KNOWLEDGE BASE INTELLIGENT SYSTEM
The process of encoding information about the world into a format that an intelligent system can understand and use for reasoning.
KNOWLEDGE REPRESENTATION
A formal framework that organizes and defines the relationships between concepts within a specific domain, allowing for knowledge sharing and reuse.
ONTOLOGY
A graph structure used to represent knowledge in nodes (concepts) connected by edges (relationships), often used in knowledge-based systems.
SEMANTIC NETWORK
A data structure used to represent stereotypical situations, containing slots (attributes) and values that describe an object or scenario.
FRAME
The process of gathering, structuring, and converting knowledge from various sources (e.g., experts, documents) into a format usable by a knowledge base.
KNOWLEDGE ACQUISITION
A pattern-matching algorithm that efficiently processes a large set of rules by minimizing the number of times facts are tested against rules.
RETE ALGORITHM
A formalism for knowledge representation that uses graphs to express relationships between concepts in a structured way.
CONCEPTUAL GRAPH
A problem-solving model where different specialized subsystems (knowledge sources) contribute incrementally to a shared workspace (blackboard) to solve complex problems.
BLACKBOARD ARCHITECTURE
allows the system to reason about information that is uncertain or imprecise, providing a way to make decisions based on degrees of truth rather than binary logic.
FUZZY LOGIC
A system that uses a knowledge base, combined with inference mechanisms, to solve complex problems by simulating human reasoning and decision-making processes.
KNOWLEDGE BASE INTELLIGENT SYSTEM (KBIS)
A method in knowledge-based systems where new problems are solved by retrieving and adapting solutions from similar past cases stored in the knowledge base.
Case-Based Reasoning
The process of ensuring that the knowledge contained in a knowledge base is accurate, consistent, and applicable to the intended domain.
KNOWLEDGE VALIDATION
A system designed to facilitate the creation, distribution, and application of knowledge within an organization, often leveraging AI to enhance efficiency.
Knowledge Management System (KMS)
It enables a knowledge-based system to interact with users in natural language, allowing for easier input and interpretation of unstructured data.
Natural Language Processing (NLP)
A professional who specializes in designing, building, and maintaining knowledge bases, ensuring that they are accurate, up-to-date, and effective in problem-solving.
KNOWLEDGE ENGINEER
A software tool that assists in the creation, modification, and maintenance of ontologies, providing a user-friendly interface for knowledge engineers.
Ontology Editor
Knowledge that can be explicitly stated or described, such as facts and information, often stored in the knowledge base as simple assertions.
Declarative Knowledge
Knowledge that involves knowing how to perform tasks and procedures, typically encoded in the form of rules or sequences of actions within a knowledge-based system.
PROCEDURAL KNOWLEDGE
This project is a long-term AI initiative aimed at developing a comprehensive ontology and knowledge base that captures common-sense knowledge of the world.
CYC project
A language designed for the exchange of knowledge between different knowledge-based systems, providing a standard way to represent complex information.
Knowledge Interchange Format (KIF)
Knowledge about knowledge itself, such as understanding the structure, constraints, and limitations of the knowledge within a knowledge base.
Meta-knowledge