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An ontology is a formal representation of a set of concepts and relationships within a specific domain of knowledge. It is typically used to define and classify the terms and concepts used within that domain, as well as to specify the relationships between those concepts. Ontologies are often used in artificial intelligence and natural language processing (NLP) systems to facilitate the interpretation and understanding of human language and to provide a common vocabulary and framework for communication.
In dialog systems, ontologies can be used to help the system understand and interpret user input and generate appropriate responses. For example, an ontology might define a set of concepts and relationships related to a specific domain, such as travel or finance, and the dialog system could use that ontology to understand and respond to user queries and requests within that domain. By using an ontology, the dialog system can more accurately interpret and respond to user input and provide relevant and accurate information.
Ontologies can be created manually or automatically, and can be represented using a variety of formats, such as RDF (Resource Description Framework) or OWL (Web Ontology Language). They can be used in a wide range of applications, including natural language generation, information retrieval, and semantic search.
Wikipedia:
See also:
AIML & Ontologies | Automatic Ontology & Dialog Systems | Databases & Ontologies | Jena Ontology API | Knowledge-Driven Multimedia Information Extraction and Ontology Evolution | Natural Language & Ontologies | ODP (Ontology Design Patterns) | Ontologies & Dialog Systems | Ontology Alignment & Dialog Systems | Ontology Builder | Ontology Extraction Module | Ontology Extractor | Ontology Parsers | Ontology-based QA Systems | Protégé Ontology Editor & Dialog Systems | SUMO (Suggested Upper Merged Ontology) & Dialog Systems
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Popularity: [ 2002 – 2012 ]
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