100 Best Ontology Tutorial Videos


Notes:

An ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is used to define the structure and categories of information within a specific domain, in order to facilitate the understanding and communication of that information.

Ontologies are used in a variety of applications, including:

  1. Knowledge representation: Ontologies can be used to represent knowledge in a machine-readable format, allowing computers to understand and reason about the concepts and relationships defined within the ontology.
  2. Data integration: Ontologies can be used to facilitate the integration of data from multiple sources by providing a common language and structure for the data.
  3. Natural language processing: Ontologies can be used to help computers understand and process human language by providing a structured representation of the concepts and relationships within a given domain.
  4. Semantic search: Ontologies can be used to improve the accuracy and precision of search results by providing a structured representation of the concepts and relationships within a given domain.

Ontologies can be used in dialog systems to provide a structured representation of the concepts and relationships within a specific domain, which can be used to improve the accuracy and functionality of the system.

For example, an ontology could be used in a dialog system for a customer service application to represent the various products and services offered by the company, the characteristics of those products and services, and the relationships between them. The ontology could then be used to provide more accurate and relevant responses to customer queries by allowing the system to understand the meaning and context of the customer’s words and phrases.

Another way ontologies can be used in dialog systems is to provide a common structure and language for representing and exchanging information between different systems. This can be useful in cases where multiple dialog systems need to communicate with each other or with external databases or systems.

Resources:

Wikipedia:

References:

See also:

AIML & Ontologies | Automatic Ontology & Dialog Systems | Databases & Ontologies | Jena Ontology API | Natural Language & Ontologies | ODP (Ontology Design Patterns) | OntoBuilder | OntoGrate | Ontologies & Dialog Systems | Ontology Alignment & Dialog Systems | Ontology Builder | Ontology Engineering & Dialog Systems | Ontology Extraction Module | Ontology Extractor | Ontology In Dialog Systems | Ontology Learning & Dialog Systems | Ontology Parsers | Ontology Verbalization | Ontology-based QA Systems | Protégé Ontology Editor & Dialog Systems | Question Ontology | SUMO (Suggested Upper Merged Ontology) & Dialog Systems


[94x Nov 2017]