Ontological Representation and Governance of Business Semantics in Compliant Service Networks

Leenheer, Pieter De; Cardoso, Jorge; Pedrinaci, Carlos

doi:10.1007/978-3-642-36356-6_12

Cited by 9 publications

(3 citation statements)

References 28 publications

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“…The review of the service requirements are based on the Big Data service itself, other changes within the business, changes within the service provider organization. Service is considered as a value providing as well as a value integrating action [9]. A service is a value co-creation process.…”

Section: H Decision Making and Results Evaluationmentioning

confidence: 99%

Service science facing Big Data

Pańkowska

2014

International Conference on Information Society (I-Society 2014)

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The Big Data is a modification of the traditional view of information organization, particularly view of the data warehouses and databases. Nowadays, business organizations must address a mix of structured, unstructured and streaming data that supports queries and reports. Business recognized the wealth of untapped information in open social media data. Therefore, the goal of this paper is to present the procedural approach on how to cope with massive data sets' management. The proposal included in this paper covers service science application.

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Section: H Decision Making and Results Evaluationmentioning

confidence: 99%

Service science facing Big Data

Pańkowska

2014

International Conference on Information Society (I-Society 2014)

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“…FaCT++, Pellet, may then be used to check the compliance. Prominent work efforts in this direction are [21], [22], [14] and [23]. However, as pointed out in [14] ontology languages, such as OWL and DL can only capture the structural part of a specific domain.…”

Section: Related Workmentioning

confidence: 99%

Lifecycle Business Process Compliance Management: A Semantically-Enabled Framework

Elgammal

Türetken

2015

2015 International Conference on Cloud Computing (ICCC)

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Abstract-Following the crisis in 2008, different industrial sectors has faced growing numbers of laws and regulations globally. The number and complexity of these regulations is creating significant issues for governance, risk and compliance management especially for heavily-regulated sectors, such as the financial industry. This paper proposes a semanticallyenabled compliance management framework that backs up the entire business process compliance lifecycle, i.e., design-time verification, runtime and offline monitoring and analysis. In the heart of the framework is an integrated semantic repository incorporating domain, business and regulatory knowledge, at different levels of abstraction, which provides a shared conceptualization of the interrelated compliance and business specifics. Furthermore, given the technological revolution caused by cloud computing, we draw our vision on providing compliance-related ontologies as a service (COaaS) on the cloud. As an initial validation step, we have considered the financial sector with an Anti-Money Laundering (AML) case study and applied our semantic-based approach on.

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“…In De Leenheer et al (2013) we distinguish at least two areas of service study. They have been developing largely independently from each other, resulting in divergent service conceptions.…”

Section: Introductionmentioning

confidence: 99%

e3service: An ontology for needs-driven real-world service bundling in a multi-supplier setting

Kinderen¹,

Leenheer

Gordijn

et al. 2013

Applied Ontology

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Businesses increasingly offer their services electronically via the Web. Take for example an Internet Service Provider. An ISP offers a variety of services, including raw bandwidth, IP connectivity, and Domain Name resolution. Although in some cases a single service already satisfies a customer need, in many situations a customer need is so complex that a bundle of services is needed to satisfy the need, as with the ISP example. In principle, each service in a bundle can be provisioned by a different supplier. This paper proposes an ontology, e 3 service, that can be used to formally capture customer needs, services, and multi-supplier service bundles of these. In addition, this paper contributes a process called PCM 2 to reason with the ontology. First, a customer need is identified for which desired consequences are elicited. Then, the desired set of consequences is matched with consequences associated with services. The matching process results in a service bundle, satisfying the customer need, containing services that each can be provided by different suppliers. PCM 2 is inspired by a family of formal reasoning methods called Propose-Critique-Modify (PCM). However, whereas PCM methods emphasize solution generation from a given set of requirements, our reasoning process treats the space of requirements as a first class citizen. Hence PCM 2 : the requirements space and solution space are equally important. How the reasoning and matching process practically works, is illustrated by an industry strength case study in the healthcare domain. S. De Kinderen et al. / An ontology for needs-driven service bundling in a multi-supplier settingName resolution; but additional services, such as an email box, chat box, Voice over IP (VoIP), or Instant Messaging (IM) may be offered as well.Although many customers may deal with just one ISP to have all their Internet-related needs satisfied, this is not always strictly necessary or possible. The above-mentioned basic ISP services may each be provided in their own right, and so by different suppliers. For example, the customer may obtain raw bandwidth from supplier S 1 , IP connectivity and Domain Name resolution from supplier S 2 , and an email box from yet another supplier. Partnering enables suppliers to cooperate and satisfy complex customer needs they never could have done on their own in a flexible way. This phenomenon is increasingly observed in e-commerce settings, especially when small enterprises come into play (see e.g. Tapscott et al., 2000).Multi-supplier bundles often satisfy customer's need much better and cheaper, as opposed to a single supplier bundle. Moreover, fixed single supplier service offerings often contains unwanted services such as an ill-functioning spam filter of an email service with poor storage capabilities. Given this explosion of possible combinations, it is a technological challenge to provide automated support for composing the most optimal bundle in response to an individual's unique needs, and by doing so build long-term partnerships among ...

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Ontological Representation and Governance of Business Semantics in Compliant Service Networks

Abstract: For guidance on citations see FAQs.

Cited by 9 publications

References 28 publications

Service science facing Big Data

Service science facing Big Data

Lifecycle Business Process Compliance Management: A Semantically-Enabled Framework

e3service: An ontology for needs-driven real-world service bundling in a multi-supplier setting

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