Extending business objects with business rules

Rouvellou, Isabelle; Degenaro, Lou; Rasmus, Kevin; Ehnebuske, Dave; McKee, Barbara

doi:10.1109/tools.2000.848765

Cited by 22 publications

(14 citation statements)

References 4 publications

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“…The following people use the business object model: Business-process analyst, Business designer, System analyst, Designer. [6], [7], Business Rule is a statement that defines or constrains some aspect of the business. This must be a term or fact, a constraint, or a derivation.…”

Section: Related Workmentioning

confidence: 99%

Web Service Business Policy Customization through Finite State Machine based Semantic Representation

Mekala.¹,

Prasad²,

Kavitha³

et al. 2014

IJCA

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This paper proposes a finite state machine (FSM) based approach for Web service business policy customization that can address two key challenges: automated policy detection and evaluation and dynamic web service deployment. We have applied this technique on insurance domain in order to customize insurance policies for various types of customers. The business process for the insurance domain are identified and represented as finite state machine then the corresponding web ontology file is generated from the FSM. The use of web ontology engine at runtime enables dynamic deployment of a business process as a result of a business policy customization associated with the web services. General TermsAlgorithms.

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Section: Related Workmentioning

confidence: 99%

Web Service Business Policy Customization through Finite State Machine based Semantic Representation

Mekala.¹,

Prasad²,

Kavitha³

et al. 2014

IJCA

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“…A data integration engine can be built in the Web service business process execution language WS-BPEL. In (Rosenberg and Dustdar, 2005), a business rule engine-based approach is introduced to separate the business logic from the executable WS-BPEL process, which demonstrates that one of our objectives can be achieved (Rouvellou et al, 2000). These rules, stored in a repository, can be used to dynamically create executable query and transformation programs using a consistency-guaranteeing connector or integration service as the mediator.…”

Section: Service-based Mediator Architecturesmentioning

confidence: 99%

Consistency and Modularity in Mediated Service-Based Data Integration Solutions

Zhu

Pahl

2011

Enterprise Information Systems

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ABSTRACT. A major aim of the Web service platform is the integration of existing software and information systems. Data integration is a central aspect in this context. Traditional techniques for information and data transformation are, however, not sufficient to provide flexible and automatable data integration solutions for Web service-enabled information systems. The difficulties arise from a high degree of complexity in data structures in many applications and from the additional problem of heterogeneity of data representation in applications that often cross organisational boundaries. We present an integration technique that embeds a declarative data transformation technique based on semantic data models as a mediator service into a Web service-oriented information system architecture. Automation through consistency-oriented semantic data models and flexibility through modular declarative data transformations are the key enablers of the approach.

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“…Eliciting business rules helps organizations understand their own operating environment [5]. From a database perspective, business rules dovetail with relational technology [6] as a database may be considered as a collection of propositions.…”

Section: Introductionmentioning

confidence: 99%