Article563: Unterschied zwischen den Versionen
K (Added from ontology) |
K (Added from ontology) |
||
Zeile 1: | Zeile 1: | ||
+ | {{Publikation Author | ||
+ | |Rank=1 | ||
+ | |Author=Dieter Fensel | ||
+ | }} | ||
{{Publikation Author | {{Publikation Author | ||
|Rank=2 | |Rank=2 | ||
|Author=Richard Benjamins | |Author=Richard Benjamins | ||
− | |||
− | |||
− | |||
− | |||
}} | }} | ||
{{Article | {{Article | ||
Zeile 19: | Zeile 19: | ||
|Abstract=Problem-solving methods are means to describe the inference process of knowledge-based systems. During the last years, a number of these problem-solving methods have been identified that can be reused for building new systems. However, problem-solving methods require specific types of domain knowledge and introduce specific restrictions on the tasks that can be solved by them. These requirements and restrictions are assumptions that play a key role in reusing problem-solving methods, in acquiring domain knowledge, and in defining the problem that can be tackled by the knowledge-based systems. In the paper, we discuss the different roles, assumptions play in the development process of knowledge-based systems and provide a survey of assumptions used by diagnostic problem solving. We show how such assumptions introduce target and bias for goal-driven machine learning and knowledge discovery techniques. | |Abstract=Problem-solving methods are means to describe the inference process of knowledge-based systems. During the last years, a number of these problem-solving methods have been identified that can be reused for building new systems. However, problem-solving methods require specific types of domain knowledge and introduce specific restrictions on the tasks that can be solved by them. These requirements and restrictions are assumptions that play a key role in reusing problem-solving methods, in acquiring domain knowledge, and in defining the problem that can be tackled by the knowledge-based systems. In the paper, we discuss the different roles, assumptions play in the development process of knowledge-based systems and provide a survey of assumptions used by diagnostic problem solving. We show how such assumptions introduce target and bias for goal-driven machine learning and knowledge discovery techniques. | ||
|VG Wort-Seiten= | |VG Wort-Seiten= | ||
− | |Download=1998_563_Fensel_The_Role_of_Ass_1.pdf, | + | |Download=1998_563_Fensel_The_Role_of_Ass_1.pdf, 1998_563_Fensel_The_Role_of_Ass_1.ps |
|Projekt= | |Projekt= | ||
|Forschungsgruppe= | |Forschungsgruppe= |
Version vom 15. August 2009, 22:09 Uhr
The Role of Assumptions in Knowledge Engineering
The Role of Assumptions in Knowledge Engineering
Veröffentlicht: 1998
Journal: International Journal on Intelligent Systems (IJIS)
Nummer: 8
Seiten: 715-748
Volume: 13
Referierte Veröffentlichung
Kurzfassung
Problem-solving methods are means to describe the inference process of knowledge-based systems. During the last years, a number of these problem-solving methods have been identified that can be reused for building new systems. However, problem-solving methods require specific types of domain knowledge and introduce specific restrictions on the tasks that can be solved by them. These requirements and restrictions are assumptions that play a key role in reusing problem-solving methods, in acquiring domain knowledge, and in defining the problem that can be tackled by the knowledge-based systems. In the paper, we discuss the different roles, assumptions play in the development process of knowledge-based systems and provide a survey of assumptions used by diagnostic problem solving. We show how such assumptions introduce target and bias for goal-driven machine learning and knowledge discovery techniques.
Download: Media:1998_563_Fensel_The_Role_of_Ass_1.pdf,Media:1998_563_Fensel_The_Role_of_Ass_1.ps