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Authors: Lucia De Marco 1 ; Filomena Ferrucci 2 ; M-Tahar Kechadi 3 ; Gennaro Napoli 2 and Pasquale Salza 2

Affiliations: 1 University of Salerno and University College Dublin, Italy ; 2 University of Salerno, Italy ; 3 University College Dublin, Ireland

ISBN: 978-989-758-182-3

Keyword(s): Cloud Computing, Service Level Agreements, Natural Language Processing, Information Extraction.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Monitoring of Services, Quality of Service, Service Level Agreements ; Service Monitoring and Control ; Services Science

Abstract: Service Level Agreements (SLAs) are contracts co-signed by an Application Service Provider (ASP) and the end user(s) to regulate the services delivered through the Internet. They contain several clauses establishing for example the level of the services to guarantee, also known as quality of service (QoS) parameters and the penalties to apply in case the requirements are not met during the SLA validity time. SLAs use legal jargon, indeed they have legal validity in case of court litigation between the parties. A dedicated contract management facility should be part of the service provisioning because of the contractual importance and contents. Some work in literature about these facilities rely on a structured language representation of SLAs in order to make them machine-readable. The majority of these languages are the result of private stipulation and not available for public services where SLAs are expressed in common natural language instead. In order to automate the SLAs manageme nt, in this paper we present an investigation towards SLAs text recognition. We devised an approach to identify the definitions and the constraints included in the SLAs using different machine learning techniques and provide a preliminary assessment of the approach on a set of 36 publicly available SLA documents. (More)

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Paper citation in several formats:
De Marco, L.; Ferrucci, F.; Kechadi, M.; Napoli, G. and Salza, P. (2016). Towards Automatic Service Level Agreements Information Extraction.In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER, ISBN 978-989-758-182-3, pages 59-66. DOI: 10.5220/0005873100590066

@conference{closer16,
author={Lucia De Marco. and Filomena Ferrucci. and M{-}Tahar Kechadi. and Gennaro Napoli. and Pasquale Salza.},
title={Towards Automatic Service Level Agreements Information Extraction},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER,},
year={2016},
pages={59-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005873100590066},
isbn={978-989-758-182-3},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER,
TI - Towards Automatic Service Level Agreements Information Extraction
SN - 978-989-758-182-3
AU - De Marco, L.
AU - Ferrucci, F.
AU - Kechadi, M.
AU - Napoli, G.
AU - Salza, P.
PY - 2016
SP - 59
EP - 66
DO - 10.5220/0005873100590066

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