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Ontoprise: B 3 - Semantic B2B Broker whitepaper review Bernhard Schueler CSCI 8350, Spring 2002,UGA.
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Transcript of Ontoprise: B 3 - Semantic B2B Broker whitepaper review Bernhard Schueler CSCI 8350, Spring 2002,UGA.
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Ontoprise: Ontoprise: BB3 3 - - Semantic B2B BrokerSemantic B2B Broker
whitepaper review
Bernhard Schueler
CSCI 8350, Spring 2002,UGA
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2Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
OverviewOverview
• Aim of OntopriseAim of Ontoprise• Problem: interoperabilityProblem: interoperability• Previous approachesPrevious approaches• Using ontologiesUsing ontologies• Using RDFUsing RDF• RemarksRemarks
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3Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Aim of OntopriseAim of Ontoprise
The aim of Ontoprise is to provide ontology-based B2B-applications.
Those applications should make the semantics of business information machine-processable.
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4Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Example: Product CataloguesExample: Product Catalogues
The seller’s product catalogue is transformed into an electronic data format.
Programmers write transformation programs to generate different formats and views required by buyers.
This process requires human resources and time.
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5Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Example computer dealerExample computer dealer
Seller and buyer have catalogues, which are structured differently.
Seller’s catalogue: a printer has an attribute type with values laser, ink or matrix.
Buyer’s catalogue:there is a subclass laser printer.
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6Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Problem: MappingProblem: Mapping
How can the data formats automatically be mapped between the catalogues?
Mapping is necessary to create and update the buyer’s catalogue.
It is expensive to program those mappings.
Solution:automate the creation of mappings, which can automate creation and update of the catalogue.
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7Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Previous approaches - EDIFACTPrevious approaches - EDIFACT
EDIFACT• provides a standardized electronic format to
exchange data between sellers and buyers,• allows the specification of standards for application
areas.
The standards cover the semantics of different application areas.
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8Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Previous approaches – XMLPrevious approaches – XML
XML-specifications provide a semi-structured description of products, orders, … .
DTDs or XML-schema specifications define the structure of the data.
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9Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Advantages of XML over EDIFACTAdvantages of XML over EDIFACT
• Readable for non-experts,• Integrated with other document/data exchange
standards,• DTDs, XML-schema enable generation of tools like
form editors,• Designed for the web.
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10Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
XML Description, Example:XML Description, Example:
<article><articleid>a_5634</articleid><category>printer</category><type>laser</type>
</article>
<article><articleid>a_5634</articleid><category>laserprinter</category>
</article>
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11Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Deficiencies of XML – 1Deficiencies of XML – 1
Implicit agreement on meaning of tags is necessary.
Validation of XML using DTDs is only syntactic. The labeled tree structure is checked.
There can’t be semantic constraints, e.g. The price of a mouse may only be 1/100 of the price of a computer system.
There is no inheritance.
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12Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Deficiencies of XML – 2Deficiencies of XML – 2
Transformations:They are purely syntactical, using XSLT and DTDs.Therefore they would have to bee hand-coded.
Queries:XQL and XML-QL allow to query the document structure.Give me all printers for which cartridges are available that last for more than 5000 pages.Can be done. But it’s very cumbersome and overloaded with syntactic aspects.
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13Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
OntologiesOntologies
Ontologies define a domain and provide a shared vocabulary.
“leight-weight” ontologies model concepts with properties and relationships, which are embedded in an is-a-hierarchy.They are comparable to database schemata.
“heavy-weight ontologies also contain rules and constraints.
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14Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Ontologies in BOntologies in B33
Ontology Ontology
OntoLift
DTD
XML documents
DTD
XML documents
OntoMap
DTD
DTD Maker
DTD Custom
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15Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
Ontologies in BOntologies in B33 - with RDF - with RDF
Ontology Ontology
RDF documents
OntoMap
RDF documents
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16Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
The BThe B33 B2B Broker – Basic tools B2B Broker – Basic tools
• OntoEdit,• OntoFact,
generates forms for attributes and relations of instances (of concepts of an ontology),
• OntoAnnotate,allows the user to add meta information to HTML, Word, PDF.
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17Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
The BThe B33 B2B Broker – Advanced tools B2B Broker – Advanced tools
• OntoLift, provides means to identify concepts and relationships from an XML-DTD or XML-schema,
• DTDMaker,• OntoMap,
semi-automated creation of mapping rules,• OntoCompile,
creates a set of XSLT transformations.
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18Bernhard Schueler - Ontoprise: B3 CSCI 8350, Spring 2002,UGA
RemarksRemarks
By the time the paper was published not all of the tools had been implemented.
By now, data would rather be stored using RDF than pure XML.
A means to create forms, views and web content form RDF might be more interesting.