Knowledge engineering
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- AI Fundamentals: Knowledge Representation and Reasoning
- I .. ·R .. C. Puo.Box 6, Enschede
- Research Challenges and Opportunities in Knowledge Representation
- Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives
- Methodologies and Technologies for Rule-Based Systems Design and Implementation
- Knowledge Engineering the Applied Side Ofartificial Intelligence
- A Method of Ontology Integration for Designing Intelligent Problem Solvers
- Knowledge Engineering and Data Mining
- Knowledge Engineering
- Rhetorical Structure Theory: Looking Back and Moving Ahead
- The Annotation of the Central Unit in Rhetorical Structure Trees: a Key Step in Annotating Rhetorical Relations
- The Efficacy of Personal Knowledge Bases for Materializing Mental Impressions Written by Stephen C
- An Inference Strategy for Knowledge Units
- Closing Information Gaps with Need-Driven Knowledge Sharing
- "Ontology Development 101: a Guide to Creating Your First
- The Double Role of Ontologies in Information Science Research," Journal of the American Society for Information Science and Technology, 58(6), Pp
- New Directions for Knowledge Representation on the Semantic Web
- A Knowledge Management System for Exchanging and Creating Knowledge in Organic Farming Vincent Soulignac, J.L