SlideShare a Scribd company logo
1 of 33
[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

More Related Content

What's hot

Efficient Query Answering against Dynamic RDF Databases
Efficient Query Answering against Dynamic RDF DatabasesEfficient Query Answering against Dynamic RDF Databases
Efficient Query Answering against Dynamic RDF Databases
Alexandra Roatiș
 
Matching and merging anonymous terms from web sources
Matching and merging anonymous terms from web sourcesMatching and merging anonymous terms from web sources
Matching and merging anonymous terms from web sources
IJwest
 

What's hot (18)

Introduction to RDF
Introduction to RDFIntroduction to RDF
Introduction to RDF
 
Efficient Query Answering against Dynamic RDF Databases
Efficient Query Answering against Dynamic RDF DatabasesEfficient Query Answering against Dynamic RDF Databases
Efficient Query Answering against Dynamic RDF Databases
 
Data in RDF
Data in RDFData in RDF
Data in RDF
 
Dublin Core In Practice
Dublin Core In PracticeDublin Core In Practice
Dublin Core In Practice
 
OWL Web Ontology Language Overview
OWL Web Ontology Language OverviewOWL Web Ontology Language Overview
OWL Web Ontology Language Overview
 
The Web Ontology Language
The Web Ontology LanguageThe Web Ontology Language
The Web Ontology Language
 
The Semantic Web #9 - Web Ontology Language (OWL)
The Semantic Web #9 - Web Ontology Language (OWL)The Semantic Web #9 - Web Ontology Language (OWL)
The Semantic Web #9 - Web Ontology Language (OWL)
 
Semantic web Technology
Semantic web TechnologySemantic web Technology
Semantic web Technology
 
Jarrar: OWL (Web Ontology Language)
Jarrar: OWL (Web Ontology Language)Jarrar: OWL (Web Ontology Language)
Jarrar: OWL (Web Ontology Language)
 
Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF
 
Efficient RDF Interchange (ERI) Format for RDF Data Streams
Efficient RDF Interchange (ERI) Format for RDF Data StreamsEfficient RDF Interchange (ERI) Format for RDF Data Streams
Efficient RDF Interchange (ERI) Format for RDF Data Streams
 
What’s in a structured value?
What’s in a structured value?What’s in a structured value?
What’s in a structured value?
 
Matching and merging anonymous terms from web sources
Matching and merging anonymous terms from web sourcesMatching and merging anonymous terms from web sources
Matching and merging anonymous terms from web sources
 
5 rdfs
5 rdfs5 rdfs
5 rdfs
 
SPARTIQULATION - Verbalizing SPARQL queries
SPARTIQULATION - Verbalizing SPARQL queriesSPARTIQULATION - Verbalizing SPARQL queries
SPARTIQULATION - Verbalizing SPARQL queries
 
Rdf data-model-and-storage
Rdf data-model-and-storageRdf data-model-and-storage
Rdf data-model-and-storage
 
Ontologies in RDF-S/OWL
Ontologies in RDF-S/OWLOntologies in RDF-S/OWL
Ontologies in RDF-S/OWL
 
Rdf Overview Presentation
Rdf Overview PresentationRdf Overview Presentation
Rdf Overview Presentation
 

Viewers also liked (8)

Jpl report
Jpl reportJpl report
Jpl report
 
Chap4&5 jpl
Chap4&5 jplChap4&5 jpl
Chap4&5 jpl
 
p2
p2p2
p2
 
Jpl presentation
Jpl presentationJpl presentation
Jpl presentation
 
Jpl Kabanata 1-2
Jpl Kabanata 1-2Jpl Kabanata 1-2
Jpl Kabanata 1-2
 
Kabataan at Pag-aaral ni JPL
Kabataan at Pag-aaral ni JPLKabataan at Pag-aaral ni JPL
Kabataan at Pag-aaral ni JPL
 
87041747 buhay-at-diwa-ni-jpl
87041747 buhay-at-diwa-ni-jpl87041747 buhay-at-diwa-ni-jpl
87041747 buhay-at-diwa-ni-jpl
 
