Ontology computer science pdf

  • How to do ontology?

    Tips for Creating an Ontology

    1. Determine the domain and scope of the ontology
    2. Consider reusing existing ontologies
    3. Enumerate important terms
    4. Define the classes & class hierarchy
    5. Define the properties of classes
    6. Define the facets of the slots
    7. Create instances

  • What is ontology in computer science PDF?

    In computer science, ontology is a formal representation of the knowledge by a set of concepts within a domain and the relationships between those concepts.
    It is used to reason about the properties of that domain and may be used to describe the domain..

  • What is ontology PDF?

    “An ontology is a formal, explicit specification of a shared conceptualization.” Entity denotes the most general being, and, thus, subsumes subjects, objects, processes, ideas, etc..

  • Why do we use ontologies?

    It ensures a common understanding of information and makes explicit domain assumptions thus allowing organizations to make better sense of their data.
    An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them..

  • Why is ontology important in computer science?

    Key Applications
    The key role of ontologies with respect to database systems is to specify a data modeling representation at a level of abstraction above specific database designs (logical or physical), so that data can be exported, translated, queried, and unified across independently developed systems and services..

  • One of the benefits of ontology learning is that it can help machines to better understand the meaning of text.
    This is because ontologies can provide a structure for representing knowledge, which can make it easier for machines to reason about the information in text.
  • “An ontology is a formal, explicit specification of a shared conceptualization.” Entity denotes the most general being, and, thus, subsumes subjects, objects, processes, ideas, etc.
Ontologies have been used in different areas of computer science, such as artificial intelligence, knowledge representation, natural language processing,.

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