Abstract
Technology domains such as engineering evolve at a fast pace. To keep up to date with such domains, there is a need for researchers and practitioners to effectively and efficiently manage that knowledge. To address the challenge, this work proposes mapping out relevant know-how that is more accessible so all stakeholders can contribute. During the last decade, we have adopted the design science approach to develop a goal-oriented knowledge mapping approach calledME-MAP. We define the syntax and semantics of the language to facilitate the construction of maps and the reasoning on such maps. A series of evaluations indicated that the maps produced were easy to follow, allowed continuous evolution, facilitated easy modification through modularity capabilities, further supported reasoning about know-how, provided adequate expressiveness, and enabled searching know-how. We believe that such a knowledge mapping approach can further improve resource (knowledge) utilization, reduce “reinventing the wheel” phenomena, and further create links across communities.
Original language | American English |
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Title of host publication | Social Modeling Using the i* Framework |
Publisher | Springer Nature |
Pages | 45-61 |
Number of pages | 17 |
ISBN (Electronic) | 9783031721076 |
ISBN (Print) | 9783031721069 |
DOIs | |
State | Published - 1 Jan 2024 |
All Science Journal Classification (ASJC) codes
- General Computer Science