Absolutismo
AbsolutismoAbsolutismo
Absolutismo
 

Similar to Jpl presentation

Part2- The Atomic Information Resource
Part2- The Atomic Information ResourcePart2- The Atomic Information Resource
Part2- The Atomic Information Resource
JEAN-MICHEL LETENNIER
 
Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?
Museums Computer Group
 
20080917 Rev
20080917 Rev20080917 Rev
20080917 Rev
charper
 
Web 3 Mark Greaves
Web 3 Mark GreavesWeb 3 Mark Greaves
Web 3 Mark Greaves
Mediabistro
 

Similar to Jpl presentation (20)

RDFa Semantic Web
RDFa Semantic WebRDFa Semantic Web
RDFa Semantic Web
 
Semantic web
Semantic web Semantic web
Semantic web
 
CSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialCSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web Tutorial
 
SNSW CO3.pptx
SNSW CO3.pptxSNSW CO3.pptx
SNSW CO3.pptx
 
MR^3: Meta-Model Management based on RDFs Revision Reflection
MR^3: Meta-Model Management based on RDFs Revision ReflectionMR^3: Meta-Model Management based on RDFs Revision Reflection
MR^3: Meta-Model Management based on RDFs Revision Reflection
 
Semantic - Based Querying Using Ontology in Relational Database of Library Ma...
Semantic - Based Querying Using Ontology in Relational Database of Library Ma...Semantic - Based Querying Using Ontology in Relational Database of Library Ma...
Semantic - Based Querying Using Ontology in Relational Database of Library Ma...
 
Semantic Web: From Representations to Applications
Semantic Web: From Representations to ApplicationsSemantic Web: From Representations to Applications
Semantic Web: From Representations to Applications
 
Part2- The Atomic Information Resource
Part2- The Atomic Information ResourcePart2- The Atomic Information Resource
Part2- The Atomic Information Resource
 
semanticweb
semanticwebsemanticweb
semanticweb
 
The JISC DC Application Profiles: Some thoughts on requirements and scope
The JISC DC Application Profiles: Some thoughts on requirements and scopeThe JISC DC Application Profiles: Some thoughts on requirements and scope
The JISC DC Application Profiles: Some thoughts on requirements and scope
 
RDF and Java
RDF and JavaRDF and Java
RDF and Java
 
Semantic Web and Linked Open Data
Semantic Web and Linked Open DataSemantic Web and Linked Open Data
Semantic Web and Linked Open Data
 
Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?
 
Rdf
RdfRdf
Rdf
 
Semantics
SemanticsSemantics
Semantics
 
20080917 Rev
20080917 Rev20080917 Rev
20080917 Rev
 
RDA-DCAM and Application Profiles
RDA-DCAM and Application ProfilesRDA-DCAM and Application Profiles
RDA-DCAM and Application Profiles
 
SWT Lecture Session 5 - RDFS
SWT Lecture Session 5 - RDFSSWT Lecture Session 5 - RDFS
SWT Lecture Session 5 - RDFS
 
Web 3 Mark Greaves
Web 3 Mark GreavesWeb 3 Mark Greaves
Web 3 Mark Greaves
 
.Net and Rdf APIs
.Net and Rdf APIs.Net and Rdf APIs
.Net and Rdf APIs
 

Recently uploaded

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 

Recently uploaded (20)

Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 

Jpl presentation

  • 1.
  • 2.
  • 3.
  • 4.
  • 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
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. CBR Process Problem Retrieve Reuse Revise Retain Proposed solution Confirmed solution Case-Base The CBR Cycle AIST Meeting JPL, CA 2003
  • 23.
  • 24.
  • 25. A Prototype CCBR Application AIST Meeting JPL, CA 2003
  • 26.
  • 27.
  • 28. A Prototype CCBR Application AIST Meeting JPL, CA 2003 CCBR CASE Problem Solution Feature Feature Feature = <Question, Answer>
  • 29.
  • 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
  • 31.
  • 32.
  • 33.