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Knowledge Engineering

Apr 30, 2024, 2 min read

Knowledge Engineering

Group: 4 #group-4

Relations

  • Knowledge Management: Knowledge Management is a related field that deals with the creation, sharing, and utilization of knowledge within organizations, which can involve Knowledge Engineering techniques.
  • Reasoning: Reasoning is a core aspect of Knowledge Engineering, which involves the ability to draw inferences and make logical conclusions based on the represented knowledge.
  • Ontology: Ontology development is a key activity in knowledge engineering
  • Artificial Intelligence: Knowledge Engineering is a subfield of Artificial Intelligence that deals with the construction of knowledge-based systems.
  • Ontology Engineering: Ontology Engineering is a branch of Knowledge Engineering that focuses on the construction and maintenance of ontologies, which are formal representations of knowledge in a particular domain.
  • Knowledge Representation: Knowledge Representation is a fundamental aspect of Knowledge Engineering, which deals with how knowledge is formally represented and reasoned with.
  • Natural Language Processing: Natural Language Processing techniques are often used in Knowledge Engineering for knowledge acquisition, knowledge extraction, and knowledge representation from natural language sources.
  • Expert Systems: Expert Systems are a type of knowledge-based system that are developed using Knowledge Engineering techniques to capture and reason with the knowledge of human experts.
  • Machine Learning: Machine Learning techniques can be used in Knowledge Engineering for knowledge discovery, knowledge extraction, and knowledge integration from data sources.
  • Knowledge Bases: Knowledge engineering is the process of designing and building knowledge bases.
  • Knowledge Acquisition: Knowledge Acquisition is the process of extracting, structuring, and transferring knowledge from various sources into a knowledge-based system, which is a key part of Knowledge Engineering.
  • Knowledge Bases: Knowledge Bases are the repositories where the knowledge acquired and represented through Knowledge Engineering techniques is stored and managed.

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