The role of assumptions in knowledge engineering
| Autor: | Dieter Fensel, V. Richard Benjamins |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
business.industry
Computer science Process (engineering) Knowledge engineering computer.software_genre Knowledge acquisition Data science Expert system Theoretical Computer Science Human-Computer Interaction Knowledge-based systems Knowledge extraction Knowledge base Artificial Intelligence Domain knowledge Artificial intelligence business computer Software |
| Zdroj: | International Journal of Intelligent Systems. 13:715-747 |
| ISSN: | 1098-111X 0884-8173 |
| DOI: | 10.1002/(sici)1098-111x(199808)13:8<715::aid-int2>3.0.co;2-m |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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