Semantic Annotation and Conflict Analysis for Information System Integration

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1 Semantic Annotation and Conflict Analysis for Information System Integration Henning Agt, Gregor Bauhoff, Ralf-D. Kutsche, Nikola Milanovic, Jürgen Widiker TU Berlin / Labs GmbH Technische Universität Berlin Computergestützte Informationssysteme CIS ECMFA-MDTPI, Paris, June 16, 2010 Motivation 1970 or earlier? 2070 or longer? Integration of heterogeneous distributed IT- is one of the major problems and cost-driving ing factors in the software industry (approx. 50 % of total IT-cost, 80% of total software cost is spent in integration issues ) There is an increasing need to systematically address integration in accidental information infrastructures and ITarchitectures, that have grown over time in an uncontrolled manner in heterogeneous enterprise environments CIS Fachgebiet Datenbanksysteme und Informationsmanagement Technische Universität Berlin Integration needs: Data and information integration Software integration (full interoperability) DIMA TU Berlin DIMA TU Berlin 2 Motivation 2000 B.C. or earlier? 3000 A.C. or longer? : Enterprise Management & Business Intelligence PCDA Cycle FMK GmbH Cedavis Technology GmbH act plan TU Berlin KEH Spirem GmbH Large Scale Information Infrastructures /Integration... Specifications & ling my personal history PAtientenDatenKOMmunikation PADKOM (Patient Data Communication) / Heterogeneous Distributed information Management System HDMS at German Heart Centre Berlin DHZB ( ) LandesUmweltInformationsSystem LUIS Brandenburg ( ) (State t Environmental Information System Brandenburg) ) Telematikplattform für die Medizinische Forschung in Deutschland TMF ( ) (Telematics Platform for Clinical Studies) check do PI Informatik GmbH European Migration Network EMN ( ) BIZYCLE Based Software & Data Integration for Business Intelligence (i.e. PDCA Biz - Cycle...) ( ) 8hertz technologies GmbH Klopotek AG DIMA TU Berlin 3 Forthcoming: BIZWARE (starting Sept 2010 scheduled until Aug 2013) CIS Fraunhofer Institut Software- und Systemtechnik ISST 4

2 PADKOM / DHZB since 1989 Development of the PADKOM system / HDMS as an object-based, distributed, heterogeneous information system in the domain of cardiology at German Heart Centre of Berlin DHZB basically enabling communication and an integrated view of the various kinds of patient (later also: integration) LUIS Brandenburg since 1994 Integration of environmental information sources via object-oriented middleware Object-based b approach Meta-based approach Meta-Objekte GIS FIS aus den Bereichen Natur, Abfall, Wasser,... FV LUIS Fachverfahren Umwelt-Fachobjekt LUIS - Objekt / bereichsübergreifend Aggregation Überlagerung komplexe Funktionalitäten FIS - Objekt / Bereich I z. B. SO 2 - Immission im Jahresmittel 1993 im Land Brandenburg Umwelt-Fachobjekt Aggregation Überlagerung komplexe Funktionalitäten Umwelt-Objekt Fraunhofer ISST Institut Software- und Systemtechnik 5 6 TMF Germany since 1998 European Migration Network since 2004 Integrating approx. 200 medical centers performing clinical studies wrt. information standardization & exchange, and wrt. standardization of processes Goals of the European Union: Comprehensive view on the migration and asylumsituation situation Harmonization of European strategic policy & legislation Task for the European Commission: "Pilot Implementation" of the European Migration Network EMN w.r.t. Contact Information Publications Legislation Statistics NCP Local Local Meta NCP Local Local Meta Country A Global Meta - EMN - Central Information Integration Service NCP Local Local Meta Fraunhofer ISST Institut Software- und Systemtechnik CIS Country B Country C C

