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Understanding Semantic Mapping within STASIS

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Title: Understanding Semantic Mapping within STASIS


1
Understanding Semantic Mapping within STASIS
2
Example Min-max Inventory Replenishment
The supplier checks stocklevel periodically and
delivers his goods.
Supplier
Customer
Request Stock level
Deliveryadvise
Confirmation
3
Semantic
Informal specification based on terminology
Structural specification based on the data model,
i.e. XML Schema
Integrated method with sufficient formal
expressiveness
Ontologies
Common DatamodelOntology
BusinessOntologies
Folie 3
4
Format Example XSD
Folie 4
5
Common Data Model generic structure description
  • Extensions for
  • XML Schema
  • Relational Databases
  • EDI
  • etc.

6
Describing the Schema Structure by using the CDM
  • lt?xml version"1.0" encoding"UTF-8"?gt
  • ltschema xmlns"http//..."gt
  • ltelement namemyInvoice" type"invInvoiceTy
    pe"/gt
  • ltcomplexType name"InvoiceType"gt
  • ltattribute namemyDate"
    type"date"/gt
  • ltattribute namemyCurrency"
    type"string"/gt
  • lt/complexTypegt
  • lt/schemagt

myInvoice
myCont_I
myDate
date
hasDataType
hasSourceNode
myCurrency
myCont_II
string
Folie 6
7
Schema Mapping
Folie 7
8
Describing Semantics by Annotation
Business Ontology
isA
isA
isA
isA
DateTimeUnit
FinancialUnit
Order
myInvoice
Invoice
myDate

myCurrency
yourInvoice

? Reasoning myInvoice equivalent to yourInvoice
Folie 8
9
Semantic Mapping
Folie 9
10
Automatic Mapping
Name
Complex Type
subclass_of
subclass_of
Buyer Name
Seller Name
is_a
is_a
myName
is_a
Possible automatic reasoning
yourBuyer
myFirstname
Mapping
myLastname
is_a
Concatenation
subclass_of
11
Combination
subclass_of
subclass_of
Name
Folie 10
11
Methods for automatic mapping 1/2
  • String comparison
  • good indicator for a perfect match
  • Stem comparison
  • improves the likelihood, but reduces confidence
  • Levenshtein distance
  • provide only a very week indicator for similarity
  • Dictionary lookup
  • gives a very high probability for a good match
  • Abbreviation lookup
  • may destroy valuable information

Folie 11
12
Methods for automatic mapping 2/2
  • WordNet synsets
  • used for further aggregation with scores from
    other plugins
  • Structural comparison
  • quality of this score heavily depends on the
    availability of metadata
  • Transitive link reduction
  • gives a strong indication, but only if all links
    in between are correct
  • Reasoning
  • provides the best indicator for a perfect match

Folie 12
13
Solution
  • STASIS (SofTware for Ambient Semantic
    Interoperable Services)
  • Aims to allow SME and corporate participation in
    the eEconomy
  • Addresses semantic gap in integration
  • Provides services and applications
  • Industrial partners involved during requirements
    analysis, testing and validation

Folie 13
14
STASIS Core Components
Folie 14
15
STASIS Comparator - Parts for Annotation
  • Provides a Wizard to load the user schema
  • Provides a Wizard to load an Ontology
  • Visualizes both
  • User can annotate the elements in his Schema to
    an Ontology
  • Again a Wizard is provided to help the user with
    annotation

Folie 15
16
Ontology Editor GUI
17
Mockup of the STASIS Annotation GUI
18
Project Information
  • EU Funded project (6th Framework)
  • 12 Partners across EU and China
  • Commercial Universities User Organisations
  • Links to standardisation and interoperability
    organisations
  • CEN/eBES
  • CEN/eBIF
  • UN/CEFACT

Folie 18
19
Partner
  • Commercial Companies
  • TIE
  • iSoft
  • Universities
  • Sunderland
  • Oldenburg
  • Modena e Reggio Emilia
  • Tsinghua
  • User Organisations
  • AIDIMA
  • Mariner
  • Shanghai Sunline
  • Foton
  • TANET
  • ZF Friedrichshafen AG

Folie 19
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