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A Brief Introduction to the Semantic Representations of the UN/CEFACT CCTS-based Electronic Business Document Artifacts. Asuman Dogac, METU, Turkey Yildiray Kabak, SRDC Ltd.,Turkey. The Problem Addressed: All CCTS based standards use CCTS differently.

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slide1

A Brief Introduction to the Semantic Representations of the UN/CEFACT CCTS-based Electronic Business Document Artifacts

Asuman Dogac, METU, Turkey

Yildiray Kabak, SRDC Ltd.,Turkey

slide3
The Solution Envisaged: Developing Semantic Tools to Semi-Automate the Mappings among Different CCTS based Standards
set tc objectives revisited
SET TC Objectives revisited
  • UN/CEFACT CCTS (Core Component Technical Specification) defines the semantics of document artifacts
  • However, currently this semantics is available only through text-based search mechanisms
  • SET TC aim is to explicate the semantics of CCTS based business document standards by defining their semantic properties through a formal, machine processable language as an ontology
  • In this way, it becomes possible to compute a harmonized ontology which gives
    • The similarities among document schema ontology classes of different document standards through both
      • The semantic properties they share and
      • The semantic equivalences established through reasoning
the upper ontologies
The Upper Ontologies
  • The semantics is explicated at two levels: At the first level, an upper ontology describing the CCTS document content model is specified
  • Furthermore,at this level, the upper ontologies of the prominent CCTS based standards,namely, GS1 XML, OAGIS 9.1 and UBL are also developed
  • The various equivalence relationships between the classes of the CCTS upper ontology and theCCTS based document standard ontologies are defined
  • These relationships arelater used to find the similarities among the document artifacts from differentdocument schemas
example core component data t ype semantics
Example: Core Component Data Type semantics
  • CCTS provides a fixed set of reusable “Core Component Data Types" (CCTs) such as Amount, Identier, or Measure
  • The Core Component Type semanticsis explicated through the “owl: CoreComponentType" class
  • For each of the14 CCTs, a corresponding OWL class is created and inserted as the subclassof “owl:CoreComponentType" class
other semantic properties of ccts core components
Other Semantic Properties of CCTS Core Components
  • Context (the “context” semantics is defined at an absolute minimum since UN/CEFACT UCM is working on this subject)
  • The structure of the core components(BCCs and ASCCs making up ACCs)
  • The semantics implied by the naming convention used(“Object Class Term” and “Representation Term”)
  • The semantics implied by the Business Information Entities (based on a Core Component and used in a context)
  • The semantics implied by the code lists
the upper ontologies1
The Upper Ontologies
  • The semantics is explicated at two levels: At the first level, an upper ontology describing the CCTS document content model is specied
  • Furthermore,at this level, the upper ontologies for the prominent CCTS based standards,namely, GS1 XML, OAGIS 9.1 and UBL are also developed
  • The various equivalence relationships between the classes of the CCTS upper ontology and theCCTS based document standard ontologies are defined
  • These relationships arelater used to find the similarities among the document artifacts from differentdocument schemas
document schema ontologies
Document Schema Ontologies
  • At the next level, the semantics of the document schemas in each standard are described based on its upper ontology
  • The difference between the document schema specific ontology and the upper ontology is that
    • The upper ontology describes the generic entities in a document content model
    • Whereas document schema ontologies describe the actual document artifacts as the subclasses of the classes in the upper ontology
  • The SET XSD-OWL tool converts a CCTS based document schema into OASIS SET TC OWL Definition and is publicly available from http://www.srdc.metu.edu.tr/iSURF/OASIS-SET-TC/tools/OASISSET.zip
set harmonized ontology
SET Harmonized Ontology
  • When these ontologies are harmonized using a DL reasoner, the computed inferred ontologies reveal the implicit equivalences and subsumtion relationships between the document artifacts
  • In other words,
    • The shared semantic properties of the CCTS based document artifacts together with
    • The implicit relationships inferred, help to identify their similarities
next step
Next step…
  • Further explanations related with the Deliverable?
  • How to use SET Specifications in real life applications?
    • In the iSURF Project to map supply chain planning documents conforming to different standards to each other
    • TC Members proposals…
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