OntoCAPE—A (re)usable ontology for computer-aided process engineering

Morbach, Jan; Wiesner, Andreas; Marquardt, Wolfgang

doi:10.1016/j.compchemeng.2009.01.019

Cited by 116 publications

(86 citation statements)

References 22 publications

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“…-Ontologies enable engineers and stakeholders to independently develop partial descriptions of the same artifact, i.e., product, plant, or process, and check consistency when the descriptions are combined. Except when it is explicitly stated [22,71], it is unclear whether all the researchers have considered the open world assumption. The open world assumption 3) [74] implies that information is always assumed to be incomplete.…”

Section: Discussionmentioning

confidence: 99%

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Ontologies in Process Systems Engineering

Batres

2017

Chemie Ingenieur Technik

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An overview of the use of ontologies in process systems engineering, which has increased continuously since the early 1990s, is presented. Ontologies have formal semantics that can be exploited when part of the information is missing, enabling engineers and stakeholders to independently develop partial descriptions of the same artifact (product, plant, or process) and check consistency when the descriptions are combined. Likewise, ontologies are useful for generating new conclusions from existing data. Because of their intrinsic foundation in mathematical logic, ontologies provide the structure and semantics for validating information.

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Section: Discussionmentioning

confidence: 99%

“…In the process systems engineering domain, Morbach et al [71] described how the principles of coherence, conciseness, intelligibility, adaptability, minimal ontological commitment, and efficiency can be used to design a process engineering ontology that is easy to customize, reuse, and extend.…”

Section: Ontology Developmentmentioning

confidence: 99%

Ontologies in Process Systems Engineering

Batres

2017

Chemie Ingenieur Technik

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“…For example, Hailemarian et al (2008) reported the development of ontologies for predicting chemical reactions of drug compounds as an approach for identifying potential reactions between a drug and the excipients and among the excipients that accompany the product. In another related effort, Morbach et al (2009) described how the principles of coherence, conciseness, intelligibility, adaptability, minimal ontological commitment, and efficiency can be used to design a process engineering ontology that is easy to customize, reuse, and extend.…”

Section: Introductionmentioning

confidence: 99%

A Formal Concept Analysis-Based Method for Developing Process Ontologies

Batres

Akmal

2013

J. Chem. Eng. Japan

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This paper addresses ontologies of intentional and unintentional processes. Specifically, a methodology for developing processes ontologies is described. Typically, domain ontologies are developed in an ad-hoc fashion, without the reasons and justifications of the class structure. To resolve this issue, we propose a methodology based on Formal Concept Analysis (FCA) as a way to assist the development of a domain ontology. FCA is an analysis technique for knowledge processing based on applied lattice and order theory. The methodology is illustrated with the development of an explosion ontology. Introduction 1Typical chemical engineering textbooks define a process as "an operation or a series of operations" that "cause a physical or chemical change in a substance or mixture of substances" (Felder and Rousseau, 2000). Textbooks also explain that processes commonly have several steps, each of which represents a specific physical or chemical change. Such definitions assume that during the realization of a process, a particular objective is accomplished. In other words, according to these definitions, a process has a design intention.However, unintentional phenomena are also of concern to chemical engineers. For example, explosions (such as those that result in property damage) may happen as a result of an abnormal situation rather than a well-designed series of steps. Despite differences related to whether an objective is involved or not, both intentional and unintentional processes share the ability to transform material or energy through one or more changes. This paper addresses both kinds of processes. Specifically, a methodology for developing processes ontologies is described.Ontologies are models based on logic that define the structure of knowledge in terms of classes (types) and subclasses (subtypes) of things and their relations. One of the advantages of ontologies is that they can be processed by knowledge reasoning algorithms so that hidden relations between things can be discovered. In other words, ontologies are useful for generating new conclusions from existing data. In addition, since they have an intrinsic foundation in mathematical logic, ontologies provide the structure and semantics needed for validating information.Several efforts have been reported on the use of ontologies in chemical engineering. For example,

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“…They include OntoCAPE, which is a formal, heavyweight ontology for the domain of (chemical) process engineering. In the chemical domain, the design, construction, and operation of chemical plants are considered the major engineering activities (Bayer & Marquardt, 2004;Morbach, Yang, & Marquardt, 2007;Morbach, Wiesner, & Marquardt, 2009). Another well-known ontology is ontological informatics infrastructure for pharmaceutical product development and manufacturing (POPE), which is an informatics framework in the pharmaceutical product development domain, to support decision-making in the entire process, including drug formulation design, process simulation and process safety analysis for the active pharmaceutical ingredient process, as well as drug product development (Venkatasubramanian et al, 2008;Zhao et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Towards an ontological infrastructure for chemical batch process management

Muñoz¹,

Kopanos²,

Espuña³

et al. 2009

Computer Aided Chemical Engineering

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a b s t r a c t A crucial step for batch process improvement and optimization is to develop information structures that streamline data gathering and, above all, are capable of integrating transactional data into a system using the analytical tools that are developed. Current trends in electronics, computer science, artificial intelligence and control system technology are providing technical capability that greatly facilitates the development of multilevel decision-making support. In this paper, we present the batch process ontology (BaPrOn), wherein different concepts regarding batch processes are categorized and the relationships between them are examined and structured in accordance with ANSI/ISA-88 standards, which provide a solid and transparent framework for integrating batch-related information. This paper also focuses on systematic integration of different actors within the control process. The proposed approach bases the conceptualization through the ANSI/ISA-88 representation, providing the advantage of establishing a more general conceptualization of the batch process domain. The capabilities of the envisaged ontological framework were assessed in a test bed PROCEL pilot plant: scheduling-monitoring and control-rescheduling was closed, information quality was accessed by knowledge description, and an optimum decision-making task was performed. The ontological structure can be extended in the future to incorporate other hierarchical levels and their respective modeling knowledge.

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OntoCAPE—A (re)usable ontology for computer-aided process engineering

Cited by 116 publications

References 22 publications

Ontologies in Process Systems Engineering

Ontologies in Process Systems Engineering

A Formal Concept Analysis-Based Method for Developing Process Ontologies

Towards an ontological infrastructure for chemical batch process management

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