التفاصيل البيبلوغرافية
| العنوان: |
Design objectives for evolvable knowledge graphs |
| المؤلفون: |
Teern, A. (Anna), Kelanti, M. (Markus), Päivärinta, T. (Tero), Karaila, M. (Mika) |
| بيانات النشر: |
Riga Technical University |
| سنة النشر: |
2023 |
| المجموعة: |
Jultika - University of Oulu repository / Oulun yliopiston julkaisuarkisto |
| مصطلحات موضوعية: |
Design Science Research, Knowledge Engineering, Knowledge Graph, Learning System, Semantic Web |
| الوصف: |
Knowledge graphs (KGs) structure knowledge to enable the development of intelligent systems across several application domains. In industrial maintenance, comprehensive knowledge of the factory, machinery, and components is indispensable. This study defines the objectives for evolvable KGs, building upon our prior research, where we initially identified the problem in industrial maintenance. Our contributions include two main aspects: firstly, the categorization of learning within the KG construction process and the identification of design objectives for the KG process focusing on supporting industrial maintenance. The categorization highlights the specific requirements for KG design, emphasizing the importance of planning for maintenance and reuse. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| الإتاحة: |
http://urn.fi/urn:nbn:fi-fe20231114146539Test |
| حقوق: |
info:eu-repo/semantics/openAccess ; © 2023 Anna Teern, Markus Kelanti, Tero Päivärinta, and Mika Karaila. This is an open access article licensed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0Test). ; https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.BCAA1E85 |
| قاعدة البيانات: |
BASE |
