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Saint Petersburg State University. Knowledge.NET Ontology-based Knowledge Management Toolkit for Microsoft.NET. Presenter Anton Novikov. Project Participants Anton Novikov Maxim Sigalin Alexey Smolyakov Dmitry Cherepanov. Scientific Advisor Vladimir Safonov, professor of computer science.

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knowledge net ontology based knowledge management toolkit for microsoft net

Saint Petersburg State University

Knowledge.NET Ontology-based Knowledge Management Toolkit for Microsoft.NET

PresenterAnton Novikov

Project ParticipantsAnton NovikovMaxim SigalinAlexey Smolyakov

Dmitry Cherepanov

Scientific AdvisorVladimir Safonov, professor of computer science

overview
Overview
  • Procedural knowledge
  • Conceptual knowledge
  • Factual knowledge
  • Heuristic knowledge
advantages of knowledge net
Advantages of Knowledge.NET
  • Hybrid knowledge
  • Integration toMS Visual Studio.NET 2005 (add-in)
  • Usage of C# as a base language
  • Toolkit for knowledge engineering for Microsoft.NET 2.0 platform
components of knowledge net
Components ofKnowledge.NET
  • Knowledge.NET language (based on С#)
  • Knowledge Editor
  • Converter to KIF Format
  • Knowledge Prospector Subsystem
knowledge net language
Knowledge.NET Language
  • Ontologies
  • Rulesets
  • Integration with nativeC# code
  • Forward-chaining and backward-chaining Subsystem
  • Query Language
example of program
Example of Program

Plane is_subconcept_of Vehicle;

Submarine is_subconcept_of Vehicle;

disjoint Plane, Submarine;

disjoint Color, Vehicle;#properties

object property HasColor

{

domain Vehicle;

range Color;

}

functional datatype property HasName

{

domain Vehicle;

range string;

}

#individuals

individual Lada

{ is_a Vehicle;

HasName = “Lada”;

}

#end_of_ontology “Vehicles”

using System;// C# native codenamespace HelloWorld{ class Hello { [STAThread] static void Main(string[] args) {

Console.out.WriteLine (“Vehicle: ” + Lada.HasName);

} }}

// Knowledge .NET specific code

#ontology “Vehicles”

#concepts

Color is_subconcept_of Thing;Vehicle

{

is_subconcept_of Thing;

some_values_from HasName string;

cardinality HasName 1;

}

example of query
Example of Query

individuals of Automobilewhere (Color contains Red) or (HasMaxSpeed > 100 and HasMaxSpeed <= 250)

features
Features
  • Converter is written on CoCo/Rhttp://www.ssw.uni-linz.ac.at/Research/Projects/Coco/
  • KnowledgeLibrary
    • Including forward and backward chaining alorithms
features11
Features
  • Special type of the project is supported
  • Graphical representation of knowledge base.
  • Navigation through knowledges
kif converter
KIF Converter
  • Parses the program on Knowledge.NET and createsinternal representation in Ontolingua format http://www-ksl.stanford.edu
  • Ontolingua extends KIF format by additional capabilities forrepresentation offrames/ontologies
knowledge prospector
Knowledge Prospector
  • Extracts knowledge from texts written on natural languages
  • Extracts knowledge from the Internet.
basic idea of algorithm
Basic Idea of Algorithm
  • Morphological text analyze
  • Semantical text analyze
  • Graph analyze
  • Save results in Knowledge.NET format
technologies
Technologies
  • Microsoft.NET Framework 2.0
  • Microsoft Visual Studio 2005
  • Add-ins forVisual Studio
  • The Compiler Generator Coco/R
  • Ontolingua language
status of the project plans
Status of the Project, Plans
  • We are developing prototype.
  • Integration with Aspect.NET is planned
  • Information of the project is located on web-site: http://www.knowledge-net.ru
slide19
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Contact Information:

antonnovik@gmail.com