Typical Integration approach has been to map two interfaces. The interfaces can be system level, system to datastore and system to a service (asynchronous
– protocol agnostic).
Inference based Mapping – Semantic Services
Semantic web services are web services which have metadata about the service definition. The service request and response fields are described in the
metadata. The field information can be used for inferring about the services. Inference based mapping is an approach which can map two interfaces given the
metadata about the services. The relationships across the fields can be described using rules, ontological concepts and terms.Service definition or schemas
which describe the interfaces can evolve.
Automated discovery process consists of selection, composition and web based execution of services. Semantic Automatic Discovery and Integration(SADI)
consists of a number of recommendations for how services need to be implemented and described to achieve a set of useful behaviors by leveraging existing
web service standards. SADI best practices are that all service input and output data are RDF instances of OWL Classes.
SAWSDL (Semantic Annotations for WSDL) specification builds semiautomated wrappers around web services to make them SADI compliant. SAWSDL bridges the gap
between of semantic web services and standard web services. SAWSDL provides tags to describe the WSDL Service with semantic annotations.
Semantically Enabled SOA (SESA)
Web service Modelling ontology has ontology and Rule language for semantic web with support for WSMO. Semantic Execution environments have capability in
deploying and executing semantic web services. It is a conceptual model for relevant aspects related to semantic web services. It is an ontology based
framework which supports the deployment and interoperability of semantic web services.
Web service Modelling Language is used for Top Down Process Design and Bottom Up web service description & annotation. It is a formal language that
provides a syntax and semantics for Web service modeling ontology. It provides capability to describe WSMO elements as ontologies, semantic web services,
goals and mediators.
Semantic business process management consists of Semantic Business Process Analysis, Semantic Business Process Modelling,Semantic Business Process Design
and Semantic Business Process Execution. Semantic BPM enhances BPM with semantic technologies to increase the automation in BPM lifecycle. This bridges the
gap between business and IT views on Business Process.
Code Generation based Mapping – Standard based Integration
Templates for Interface Mapping
Out of the box connectors can be the templates which evolved from inference engines for mapping two standard interfaces. The templates are stored in a
repository for standard interfaces with version information.
In Memory Inference
In scenarios of translation between two languages, traditional method is to automate the translation word by word and workflow will be triggered for
review. In the new approach, in memory changes during workflow are stored. In memory inference will help in speed translation and brings down the manual
review of the language translation.
In the data integrations, the fields which describe the customer transaction can be used for loyalty, offers and recommendations. In ecommerce (B2C,B2B,
C2C), system interfaces can be integrated using new approach of inferring the data and using them as recommendations.
Extraction of the data and transforming them for loading the data repository is the traditional approach. The new approach evolving is to store the
transformations evolved from the inference engines for mapping two interfaces. The transformations are stored in the repository. Transformations can be
clustering the data into groups, correlated data transformations, rules, logic and sorting/filtering.
RDF describes the metadata and about resources on the web. RDF documents define relationships in the form of subject-predicate-object triples and other
links. Discovery of structured and unstructured data relationships need to be identified and stored in the repository.The data can be graphs, spatial,
text, sensors and location. A property in OWL is directed binary relation that describes the logic for transitive, symmetric, inverse and functional.
This approach is being used by applications in Intelligence,Bio Informatics,Health Care informatics, Finance and Media.
Bhagvan Kommadi is a Co Founder at Architect Corner. Bhagvan is an experienced CTO who has created Products & Incubation of Product Startups, ISV
Development centers, Center of Excellence (COE) and enterprise solution practices. For over 18 years, he has worked in the areas of enterprise risk
management, enterprise spend management, supply chain planning, enterprise contract management, enterprise marketing management,enterprise mobility,
enterprise content management, enterprise security , service oriented architecture and business process management.