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Achieving Semantic Integration: Navigating the Future of Interoperability and Data Management

Discover how semantic integration can bridge the gap between today’s computing systems and future interoperability. This work discusses the challenges of traditional integration methods, emphasizing the need for semantic awareness and flexibility to enhance data behavior and economic efficiencies. Co-authored by industry experts, this resource presents strategies to overcome silos of competence and achieve a scalable, adaptable architecture. Learn how to utilize semantic descriptions to create robust and efficient business processes that leverage existing investments in technology.

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Achieving Semantic Integration: Navigating the Future of Interoperability and Data Management

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  1. Dave Hollander CTO, Contivo www.contivo.com Standards Co-Founder of XML Co-Chair W3C XML Schema Working Group Co-Author W3C Recommendation Namespaces in XML Co-Chair W3C Web Services Architecture Working Group Books Co-Author XML Applications Contributor/Technical Editor Semantics in Business Systems Modeling Business Objects with XML Schema Java Web Services Architecture Architecture with XML http://www.mhxml.com eXtreme Semantics Realize the Potential Today

  2. eXtreme Semantics eXtreme SEMANTICS:Pragmatic Application of Semantics Semantics = Data + Behavior • Practical: When a friend says cool...don’t put on a coat • System: Purchase order triggers processes to manufacture, package, ship and bill Behavior Data • Semantics in Business Systems: The Savvy Manager’s Guide • Dave McComb; Morgan Kauffman; September 2003ISBN: 1-55860-917-2

  3. Semantic Attributes Quality • Referents– person or thing to which the data refers • “the person with SSN 123-45-6789” • Veracity– how closely the data agrees with its referent • “the check is in the mail” • Precision– resolution of the data in the system • “date package arrived at sorting station” • Semantically Adaptive– system processing automatically adapts to semantic descriptions • Semantic Awareness– systems with high degree of sensitivity to semantics • Flexibility– a measure of the resource cost to change a behavior • Efficiency– a measure of the resources consumed to complete a behavior System Economics

  4. Strategies for Semantic Harmony • Point-to-point does not scale • Inflexible • Metadata driven • Fixed precision • Ontology driven • Semantic adaptive Hard-coded Agreements Semantic Integration: Practical Magic thatbridges the gap between the today’s computing systems and the future of semantic interoperability SchematicAgreements Semantic Interoperability

  5. Gartner Group Application Integration “Semantics” 95% Messaging andTransport 5% Only 5% of the interface is a function of the middleware choice. The remaining 95% is a function of application semantics.” Why Semantic Integration • The integration challenge • Preserve investments • Packaged applications • ~ $3 Trillion • “Silos of competence” • Integration • $300 Billion annually • “Spanning silos” • OTD, C2C, 360°, • M&A, Regulation • Semantics limit traditional integration – • Limited scope, adoption, functionality, high risk • Transport focused, project-oriented, slow, costly

  6. Integration Focus Idealized Order-To-Delivery • Semantic descriptions for each component • Rich, complex, semantic, system descriptions System 1 System 2 Stimulus or Event Result Simple Integration • Integration only needs a small sub-set • Loose coupling allows us to focus only on the semantics of the exchanged messages

  7. Semantic Integration • When scaled to production size systems the cost impact of integration focus is significant. 1st Tier 2nd Tier nth Tiers Complex Integration

  8. Comparison • Semantic Web - Ontology Requirements • Compatible with existing Web standards (XML, RDF) • Captures common KR idioms • Formally specified and of “adequate expressive power” • Can provide reasoning support • Semantic Integration Requirements • Compatible with existing systems and interfaces • Capture relationships between data in messages • Detailed mappings with ability to describe all relationships • Semantics accelerate mapping

  9. Description Logics • DL is a field of research that has studied the logics that form the formal foundation of OWL • Formally specified and of “adequate expressive power” • Logic captured must represent actual business logic • Simple to understand (like the original web) • Easy enough for large scale projects

  10. Trends We See at Customers Commoditization of Middleware • Moving to Messaging Standards: XML, Java, XSLT, web services • Architecture: SOA, legacy encapsulation • Metadata Technologies • Repositories • Interfaces • Vocabulary • Modeling • XML, OO, UML • Code Generation • Layered Architecture • Semantics • Vocabularies • Canonicals and COMs • Standards • Internal and Industry • Organizational • Centers of Excellence • Integration Competency Centers

  11. Looking Forward • Understanding: Carbon vs. Silicone • How to teach silicone about widely varying, nuanced context • Legal, business process, social, temporal, change, precision, social, politics, etc • Understanding uses reference objects • Rosetta-stone, boundary objects, glossing, UDEF • Standards only reduce semantic chaos • Interface technologies are key • Semantic Integration • Economics: • Leverages existing system investments • Leverages existing project efforts and skills • Delivers value in current projects • Reduces semantic chaos in preparation for semantic interoperability

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