Ontology as a Tool for the IT Management Standards Support

Czarnecki, Adam; Orłowski, Cezary

doi:10.1007/978-3-642-13541-5_34

Cited by 12 publications

(3 citation statements)

References 3 publications

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“…Moreover, we chose to reuse TOGAF 9 ontology for three main reasons: first, TOGAF 9 ontology, developed in Knowledge-Projects 3 , is the most suitable terminological model that represents meta-data of TOGAF 9 artifacts. Second, it has been used in other research works in [93] and [94], to semantically manage and share enterprise architecture information and third, TOGAF 9 ontology meets some of main modeling needs that are expressed in the meta-model as the description of entities that describe Business Architecture Component (e.g., actor, organizational unit, objective, goal, and event). In our work, we used the OWL formal language in the specification of the TBox and in the generation of RDF [95] triples.…”

Section: Step 1: Identification Of Existing Ontologiesmentioning

confidence: 99%

Towards software reuse through an enterprise architecture-based software capability profile

Belfadel

Amdouni

Laval

et al. 2020

Enterprise Information Systems

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Most of today's software development projects depend on the usage of existing solutions to save time and development cost. We target in this research work the design of a software capability profile that provides a broader view of an organization's internal and external software, along with an exploitation model in line with requirements engineering and enterprise architecture to fill the gap between the goals of the stakeholders and what can be delivered as a practical solution. For this purpose, we define a Framework that offers a qualification that helps to gather the initial requirements that guided the development of existing software. This qualification is based on a proposed Enterprise Architecture Capability Profile and its associated ontology covering business, operational and technical aspects for serviceoriented software. Furthermore, an exploitation methodology is proposed and based on the alignment of requirements engineering with software architecting actions that evolve together, to investigate the highest compatibility of the desired functionalities. Our contribution aims to improve the reuse of existing services, by upgrading these technical components to the level of end-user's requirements for accelerating future business application development. An implementation and a case study are proposed to demonstrate the effectiveness of this approach.

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Section: Step 1: Identification Of Existing Ontologiesmentioning

confidence: 99%

Towards software reuse through an enterprise architecture-based software capability profile

Belfadel

Amdouni

Laval

et al. 2020

Enterprise Information Systems

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“…Also generic ontologies are used for creating models for policy-based regulations, which incorporate different domains like Food and Drug Administration (FDA), financial regulation, contracts and individuals conducting business (El Kharbili & Stolarski, 2009). The Open Group Architecture Framework (TOGAF) generic ontology contains knowledge about an enterprise based on four domains of business, data, application and technology (Czarnecki & Orłowski, 2010). CoBra ontology aids the pervasive computing environment where different intelligent agents with specific task exchange knowledge and cooperate to reach their goals (Chen et al, 2003).…”

Section: Generic Ontologiesmentioning

confidence: 99%

“…Similar to application ontology, Protégé is the most common tool used in the development of generic ontology (Czarnecki & Orłowski, 2010;Darmoul et al, 2011;Dutra et al, 2010;El-Subaihi et al, 2013;Marwat et al, 2014). The OWL language is also used in generic ontology development, because of its adoptability, decidability and efficiency (Dutra et al, 2010;Marwat et al, 2014).…”

Section: Generic Ontologiesmentioning

confidence: 99%

Towards knowledge modeling and manipulation technologies: A survey

Bimba

Al-Hunaiyyan

Mahmud

et al. 2016

International Journal of Information Management

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A system which represents knowledge is normally referred to as a knowledge based system (KBS). This article focuses on surveying publications related to knowledge base modelling and manipulation technologies, between the years 2000-2015. A total of 185 articles excluding the subject descriptive articles which are mentioned in the introductory parts, were evaluated in this survey. The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4) cognitive knowledge base. This led to the proposition of 8 research questions, which focused on the different categories of knowledge base modelling technologies, their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. A part of the findings from this survey is the high dependence of linguistic knowledge base, expert knowledge base and ontology on volatile expert knowledge. A promising technique for knowledge-based business management and other knowledge related applications is also discussed.

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