A Model for Checking Contractual Compliance of Business Interactions

Molina-Jiménez, Carlos; Shrivastava, Santosh K.; Strano, Massimo

doi:10.1109/tsc.2011.37

Cited by 24 publications

(29 citation statements)

References 25 publications

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“…Molina-Jimenez et al [22] provide an approach for checking the compliance of monitored business interactions with respect to a formally specified contract. The above approaches perform their enactment, monitoring, and analysis based upon a formal model.…”

Section: Contract Analysismentioning

confidence: 99%

Mining Contracts for Business Events and Temporal Constraints in Service Engagements

Gao

Singh

2014

IEEE Trans. Serv. Comput.

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Abstract-Contracts are legally binding descriptions of business service engagements. In particular, we consider business events as elements of a service engagement. Business events such as purchase, delivery, bill payment, bank interest accrual not only correspond to essential processes but are also inherently temporally constrained. Identifying and understanding the events and their temporal relationships can help a business partner determine what to deliver and what to expect from others as it participates in the service engagement specified by a contract. However, contracts are expressed in unstructured text and their insights are buried therein. Our contributions are threefold. We develop a novel approach employing a hybrid of surface patterns, parsing, and classification to extract (1) business events and (2) their temporal constraints from contract text. We use topic modeling to (3) automatically organize the event terms into clusters. An evaluation on a real-life contract dataset demonstrates the viability and promise of our hybrid approach, yielding an F-measure of 0.89 in event extraction and 0.90 in temporal constraints extraction. The topic model yields event term clusters with an average match of 85% between two independent human annotations and an expert-assigned set of class labels for the clusters.

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Section: Contract Analysismentioning

confidence: 99%

Mining Contracts for Business Events and Temporal Constraints in Service Engagements

Gao

Singh

2014

IEEE Trans. Serv. Comput.

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“…Our literature review identified three main contributions specific to the case of compliance management in collaborative scenarios [15,20,24].…”

Section: Related Workmentioning

confidence: 99%

“…The work presented in [20] defines a model for the event-based compliance checking of contract-based collaborations. Although the work focuses on business conversations, i.e.…”

Section: Related Workmentioning

confidence: 99%

Aligning Monitoring and Compliance Requirements in Evolving Business Networks

Comuzzi

2014

On the Move to Meaningful Internet Systems: OTM 2014 Conferences

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This is the submitted version of the paper.This version of the publication may differ from the final published version. Abstract. Dynamic business networks (BNs) are intrinsically characterised by change. Compliance requirements management, in this context, may become particularly challenging. Partners in the network may join and leave the collaboration dynamically and tasks over which compliance requirements are specified may be consequently delegated to new partners or backsourced by network participants. This paper considers the issue of aligning the compliance requirements in a BN with the monitoring requirements they induce on the BN participants when change (or evolution) occurs. We first provide a conceptual model of BNs and their compliance requirements, introducing the concept of monitoring capabilities induced by compliance requirements. Then, we present a set of mechanisms to ensure consistency between the monitoring and compliance requirements when BNs evolve, e.g. tasks are delegated or backsourced in-house. Eventually, we discuss a prototype implementation of our framework, which also implements a set of metrics to check the status of a BN in respect of compliance monitorability. Permanent repository link

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“…Our PM is based on the concept of contract compliance checking that we have developed earlier, and described in [1]. The concepts discussed in [1] also underpin the rule based contract specification language called EROP (for Events, Rights, Obligations and Prohibitions) and a contract compliance checking service (CCC) for contracts/service agreements written in EROP [1], [2].…”

Section: Introductionmentioning

confidence: 99%

“…The concepts discussed in [1] also underpin the rule based contract specification language called EROP (for Events, Rights, Obligations and Prohibitions) and a contract compliance checking service (CCC) for contracts/service agreements written in EROP [1], [2]. The CCC essentially acts as the PM.…”

Section: Introductionmentioning

confidence: 99%

An architecture for negotiation and enforcement of resource usage policies

Molina-Jiménez

Shrivastava

Wheater³

2011

2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA)

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Advances in Cloud computing are making it possible for service providers to offer computational resources such as storage and compute power (infrastructure as a service, IaaS) to sophisticated enterprise application services (software as a service SaaS) to remote clients for a fee on a highly dynamic basis. As in any business transaction, client access to a service is regulated by a legal Service Agreement (SA). A service agreement needs to be negotiated and agreed between the provider and the client before the latter can use the service. Then on, both the client and the provider will need assurances that service interactions are in accordance with the SA, and any violations are detected and their causes identified. There is thus a need for automated support for negotiation and enforcement of service agreements. This paper discusses key design issues for such a system, of which the main one is to ensure that the policies (termed also clauses) contained in an SA are logically sound and that they work in harmony with any private policies of the client and the provider. The paper presents an architecture and a proof of concept implementation.

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A Model for Checking Contractual Compliance of Business Interactions

Cited by 24 publications

References 25 publications

Mining Contracts for Business Events and Temporal Constraints in Service Engagements

Mining Contracts for Business Events and Temporal Constraints in Service Engagements

Aligning Monitoring and Compliance Requirements in Evolving Business Networks

An architecture for negotiation and enforcement of resource usage policies

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