A Controlled Natural Language Editor for Semantic of Business Vocabulary and Rules

  • Carlos Eugênio P. da Purificação
  • Paulo Caetano da Silva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 738)

Abstract

Defining system business models and rules using conceptual schemas is not an easy task. The Object Management Group’s standard SBVR—Semantics of Business Vocabulary and Rules, define semantics for expressing business focused vocabularies and rules. It is based on a meta-model with roots on formal first-order logic. In order to create valid business vocabulary and rules, based on this standard, business analysts need tools that can facilitate modeling efforts using the standard. In this work, we contribute with a proposed tool that would allow business analyst designers to define the keywords that represent each of the Logical Formulation Concepts in the SBVR Meta-model. Therefore, this approach would enable the creation of Controlled Natural Language Libraries based on the SBVR meta-model that can be dynamically included in SBVR Modeling projects. These Language Libraries can then be used to model business rules and vocabularies in the tool. As a result, one can support multiple controlled natural languages and represent the SBVR metamodel using the tool. Examples of different controlled natural languages using the proposed SBVR editor tool are provided.

Keywords

Business rules editor Semantic of business rules and vocabulary Business rule editing Controlled natural languages 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Carlos Eugênio P. da Purificação
    • 1
  • Paulo Caetano da Silva
    • 1
  1. 1.Universidade Salvador (UNIFACS)SalvadorBrazil

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