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Other research product . 2016

Towards Automatic Service Level Agreements Information Extraction

De Marco, Lucia; Ferucci, Filomena; Kechadi, Tahar; et al.;
Open Access
English
Published: 25 Apr 2016
Publisher: SCITEPRESS – Science and Technology Publications
Country: Ireland
Abstract

6th International Conference on Cloud Computing and Services Science, Rome, Italy, 23-25 April 2016 Information systems and computing capabilities are delivered through the Internet in the form of services; they are regulated by a Service Level Agreement (SLA) contract co-signed by a generic Application Service Provider (ASP) and the end user(s), as happens for instance in the cloud. In such a type of contract several clauses are established; they concern 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, among others. SLA contracts 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 between private industries and not available for public services where SLAs are expressed in common natural language instead. In order to automate the SLAs management, the first step is to recognise the documents. In this paper an investigation towards SLAs text recognition is presented; the proposal is driven by an analysis of the contractual contents necessary to be automatically extracted in order to facilitate possible criminal investigations.

Subjects by Vocabulary

ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTING

Subjects

Optimisation, Decision analytics, Cloud computing, Service level agreements, Natural language processing, Information extraction

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