JUMAS · Judicial Management by Digital Libraries Semantics

Public administrations represent the largest information bound professional communities: among them the judicial sector is one of the largest, where the needs of cooperation are critical creating an exceedingly large improvement potential through adoption of novel content management techniques and development of new solutions for its specific needs of retrieval and semantic analysis. This potential is even larger considering the growing trans-national cooperation also among several national law systems, highlight the need to adapt the technological profiles of new member states. In this context JUMAS is the leverage able to converge to an actionable knowledge starting from the content revolution. In particular, JUMAS envisages a system for the embedded semantic extraction from multimedia data that join into an advanced knowledge management system. Moreover JUMAS is tailored at managing situations in which multiple cameras and audio-source are used to record assemblies in which people debates and event sequences need to semantically reconstructed for future consultation. The project has several objectives:1.\tKnowledge Models and Spaces: Search directly in the audio and video source without a verbatim transcription of the proceedings.2.\tKnowledge and Content Management: Exploit hidden semantics in audiovisual digital libraries in order to facilitate search and retrieval, intelligent processing and effective presentation of multimedia information.3.\tSensor and Multimedia Integration: Information fusion deriving from multimodal sources in order to improve accuracy in automatic transcription and annotation phases.4.\tEffective Information Management: Streamline and Optimize the document workflow allowing the analysis of (un)structured information for document search and evidence base assessment.5.\tICT Infrastructure: Service Oriented Architecture supporting a large scale audio/video retrieval system focusing on scalability, interoperability and modularity.