Teadmiste otsing, formaliseerimine ja hoidmine: erinevus redaktsioonide vahel

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See also:
See also:
* Overview of knowledge representation: http://en.wikipedia.org/wiki/Knowledge_representation
* [http://en.wikipedia.org/wiki/Knowledge_representation Overview of knowledge representation]
* Pointers to classical papers: http://www.cse.buffalo.edu/~rapaport/676/F01/proc.decl.html
* [http://www.cse.buffalo.edu/~rapaport/676/F01/proc.decl.html Pointers to classical papers]
* [http://www.cogarch.org/index.php/Main_Page A Survey of Cognitive and Agent Architectures]


=== Databases: meaning and representation of facts ===
=== Databases: meaning and representation of facts ===

Redaktsioon: 31. jaanuar 2011, kell 02:32

Code: ITV0060
Link: http://www.lambda.ee/index.php/Teadmiste_otsing,_formaliseerimine_ja_hoidmine or http://www.lambda.ee/index/itv0060
Lecturer: Tanel Tammet
Contact: tammet@staff.ttu.ee, 6203457, TTÜ AK223
Archives of previous years: 2010, 2009, 2008, 2007, 2006, [http:/cs.ttu.ee/kursused/wav4130/ older].

Time, place, result

Semester: spring
Grading: exam
Points: 3.5

Lectures: every Monday 12.00-13.30, room IT-137a
Practical work: Mondays on odd weeks 10.00-11.30, room IT-213H

Practical work will give 40% and exam 60% of points underlying the final grade.


Practical work

  • two labs on the same theme.
  • optional third lab

First lab

TBA

Second lab

TBA

Optional third lab

TBA

Course structure

Intro and paradigms of knowledge representation

  • Declarative and procedural representations

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Databases: meaning and representation of facts

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Scraping semistructured data

Rules in logic: apps in planning, robotics, ...

  • propositional, first order, higher order
  • semantics/models
  • proofs and deriving new information
  • automated reasoning

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Various rule/logic languages

  • RDFS
  • OWL
  • KIF
  • CL
  • ontologies
  • wordnet
  • cyc
  • restricted english systems

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Time, context, metainformation

Probabilistic and nonmonotonic reasoning

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Personalized search and recommendations

Fast search of facts and rules using indexing

Learning

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