Verbalization for Business Rules and Two Flavors of Verbalization for Fact Examples

Nijssen, Maurice; Lemmens, Inge

doi:10.1007/978-3-540-88875-8_100

Cited by 15 publications

(2 citation statements)

References 8 publications

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“…Several fact modelling methods exist, such as Object Role Modeling (ORM) [1], CogNIAM [8], and Fully Communication Oriented Information Modeling (FCO-IM) [9]. The ORM method offers both a method (the Conceptual Schema Design Procedure) and a software tool called Natural ORM Architect [2], an open-source plugin to the development environment Visual Studio Community Edition.…”

Section: Introductionmentioning

confidence: 99%

Applying innovative IT modelling methods to low-level grid information for DSO operations

Veen¹,

Wijbenga²,

Kamphuis³

2015

2015 IEEE Eindhoven PowerTech

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Distribution system operators will gather an increasing amount of electricity data from the lower level of the grid to be able to cope with several challenges, such as an increase of distributed, heterogeneous energy production, local storage, and electric vehicles. Most DSOs are not yet prepared for collecting, storing and processing these large amounts of data. This paper introduces a method for designing, validating and implementing such a system. The most important aspect of this method is the fact that the domain expert is able to validate the constructed conceptual model, before it is used to create a working system. This validation step adds to the quality of the model, and therefore to the resulting system. We have applied our method to a use case where a DSO researcher wants to answer questions such as "Can we recognize which appliances are present in households?" and "How can we cluster similar households?".

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Section: Introductionmentioning

confidence: 99%

Applying innovative IT modelling methods to low-level grid information for DSO operations

Veen¹,

Wijbenga²,

Kamphuis³

2015

2015 IEEE Eindhoven PowerTech

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show abstract

“…Fact-oriented modeling includes other closely related approaches, such as Fully-Communication Oriented Information Modeling (FCO-IM) (Bakema & Zwart, 2000), and the Semantics of Business Vocabulary and Business Rules (SBVR) approach (Bollen 2008;OMG, 2008). Recently, the original NIAM was modified to become Cognition-enhanced NIAM (CogNIAM) (Nijssen & Lemmens, 2008), and ORM was extended to second generation ORM (ORM 2) (Halpin, 2005).…”

Section: Introductionmentioning

confidence: 99%

Object-Role Modeling

Halpin

2010

International Journal of Information System Modeling and Design

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Object-Role Modeling (ORM) is an approach for modeling and querying information at the conceptual level, and for transforming ORM models and queries to or from other representations. Unlike attribute-based approaches such as Entity-Relationship (ER) modeling and class modeling within the Unified Modeling Language (UML), ORM is fact-oriented, where all facts and rules are modeled in terms of natural sentences easily understood and validated by nontechnical business users. ORM’s modeling procedure facilitates validation by verbalization and population with concrete examples. ORM’s graphical notation is far more expressive than that of ER diagrams or UML class diagrams, and its attribute-free nature makes it more stable and adaptable to changing business requirements. This article explains the fundamentals of ORM, illustrates some of its advantages as a data modeling approach, and outlines some recent research to extend ORM, with special attention to mappings to deductive databases.

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A Conceptual Model of the Blockchain

Bollen

2020

On the Move to Meaningful Internet Systems: OTM 2019 Workshops

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Verbalization for Business Rules and Two Flavors of Verbalization for Fact Examples

Cited by 15 publications

References 8 publications

Applying innovative IT modelling methods to low-level grid information for DSO operations

Applying innovative IT modelling methods to low-level grid information for DSO operations

Object-Role Modeling

A Conceptual Model of the Blockchain

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