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Authors: E. Fersini 1 ; E. Messina 1 ; D. Toscani 2 ; F. Archetti 2 and M. Cislaghi 2

Affiliations: 1 University of Milano-Bicocca, Italy ; 2 Consorzio Milano Ricerche, Italy

ISBN: 978-989-8425-30-0

Keyword(s): e-Justice, Digital trial folder, Information extraction and retrieval, Speech processing, Video analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Digital Libraries ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge Management Projects ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Symbolic Systems ; Tools and Technology for Knowledge Management ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Information and Communication Technologies play a fundamental role in e-justice: the traditional judicial folder is being transformed into an integrated multimedia folder, where documents, audio and video recordings can be accessed and searched via web-based judicial content management platforms. Usability of the electronic judicial folders is still hampered by traditional support toolset, allowing search only in textual information, rather than directly in audio and video recordings. Transcription of audio recordings and template filling are still largely manual activities. Thus a significant part of the information available in the trial folder is usable only through a time consuming manual search especially for audio and video recordings that describe not only what was said in the courtroom, but also the way and the specific trial context in which it was said. In this paper we present the JUMAS system, stemming from the JUMAS project started on February 2008, that takes up the chal lenge of using semantics towards a better usability of the multimedia judicial folders. The main aim of this paper is to show how JUMAS has provided the judicial users with a powerful toolset able to fully exploit the knowledge embedded into multimedia judicial folders. (More)

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Paper citation in several formats:
Fersini E., Messina E., Toscani D., Archetti F. and Cislaghi M. (2010). SEMANTICS AND MACHINE LEARNING FOR BUILDING THE NEXT GENERATION OF JUDICIAL COURT MANAGEMENT SYSTEMS.In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010) ISBN 978-989-8425-30-0, pages 51-60. DOI: 10.5220/0003099300510060

@conference{kmis10,
author={E. Fersini and E. Messina and D. Toscani and F. Archetti and M. Cislaghi},
title={SEMANTICS AND MACHINE LEARNING FOR BUILDING THE NEXT GENERATION OF JUDICIAL COURT MANAGEMENT SYSTEMS},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010)},
year={2010},
pages={51-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003099300510060},
isbn={978-989-8425-30-0},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010)
TI - SEMANTICS AND MACHINE LEARNING FOR BUILDING THE NEXT GENERATION OF JUDICIAL COURT MANAGEMENT SYSTEMS
SN - 978-989-8425-30-0
AU - Fersini E.
AU - Messina E.
AU - Toscani D.
AU - Archetti F.
AU - Cislaghi M.
PY - 2010
SP - 51
EP - 60
DO - 10.5220/0003099300510060

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