An Ontology for Representing and Extracting Knowledge Starting from Open Data of Public Administrations

Patrizia Agnello, Silvia Ansaldi

Abstract

As proposed by European Commission through the institution of Europe’s Digital Agenda, the Italian Digital Agenda has promoted the publication and the use of Open Data (OD) owned by the Public Administration (PA), providing with the appropriate guidelines for describing and managing Open Data under criteria of transparency, usability, accessibility. Inail (Italian Institute for Insurance against Accidents at Work) has recently started to publish periodically OD related to occupational accidents and diseases. The Inail OD, as they are defined, are mainly suitable for statistical studies but together with the vocabulary and the typological tables, that explicitly describe some codes in the dataset, it has been possible to develop a conceptual model which may be linked to schemas provided by other PA’s for achieving the interoperability among those data through their semantics. Starting from the OD on occupational accidents, an ontology has been developed for capturing the meaning (semantics) of information, both contained into the OD available from Inail and defined in the vocabulary. The formalism of the ontology adopted for representing the knowledge, in terms of concepts and their relations, ensures to share a common language avoiding misinterpretations and misunderstanding.

References

  1. Agnello P., Ansaldi S., Bragatto P.A., 2014. Pooling knowledge and improving safety for contracted works at a large industrial park. In Special Issue WORK: A Journal of Prevention, Assessment, and Rehabilitation. Karen Jacobs, Editor.
  2. Ansaldi S., Monti M., Agnello P., Giannini F., 2012. An ontology for the identification of the most Appropriate Risk Management Methodology, P. Herrero et al. (Eds.): OTM Workshops, Lecture Notes in Computer Science 7567, 444-453. © Springer-Verlag Berlin Heidelberg.
  3. Boselli, R., Cesarini, M., Mercorio, F., & Mezzanzanica, M., 2014. Are the Methodologies for Producing Linked Open Data Feasible for Public Administrations?. In Proceedings of Special Session in Knowledge Discovery meets Information Systems (KomIS) at DATA2014. ISBN 978-989-758-035-2
  4. Ciriello, G., De Felice, M., Mosca, R., Veltroni, M., 2013. Infortuni sul lavoro. Un modello di lettura (della numerosità) su "open data" dell'Inail, Quaderni di ricerca. Inail, Roma.
  5. Noy, N. F., McGuinnes, D. L., 2001. Ontology Development 101: A Guide to Creating Your First Ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880.
  6. Reddick, C. G., Anthopoulos, L., 2015. Information and Communication Technologies in Public Administration. Taylor and Francis Group. ISBN: 978-1-4822-3930-0
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Paper Citation


in Harvard Style

Agnello P. and Ansaldi S. (2015). An Ontology for Representing and Extracting Knowledge Starting from Open Data of Public Administrations . In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 195-200. DOI: 10.5220/0005557501950200


in Bibtex Style

@conference{data15,
author={Patrizia Agnello and Silvia Ansaldi},
title={An Ontology for Representing and Extracting Knowledge Starting from Open Data of Public Administrations},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={195-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005557501950200},
isbn={978-989-758-103-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - An Ontology for Representing and Extracting Knowledge Starting from Open Data of Public Administrations
SN - 978-989-758-103-8
AU - Agnello P.
AU - Ansaldi S.
PY - 2015
SP - 195
EP - 200
DO - 10.5220/0005557501950200