AI 용어집
인공지능 완전 사전
Ontology Matching
Process of discovering correspondences between semantic entities of different ontologies to enable interoperability and integration of heterogeneous knowledge sources.
Triple Store
Specialized database optimized for storing and querying subject-predicate-object triples, which form the fundamental structure of knowledge graphs.
Fact Verification
Process of validating the truthfulness of a statement by comparing it with information contained in a structured knowledge base or reliable sources.
RDF Schema
Schema language for RDF providing a vocabulary for defining classes and properties, enabling the creation of hierarchies and constraints on knowledge graphs.
Resource Description Framework
Standard W3C data model for representing information about Web resources as triples, forming the basis of semantic knowledge graphs.
Question Answering over Knowledge Graphs
System specialized in converting natural language questions into executable queries on knowledge graphs to provide accurate factual answers.
Canonicalization
Process of normalizing entities and relationships in a knowledge base to eliminate duplicates and ensure semantic consistency of the graph.
Linked Data
Set of principles for publishing and interconnecting structured data on the Web using URIs, RDF, and HTTP, forming a global knowledge graph.