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Semantic Web & Cased Based Reasoning Overview

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Rama Bastola
Rama Bastola

The document discusses the semantic web and case-based reasoning. It provides an overview of key concepts like ontology languages, RDF, OWL, and how case-based reasoning can utilize semantic web technologies. It also describes a prototype conversational case-based reasoning application for retrieving earthquake science codes.

Educación
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[object Object],[object Object],[object Object],[object Object], Mehmet S. Aktas [email_address]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 Semantic Web Overview
[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 Motivations
AIST Meeting JPL, CA 2003 The Semantic Stack and Ontology Languages From “The Semantic Web” technical report by Pierce The Semantic Language Layer for the Web A B A = Ontology languages based on XML syntax B = Ontology languages built on top of RDF and RDF Schema
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 Resource Description Framework (RDF) - I
[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 Resource Description Framework (RDF)- II Example: Alice is the creator of the resource http://www.cs.indiana.edu/~Alice .
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 The Dublin Core Definition Standard
AIST Meeting JPL, CA 2003 Example http://www.cs.indiana.edu/~Alice creator = http://purl.org/dc/elements/1.1/creator Alice is the creator of the resource http://www.cs.indiana.edu/~Alice . ,[object Object],[object Object],[object Object],[object Object],[object Object],Alice Resource Property Property Value Inspired from “The Semantic Web” technical report by Pierce
AIST Meeting JPL, CA 2003 Example Alice is the creator of the resource http://www.cs.indiana.edu/~Alice . Inspired from “The Semantic Web” technical report by Pierce <rdf:RDF xmlns:rdf=” http://www.w3c.org/1999/02/22-rdf-syntax-ns## ” xmlns:dc=” http://purl.org/dc/elements/1.1 ” xmlns:cgl=” http:// cgl.indiana.edu /people ”> <rdf:Description about=” http://www.cs.indiana.edu/~Alice ”> <dc:creator> <cgl:staff> Alice </cgl:staff> </dc:creator> </rdf:RDF> ,[object Object],[object Object],[object Object],Why bother to use RDF instead of XML?
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 RDF Schema ( RDFS ) It resembles objected-oriented programming
[object Object],[object Object],[object Object],[object Object],Limitations of RDF/RDFS AIST Meeting JPL, CA 2003
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 DAML, OIL and DAML+OIL - I
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 DAML, OIL and DAML + OIL - II
[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 Example How is DAML+OIL is different than RDF/RDFS? From “The Semantic Web” technical report by Pierce
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 Web Ontology Language (OWL)
[object Object],[object Object],[object Object],[object Object],From Semantic Web to Cased Based Reasoning AIST Meeting JPL, CA 2003
[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003 What is CBR? Overview of Case-Based Reasoning
[object Object],[object Object],[object Object],[object Object],[object Object],What is CBR? AIST Meeting JPL, CA 2003
CBR Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
CBR Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
CBR Process Problem Retrieve Reuse Revise Retain Proposed solution Confirmed solution Case-Base The CBR Cycle AIST Meeting JPL, CA 2003
Conversational CBR (CCBR) ,[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
Conversational CBR ,[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
A Prototype CCBR Application AIST Meeting JPL, CA 2003
A Prototype CCBR Application ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
A Prototype CCBR Application ,[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
A Prototype CCBR Application AIST Meeting JPL, CA 2003 CCBR CASE Problem Solution Feature Feature Feature = <Question, Answer>
A Prototype CCBR Application ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
A Prototype CCBR Application AIST Meeting JPL, CA 2003 CCBR CASEBASE Case Feature 1 Feature 2 Feature 5 Case = <Problem, Solution> Feature 1 Feature 2 Feature 3 Feature 4 A Case from CASEBASE Query Case IF (( A .Feature1.Solution = B .Feature1.Solution) & ( A .Feature2.Solution = B .Feature2.Solution)) THEN Consistency # = 2 A B
A Prototype CCBR Application ,[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],References AIST Meeting JPL, CA 2003
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],AIST Meeting JPL, CA 2003

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Semantic Web & Cased Based Reasoning Overview

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  • 5. AIST Meeting JPL, CA 2003 The Semantic Stack and Ontology Languages From “The Semantic Web” technical report by Pierce The Semantic Language Layer for the Web A B A = Ontology languages based on XML syntax B = Ontology languages built on top of RDF and RDF Schema
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  • 22. CBR Process Problem Retrieve Reuse Revise Retain Proposed solution Confirmed solution Case-Base The CBR Cycle AIST Meeting JPL, CA 2003
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  • 25. A Prototype CCBR Application AIST Meeting JPL, CA 2003
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  • 28. A Prototype CCBR Application AIST Meeting JPL, CA 2003 CCBR CASE Problem Solution Feature Feature Feature = <Question, Answer>
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  • 30. A Prototype CCBR Application AIST Meeting JPL, CA 2003 CCBR CASEBASE Case Feature 1 Feature 2 Feature 5 Case = <Problem, Solution> Feature 1 Feature 2 Feature 3 Feature 4 A Case from CASEBASE Query Case IF (( A .Feature1.Solution = B .Feature1.Solution) & ( A .Feature2.Solution = B .Feature2.Solution)) THEN Consistency # = 2 A B
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