loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Antonio Oliveri 1 ; Patrizia Ribino 1 ; Salvatore Gaglio 1 ; Giuseppe Lo Re 1 ; Tonio Portuesi 2 ; Aurelio La Corte 2 and Francesco Trapani 2

Affiliations: 1 Universita' degli Studi di Palermo, Italy ; 2 Sicilia e-Innovazione s.p.a., Italy

ISBN: 978-989-674-010-8

Keyword(s): Knowledge management, Knowledge management systems, Ontology, Software reuse, Rule-base processing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Decision Support Systems ; Enterprise Information Systems ; Enterprise Software Technologies ; Expert Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Software Engineering ; Symbolic Systems

Abstract: Over the last few years, several projects for the development of innovative systems capable of collecting and sharing information have been carried out, following the increasing companies’ interest on a correct knowledge management. ICT companies’ managers have realized that knowledge and its management, more than the mere data, constitute fundamental part of their activities. This paper proposes a Knowledge Management System whose main feature is an underlying ontological knowledge representation. This data representation allows the specialization of the reasoning capabilities and the provision of ad hoc behaviors. The system has been designed for the management of projects and processes and has been tested using data coming from projects and processes typical of government ICT companies, providing a Document Management System and an Expert System to share documents and to plan how to best use firms’ knowledge.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.231.226.211

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Oliveri A.; Ribino P.; Gaglio S.; Lo Re G.; Portuesi T.; La Corte A.; Trapani F. and (2009). KROMOS: ONTOLOGY BASED INFORMATION MANAGEMENT FOR ICT SOCIETIES.In Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-674-010-8, pages 318-325. DOI: 10.5220/0002254903180325

@conference{icsoft09,
author={Antonio Oliveri and Patrizia Ribino and Salvatore Gaglio and Giuseppe {Lo Re} and Tonio Portuesi and Aurelio {La Corte} and Francesco Trapani},
title={KROMOS: ONTOLOGY BASED INFORMATION MANAGEMENT FOR ICT SOCIETIES},
booktitle={Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2009},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002254903180325},
isbn={978-989-674-010-8},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - KROMOS: ONTOLOGY BASED INFORMATION MANAGEMENT FOR ICT SOCIETIES
SN - 978-989-674-010-8
AU - Oliveri, A.
AU - Ribino, P.
AU - Gaglio, S.
AU - Lo Re, G.
AU - Portuesi, T.
AU - La Corte, A.
AU - Trapani, F.
PY - 2009
SP - 318
EP - 325
DO - 10.5220/0002254903180325

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.