What Is an Ontology?

Guarino, Nicola; Oberle, Daniel; Staab, Steffen

doi:10.1007/978-3-540-92673-3_0

Cited by 822 publications

(411 citation statements)

References 9 publications

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“…Although the two companies seem to adopt the same terminology, they do not share the same meaning, and their information exchange may lead to serious mistakes when talking about products, transport means and their mutual relationships. In this case, the so-called false agreement problem (Guarino et al, 2009, Guizzardi 2005 arises, in which the same terminology is adopted, but with different meaning.…”

Section: Motivationmentioning

confidence: 99%

“…The term ontology has been used in many different ways in the literature (Borst 1997, Gruber 1993, Guarino 1998, Guarino et al, 2009, Guizzardi 2005, Studer et al, 1998, Uschold et al, 1996, so in this section we characterize ontologies for the purpose of this work.…”

Section: Ontologiesmentioning

confidence: 99%

“…According to its original meaning in Philosophy, an ontology concerns the study of being or existence (Gruber 1993, Guarino et al, 2009, so it concerns things that exist in the real world. In our work, we use ontologies to capture mental images of the real world, the so-called conceptualizations.…”

Section: Ontologiesmentioning

confidence: 99%

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An Ontological Approach to Logistics

Daniele

Pires

2013

Enterprise Interoperability

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Section: Motivationmentioning

confidence: 99%

Section: Ontologiesmentioning

confidence: 99%

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An Ontological Approach to Logistics

Daniele

Pires

2013

Enterprise Interoperability

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“…The metamodel is the model of the modeling language itself, it defines a set of modeling artifacts and the valid usage of these artifacts [31]. Domain ontologies are machine readable representations of the concepts in the application domain and the relations among those concepts [32]. In order to externalize the information of a particular model:…”

Section: Combining Metamodels and Ontologies For Model Reconciliationmentioning

confidence: 99%

Using Metamodels and Ontologies for Enterprise Model Reconciliation

Haoum

Hahn

2013

Lecture Notes in Business Information Processing

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Abstract. Modeling the enterprise from different views, at different levels of abstraction, and in different modeling languages yields a variety of models. Oftentimes the models referring to the same subject exist independently of each other and their semantic relations are hard to discover or to analyze. This fact hinders the effective exploitation of enterprise models for the purpose of integration and interoperability. The method proposed in this paper is based on semantic annotations and aims for the externalization and machine readability of the model contained information. This assures the accessibility for further automatic processing and facilitates the discovery and analysis of inter-model relations.Keywords: enterprise modeling, semantic annotation, model reconciliation, inter-model relations. IntroductionIn today's economy enterprises operate in a fast changing environment and their competitiveness heavily depends on their ability to quickly respond to these changes in an adequate manner. In this context, decision makers use enterprise models as a means to master this complexity. Depending on the focus in a particular case, models allow to take a certain view and abstraction on the enterprise and concentrate on the goals, processes, structures, competencies, etc. Further, particular models can be broken down into more detailed sub-models. Overall, this yields a "collection of more or less interrelated, special-purpose models" [1]. In contrast to modeling activities known from the field of operations research, business process (re-)engineering, organizational design etc., enterprise modeling accounts for the "need to focus on enterprises as a whole, or at least on a larger set of interacting components, within organization -taking a more 'total systems' approach" [2]. According to [3] the main motivations for enterprise modeling are:• The possibility to analyze the enterprise, in order to gain a better understanding and to enable the management of system complexity.• Explicit documentation of enterprise knowledge (know-what, know-how, and know-why).

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“…In [18], an ontology is defined as a formal, explicit specification of a shared conceptualization. In this paper we concentrate more on the ontology technologies usable for DSL design and use.…”

Section: Modeling Approachmentioning

confidence: 99%

An ontology-based framework for domain-specific modeling

Walter¹,

Parreiras²,

Staab³

2012

Softw Syst Model

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Domain-specific languages (DSLs) provide abstractions and notations for better understanding and easier modeling of applications in a special domain. Current shortcomings of DSLs include learning curve and formal semantics. This paper reports on a framework that allows the use of ontology technologies to describe and reason on DSLs. The formal semantics of OWL together with reasoning services allows for addressing constraint definition, progressive evaluation, suggestions, and debugging. The approach integrates existing metamodels and concrete syntaxes in a new technical space. A scenario in which domain models for network devices are created illustrates the framework.

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What Is an Ontology?

Cited by 822 publications

References 9 publications

An Ontological Approach to Logistics

An Ontological Approach to Logistics

Using Metamodels and Ontologies for Enterprise Model Reconciliation

An ontology-based framework for domain-specific modeling

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