3 Lessons Learned from the Experiences BIZYCLE Vision based development is essential in order to guarantee flexible, stable and sustainable solutions Meta definition, standardization and management is essential in order to allow for exchange and integration Semantic concepts help to improve real semantic integration Graphical languages help in faster perception of complex structures and relations and often help to avoid inception phase errors Methodology & technology platform for enterprise-wide (even: cross-enterprise) integration of software solutions and components in business intelligence Transparent access to all business relevant applications (Semi-) Automatized integration of applications for various kinds of business process improvement Cross-system system evaluation of enterprise relevant (KPIs..) Object-oriented paradigm helps to unify structural () view and dynamic (functions, processes, interactions, ti workflows) views Rich middleware platforms are essential in order to allow for complex interoperability (e.g. transactions, security, ) Solid mathematical / theoretical background is absolutely useful BIZYCLE slogan: P l u g a n d P l a y Y o u r B u s i n e s s! TU Berlin: Methods, Tools and Infractructure for the Component Integration Platform of BIZYCLE DIMA TU Berlin 10 BIZYCLE Philosophy and Methodology 2006 BIZYCLE Platform Architecture 2006 s are modeled at different abstraction levels: Computation independent model level () Platform independent model level () Platform specific model level (PSM) Integration methodology: Component/Interface Analysis Platform Specific (Meta-) s Transformation to Platform Independent (Meta-) s Conflict Analysis Generation Structure <<>> Component A 2 <<PSM>> Component A 1 Behavior -Based Framework <<>> Component B <<PSM>> Component B Property Conflicts Conflict 3 4 <<>> 5 <<PSM>> Component A Component B DIMA TU Berlin DIMA TU Berlin 12

4 BIZYCLE -Based Integration Process Computation Independent Metamodel (M) Domain Specialist Platform Specialists (DB, SAP, XML, J2EE) Business Architect To capture business scenarios with control and flow, scenario requirements, and to support conflict analysis on business understanding level SM ontology editor PSM PSM PSM interface editor interface extractor process editor M2M transformation ti (ATL) Code Integration Specialist CM M2C transformation (JET) conflict analyzer DIMA TU Berlin DIMA TU Berlin 14 Example Web shop and Payment System Control Node Business Interface Function Business Activity Object Edge Created with MBIF DIMA TU Berlin DIMA TU Berlin 16

5 DIMA TU Berlin DIMA TU Berlin DIMA TU Berlin DIMA TU Berlin 20

6 DIMA TU Berlin DIMA TU Berlin DIMA TU Berlin DIMA TU Berlin 24

7 BIZYCLE integration process BIZYCLE integration process Computation Independent Computation Independent Extraction, ing Platform specific PSM DB PSM J2EE PSM WS PSM XSD DIMA TU Berlin DIMA TU Berlin 26 BIZYCLE integration process BIZYCLE integration process Computation Independent Computation Independent Extraction, ing Extraction, ing Platform dl Platform specific transformation independent Platform dl Platform specific transformation independent PSM DB PSM DB PSM J2EE PSM WS PSM XSD PSM J2EE PSM WS PSM XSD Conflict Analysis Code Code generation DIMA TU Berlin DIMA TU Berlin 28

8 Semantic in BIZYCLE Semantic in BIZYCLE Computation Independent Computation Independent Extraction, ing (1) Extraction, ing Platform dl Platform specific transformation independent Platform dl Platform specific transformation independent (1) Annotation (2) PSM DB PSM DB PSM J2EE PSM WS PSM XSD Conflict Analysis Code Code generation PSM J2EE PSM WS PSM XSD Conflict Analysis Code Code generation DIMA TU Berlin DIMA TU Berlin 30 Semantic in BIZYCLE Ontologies in BIZYCLE Extraction, ing Computation Independent Platform dl Platform specific transformation independent PSM DB PSM J2EE PSM WS PSM XSD flict Analy ysis Sema antic Conf (3) (1) Annotation (2) Code Code generation Semantic Metamodel domain specific language for integration knowledge represenation Semantic Concepts DomainObjects: Knowledge about DomainFunctions: Knowledge about functionality Semantic Relations Generalization Data processing Containment Data sets Equivalence DIMA TU Berlin DIMA TU Berlin 32

9 Semantic Annotation Linking model elements to semantic concepts Data-oriented annotation Functional annotation,, PSM DB, PSM J2EE, PSM WS, PSM XSD, Semantic Annotation Types Single representation annotation DB column CUSTNAME ----> Customer name Containment annotation AddressParameter ----> {Street,Town,Postal Code} Compositional annotation {Field Firstname, Field Lastname} ----> Name Multiple representation annotation DB column CUSTNAME ----> Customer name Identifier Annotation Alternative annotation CustParameter ----> Active Customer Inactive Customer DIMA TU Berlin DIMA TU Berlin 34 Match integration scenario requirements against Investigate semantic compatibility of the underlying Match integration scenario requirements against Investigate semantic compatibility of the underlying DIMA TU Berlin DIMA TU Berlin 36

