The Role of Foundational Ontologies for Domain Ontology Engineering

Author(s):  
Giancarlo Guizzardi ◽  
Fernanda Baião ◽  
Mauro Lopes ◽  
Ricardo Falbo

Ontologies are commonly used in computer science either as a reference model to support semantic interoperability, or as an artifact that should be efficiently represented to support tractable automated reasoning. This duality poses a tradeoff between expressivity and computational tractability that should be addressed in different phases of an ontology engineering process. The inadequate choice of a modeling language, disregarding the goal of each ontology engineering phase, can lead to serious problems in the deployment of the resulting model. This article discusses these issues by making use of an industrial case study in the domain of Oil and Gas. The authors make the differences between two different representations in this domain explicit, and highlight a number of concepts and ideas that were implicit in an original OWL-DL model and that became explicit by applying the methodological directives underlying an ontologically well-founded modeling language.

2020 ◽  
pp. 875697282097722
Author(s):  
Denise Chenger ◽  
Jaana Woiceshyn

The front end of projects is strategically important; yet, how project concepts are identified, evaluated, and selected at the pre-project stage is poorly understood. This article reports on an inductive multiple-case study of how executives made such decisions in major upstream oil and gas projects. The findings show that in such a high-risk context, often an experienced executive makes these decisions alone and he creates value by facilitating growth. We identified three value-creating decision processes that varied by the executives’ risk approach and decision context. These processes depart from the formal project management prescriptions and the strategic decision-making literature.


2017 ◽  
Vol 11 (3) ◽  
pp. 252-269 ◽  
Author(s):  
Michael E. Watson ◽  
Christina F. Rusnock ◽  
John M. Colombi ◽  
Michael E. Miller

The human user is important to consider during system design. However, common system design models, such as the system modeling language, typically represent human users and operators as external actors, rather than as internal to the system. This research presents a method for integrating human considerations into system models through human-centered design. A specific system is selected to serve as the case study for demonstrating the methodology. The sample system is analyzed to identify the task and information flow. Then, both system- and human-centered diagrams are separately created to represent different viewpoints of the system. These diagrams are compared and analyzed, and new diagrams are created that incorporate both system and human considerations into one concordant representation of the system model. These new views allow systems engineers and human factors engineers to effectively communicate the role of the user during early system design trades.


Author(s):  
Ye Wang ◽  
Ting Wang ◽  
Jie Sun

Inconsistent specification are an inevitable intermediate product of a service requirements engineering process. In order to reduce requirements inconsistencies, we propose PASER, a Pattern-based Approach to Service Requirements analysis. The PASER approach first extracts the process information from service documents via natural language processing (NLP) techniques, then uses a requirements modeling language – Workflow-Patterns-based Process Language (WPPL) — to build the process model. Finally, through matching with workflow patterns, the inconsistencies in service requirements are identified and resolved by checking against a set of checking rules. We have conducted a preliminary experiment to evaluate it. An ATM service case study is presented as a running example to illustrate our approach.


Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 476
Author(s):  
Ágnes Bárkányi ◽  
Tibor Chován ◽  
Sándor Németh ◽  
János Abonyi

The application of white box models in digital twins is often hindered by missing knowledge, uncertain information and computational difficulties. Our aim was to overview the difficulties and challenges regarding the modelling aspects of digital twin applications and to explore the fields where surrogate models can be utilised advantageously. In this sense, the paper discusses what types of surrogate models are suitable for different practical problems as well as introduces the appropriate techniques for building and using these models. A number of examples of digital twin applications from both continuous processes and discrete manufacturing are presented to underline the potentials of utilising surrogate models. The surrogate models and model-building methods are categorised according to the area of applications. The importance of keeping these models up to date through their whole model life cycle is also highlighted. An industrial case study is also presented to demonstrate the applicability of the concept.


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