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Saturday, September 15, 2012

What are the issues in knowledge representation?


The fundamental goal of Knowledge Representation is to facilitate inferencing (conclusions) from knowledge. The issues that arise while using  KR techniques are many. Some of these are explained below.

·    Important Attributes : Any attribute of objects so basic that they occur in almost every problem domain ?

·        Relationship among attributes: Any important relationship that exists among object attributes ?

·   Choosing Granularity : At what level of detail should the knowledge be represented ?

·        Set of objects : How sets of objects be represented ?

·  Finding Right structure : Given a large amount of knowledge stored, how can relevant parts be accessed ?

3 comments:

  1. wat are ai techniques in knowledge representation. do reply soon

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    Replies
    1. In Knowledge representation we follow
      1. Predicate Logic
      2. Propositional Logic
      with resolution procedure.
      Basic Issues of Knowledge Representation are
      1. Semantic Nets
      2. CD Diagrams
      3. Frames
      4. scripts
      These are Declarative mechanisms., procedures are written in form of Procedural mechanisms by using AI Languages.

      Delete
  2. sir please explain all these with diagrams
    1. Semantic Nets
    2. CD Diagrams
    3. Frames
    4. scripts

    ReplyDelete