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Business Process Management and Semantic Technologies

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Title: Business Process Management and Semantic Technologies


1
Business Process Management and Semantic
Technologies
  • B. Ramamurthy

2
Plan for today
  • Web Interface Design Lets analyze an example
    from Netbeans samples
  • Mid term review
  • Chapter 10 relating SOA?BPM?Semantic Technologies

3
Introduction
  • Business Process Management refers to activities
    performed by enterprises to optimize and adapt
    their business processes.
  • Business process (BP) is an activity in a company
    that uses resources and can involve the
    activities of different departments.
  • BP has been there for sometime but new impetus
    has been brought by BPMS, software tools, etc.
  • Management of BP involves their design, execution
    and monitoring.

4
Business Process Management
  • BP Design capture of existing processes and
    repositories to store process models.
  • BP Execution uses interfaces and human
    intervention to execute the defined processes.
  • BP Monitoring involves tracking of individual
    processes so that their state can be observed.
  • Traditional BPM is confined to the boundaries of
    a business.
  • The chapter defines a Collaborative Business
    Model (CBM) that extends BPM beyond the
    boundaries of a business.
  • ? exploits semantic web services composition
    engines to do so.

5
Design of Collaborative Processes
Modeling Business Process I
Partner 1
SWS Composition
Lowering
Lifting
Final CBP
Manual Adaptation
CBP Generator
Alignment
Modeling Business Process II
Partner II
6
Designing CBP
  • The authors recommend using (semantic) Web
    Services (WS) composition to semi-automatically
    design a Collaborative Business Process (CBP).
  • Lifting transforming BP to WS
  • Lowering transforming WS to BP

7
Semantic Web Services (SWS) Composition
  • A semantic WS composition (service-enabling)
    works on semantically enriched descriptions of
    Web Services.

8
Web service definition
  • Web service description is in a WSDL
  • WSDL consists of the definition of independent,
    atomic and stateless operations
  • Operations, messages, ports and data types
  • Data types are in XML schema (XSD)
  • Messages are input and output messages
  • WSDL definition will facilitate technical
    integration of services.
  • Observe that WSDL does not have any information
    about behavioral semantics of a web services
    operation

9
Semantic WS definition
  • The components of the semantic web service
    definition include a formal description of WS
    functionality, its inputs and outputs and its
    behavioral requirements.
  • The formal definition of SWS includes an
    annotation which is expressed by using ontology.
  • Ontology consists of concepts, realtions and
    axioms.

10
SWS definition Languages
  • OWL-S
  • WSMO (WS Modeling Ontology)
  • METEOR-S
  • WSDL-S

11
WSMO
  • Each WS description in WSMO contains a capability
  • The capability describes WSs functionality
  • It is used for discovery and selection of
    appropriate services for a specific task as a
    WSMO goal.
  • Choreography in WSMO describes behavioral
    requirements. This is different from choreography
    in WS-Choreography standard.

12
SWS Composition
  • The business partners participating in the
    composition provide SWS in, out and
    capabilities in ontological terms.
  • These are fed into the WS composition engine.
  • Semantic engine looks for equivalent concepts in
    the behavior descriptions and connects them.
  • After identifying matching concepts, the
    composition engine connects fitting input and
    output.
  • Result of this process is
  • Business processes that contains steps from both
    partners
  • Interconnection via mapping activities
  • Other inputs and outputs that could not be
    connected as above
  • Composition is successful when there are no more
    unconnected input and output.

13
Lifting
  • Transforming process description into format used
    by SWS composition engine.
  • This is achieved by mapping the process
    descriptions to the elements of an ontology.
  • Two parts lifting in and out messages and
    lifting process description

14
Ontology
  • A very nice formal description is given in p.214
    and Fig. 10.2
  • Lets understand this.

15
Lifting WSDL messages
Domain ontology
msim
matcher1
msim
Alignment
XSDs
Aggregation
matcherN
Schema matching component
16
Lifting (contd.)
  • The architecture of the schema lifting component
    that creates the alignment between XML schema and
    the ontology
  • This takes XML schema and domain ontology as
    input and yields an alignment As?o
  • N matchers are used
  • distance matcher
  • Synonym matcher
  • Data type matcher
  • Linguistic matcher
  • Related entities matcher
  • The outputs of matching then are aggregated to
    provide SWS.

17
Lowering
  • The CBP is defined as the process steps of the
    respective partners plus their appropriate
    interconnections.
  • This step is quite straight forward.
  • The composition did not alter the original
    process structure in the partners.

18
Execution of CBP
  • We know how to generate CBP
  • How to execute CBP?
  • Fig. 10.5
  • Fig. 10.6 shows examples of mapping extraction
  • Types of rules used in mapping
  • Move, join, merge, split, replicate

19
Mapping rules
move
merge
replication
Lifting from source schema
Lifting from target schema
20
Deployment and execution of Partner processes
  • See fig. 10.9
  • Two businesses execute the CBP designed by
    invoking the WS offered by the partners
  • Each partner has an execution environment
    controlling only the execution of their
    respective CBP.
  • Mediation is a important process during execution.

21
Overall Procedure
  • 10.9, p.227

22
Implementation
  • We studied the design of CBP.
  • Lets examine the implementation details.
  • Design using Maestro which is a part of SAP
    Research business process management tool suite.
  • Each partner can create its own business process.
  • Can be exported, discussed and interconnected
    with partners processes.
  • Can be manually adapted (connected if needed)
  • Workflow orchestrations can be created using a
    special tool called ILOG
  • Lifting ? ILOG ? Orchestration Alignment ?
    Lowering
  • WSDL and WS are deployed using Johnson, Gabriel
    and Nehemiah tools
  • Finalization is needed before actual deployment
    in runtime.

23
Demo Scenario
  • Carrier Shipper Process
  • Involves three parties a customer, a shipper and
    a carrier
  • Fig. 10.10 10.13
  • Interfaces, notifications. Contractual
    agreements, fulfillments need to be related.

24
Cost-benefit comparison
  • Agreement on common business terms
  • Design CBPs using heterogeneous business
    processes
  • Executing CBPs using heterogeneous message
    formats
  • All these save time and effort in manual
    processing transformations
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