. Semantic Web and ontologies. Methods and tools for ontology construction and management. Enterprise modeling methods and tools. Business process modelling (Workflow). Enterprise knowledge management. The impact of knowledge technologies on enterprise organization. Semantic interoperability. Groupware and distributed decision support systems for knowledge management. Knowledge management in Enterprise Resource Planning (ERP) systems. Semantic document management.


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