Networked Multimedia Information Systems Laboratory (NeMIS)

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Head: Donatella Castelli

The main objective of the "Networked Multimedia Information Systems" (NeMIS) laboratory is the research and development of technologies for the management, distribution, and fruition of multimedia information, i.e., information represented not only in textual form but also in other forms, like images, audio/video, scientific data, etc. Designing and developing networked multimedia information systems involves a multitude of aspects including: acquisition, access, presentation, and communication, and presents and will continue to present great challenges to computer scientists and engineers. Given the tremendous growth in the use of multimedia applications, the design of efficient and cost-effective networked multimedia information systems will be of central importance to the development and deployment of a multitude of new applications.

Designing and developing networked multimedia information systems requires cross-synergies and expertise over the wide spectrum of challenges in the area of information management and processing. On this respect, NeMIS research interests focus on the definition of algorithms, techniques, models and methods addressing aspects such as acquisition, integration, storage, analysis, indexing, provision, and presentation of digital information (e.g., text documents, videos, images, scientific data) across different scientific and industrial application domains. The NeMIS Lab is organized in five Research Groups:

The Digital Libraries group (lead by Carlo Meghini) works on modeling and engineering aspects of digital libraries management system, and collaborates with the Europeana for the construction and the maintenance of the European Digital Library

The InfraScience group (lead by Donatella Castelli) aims at Enabling Scientific Data Infrastructures. Its activities are characterized by a strong research and development flavor, involving real scientific communities and achieving technology transfer. Its main interests are on the following main challenges: Digital Library foundations, Digital Library Management Systems, Data Management and Data Curation Services for Science, Scientific Data Infrastructure foundations and middleware (Operation and Enabling Services).

The Multimedia Information Retrieval (MIR) group (lead by Giuseppe Amato) works on extraction and retrieval of semantic information from multimedia data sources, with particular emphasis on techniques for big data.

The Text Analysis Group (TAG) group (lead by Fabrizio Sebastiani) focuses on the research area is situated at the crossroad of three main disciplines: Information Retrieval, Machine Learning, and Natural Language Processing

The Semantic Web group (lead by Umberto Straccia) focuses on ontology-based information integration, access, retrieval and machine learning, as well as on extensions of Semantic Web Languages, with features allowing them to deal with the inherent uncertainty in representing and reasoning with Semantic Web data.

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