10 Match integration scenario requirements against Investigate semantic compatibility of the underlying Match integration scenario requirements against Investigate semantic compatibility of the underlying Annotation Annotation DIMA TU Berlin DIMA TU Berlin 38 Match integration scenario requirements against Investigate semantic compatibility of the underlying Match integration scenario requirements against Investigate semantic Annotation compatibility Comparison of the underlying Customer Data Containment Annotation CUST_NAME_ADR Containment Annotation DIMA TU Berlin DIMA TU Berlin 40

11 Match integration scenario requirements against Investigate semantic Annotation compatibility Comparison of the underlying Customer Data Containment Match integration scenario requirements against Investigate semantic compatibility of the underlying CD_NA Single representation Mapping Annotation CD_AD Single representation Mapping Conflict Analysis Mapping Annotation DIMA TU Berlin DIMA TU Berlin 42 Match integration scenario requirements against Investigate semantic compatibility of the underlying Match integration scenario requirements against Investigate semantic Semantic compatibility Reasoning of the underlying Customer Data Conflict Analysis Annotation CD_NA CD_AD CD_EM Conflict Analysis Annotation Mapping DIMA TU Berlin DIMA TU Berlin 44

12 Conclusions & Future Work References (H. Agt wrt. Semantic Analysis) Achievements of BIZYCLE Stable meta on,, PSM levels for the purpose of (semi-) automatic software & component/ integration Conceptual approaches towards model-based software & integration (MBSDI) AND (via industrial i partners) practically proven BIZYCLE tool MBIF: high degree of automation (cf. ECDMA 2009) in Support for integration scenario analysis, description & modelling Systematic conflict analysis process Automated technical model extraction Automated model transformation () Code generation Support for reuse, evolution and maintenance Interface descriptions Transformations BIZYCLE Repository of meta,, model transformations, SW-artefacts, (cf. MODELS 2008) AND (!) presented today! Concepts and support for semantic annotations & semantic conflict analysis Open Issues / Future Work Performance (-> Labs GmbH) Scalability l at design time, i.e. model refinement/abstraction/extension, and orthogonal combination Automated semantic annotation / creation of ontologies and others: BIZWARE (project starting Sept. 2010) dllb d Agt, H., Widiker, J., Bauhoff, G., Milanovic, N., Kutsche, R.: -based for Software- and Data-integration Scenarios. Forschungsbericht 2009/7, Technische Universität Berlin (2009) Agt, H., Bauhoff, G., Cartsburg, M., Kumpe, D., Kutsche, R., Milanovic, i N.: Metamodeling Foundation for Software and Data Integration. In: Proc. 8th International Conference on Information Systems Technology and Applications (ISTA). (2009) Picture credits: SAP Deutschland AG & Co. KG; ABAP-CODE; Sun Micro Inc.; Oracle Corporation; Altova DIMA TU Berlin DIMA TU Berlin 46 BIZWARE Solution for the complete software-lifecycle [Sorry, in German language, taken from assessment center with German ministry of research (BMBF) ] BIZWARE our future or a future disaster? technische DSLs P3 P4 fachliche DSLs P6 P9 P7 P10 P5 P8 P1 Legende: Input BIZWARE l und P1 P2 Fabrik Laufzeitumgebung Softwarefabrik P3 DSL Geräte P4 DSL Nutzeroberfläche P5 DSL Data Warehouse gen. Werkzeug P6 P7 P8 DSL Health DSL Rückversicherung DSL Facility Management P9 DSL Fertigung etgu g P10 Refactoring Bestandssystem gen gen gen gen Mit BIZWARE erstellte Anwendungen: eriert eriert Komponenten eriert eriert Konnektoren P2 Laufzeitumgebung P10 Software Lebenszyklus: Komponenten Komponenten Anwendungen entwickeln integrieren betreiben DIMA TU Berlin DIMA TU Berlin 48

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