Ontology engineering step in design science research methodology: a technique to gather and reuse knowledge

Ostrowski, Łukasz; Helfert, Markus; Gama, Nelson

doi:10.1080/0144929x.2013.815276

Cited by 14 publications

(17 citation statements)

References 18 publications

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“…Our work highlights the idea that "Artifacts must be proved upon existing solution to a problem or perhaps provide a first solution to an important problem" [17]. Among the methodologies studied, Method 101 helps ontology building the proposed system ( [18] and [19]). According to the study [20] there are a variety of tools that support ontology development process activities.…”

Section: Modelling Decisionsmentioning

confidence: 99%

Using the Semantic Web in Academic Websites

Mocean¹

2020

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One of the important activities in the academic environment is student orientation, professional counselling and work with students, as well as interaction with them. This collaboration becomes a feature of the professionalism of the management team as well as of the knowledge and abilities of its members. This activity is based on the information system on which it relies and so, becomes essential. A semantic Student Administration System can help university managers, teachers, students and administrative staff to integrate information into the higher education organization. This asset can be part of a strategy to improve students' management to meet the nowadays challenges and requirements for data integration. The paper motivates and presents an ontology adapted to the needs of educational data management. This new semantic web-based system helps students and members of the university management team. The presented paper describes the components and architecture of the system that underlie its implementation in a real platform and proposes an early stage ontology design for the area of application presented.

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Section: Modelling Decisionsmentioning

confidence: 99%

Using the Semantic Web in Academic Websites

Mocean¹

2020

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“…Many knowledge regarding DSR has been developed in other research areas, such as architecture and engineering disciplines. Some examples of recent studies have been done in the social domain [16], as well as in the engineering domain, with specific focus on requirements engineering [17], ontology engineering [18], and production engineering [19].…”

Section: Design Science and Multidisciplinary Researchmentioning

confidence: 99%

Situating Case Studies Within the Design Science Research Paradigm: An Instantiation for Collaborative Networks

Costa

Soares

Sousa

2016

Collaboration in a Hyperconnected World

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A rigorous evaluation of an artifact is one of the fundamental aspects to be considered in Design Science Research projects. This evaluation part becomes even more difficult when a large variety of artifacts must be designed for a project. This can be a challenge for the field of Collaborative Networks, which involves knowledge from several scientific disciplines. Case studies are one of the evaluation methods in Design Science Research that are used for an ex-post evaluation of artifacts. However, we argue that this method can also be used for the ex-ante evaluation, mainly when multidisciplinary research is being carried out. Therefore, the main objective of this paper is to present and discuss a multidisciplinary project of Collaborative Networks using case studies before and after the design of the artifacts. On top of the Design Science Research guidelines, this research is supported by knowledge from Business and Management Studies on how to effectively design and perform Case Study Research for artifact evaluation.

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“…Analysis and Design phases of software development life cycle (SDLC) works in close conjunction with design science research methodologies and share the same goal of meeting technical requirements and business needs. It does so by creating artificial systems by building and evaluating artifacts [42].…”

Section: Security In Software Engineering and In Design Sciencementioning

confidence: 99%

“…Design science research process is iterative in nature which allows an artifact to emerge and opportunistically evolve as a solution or innovation. These artifacts include, and are not limited to, algorithms, methods [56], constructs, instantiations, models [42], human/computer interfaces, languages or notations, system designs, patterns, guidelines, requirements, and metrics, etc. [56].…”

Section: Security In Software Engineering and In Design Sciencementioning

confidence: 99%

Software Engineering Principles and Security Vulnerabilities

Rastogi

Nygard

EPiC Series in Computing

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Software Engineering principles have connections with design science, including cybersecurity concerns pertaining to vulnerabilities, trust and reputation. The work of this paper surveys, identifies, establishes and explores these connections. Identification and addressing of security issues and concerns during the early phases of software development life cycle, especially during the requirements analysis and design phases; and importance of inclusion of security requirements have also been illustrated. In addition to that, effective and efficient strategies and techniques to prevent, mitigate and remediate security vulnerabilities by the application of the principles of trust modelling and design science research methodology have also been presented.

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Ontology engineering step in design science research methodology: a technique to gather and reuse knowledge

Cited by 14 publications

References 18 publications

Using the Semantic Web in Academic Websites

Using the Semantic Web in Academic Websites

Situating Case Studies Within the Design Science Research Paradigm: An Instantiation for Collaborative Networks

Software Engineering Principles and Security Vulnerabilities

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