dc.description.abstract |
Most of the data in the internet are markup for text and
graphics
in HTML format and are driven by syntax. These data are displayed
to the user but the computers are concern there is no meaning of
these data. If we semantically annotate data in the internet, then
the computers can process these data in meaningful ways and increase
the usability of the data. In this project a possible architecture
for a semantics based middleware agent (broker) will be looked at,
which has the capabilities to serve web service requests by searching
through a larger space of web services. The matching capabilities
of a semantics based broker are much higher than any of the syntax
based middleware frameworks in the market today like UDDI.
In this project, we will be using two of the current semantic web
technologies OWL (Ontology Web Language) and OWL-Services. Once the
broker receives a client request that contains the capabilities and
input/output specification of a web service client wishes to invoke,
it will read OWL-S descriptions of the services registered to the
broker and try to find a direct match. If it is unable to find one
the broker uses its powerful inference capabilities (not available
in conventional syntax based middleware) to dynamically compose a
set of available services together into a new service.
Our IntelliBroker works as a true broker in the sense that client
may even not know what the invoked services are. In executing the
created composite service, the broker has the ability to exploit
any parallelism between the child services and return results to
the client faster. The broker will convert OWL types to SOAP messages
and vice versa using XSLT (eXtensible Style Language Transformations).
This paper focuses on the design and the architectural of our system.
We implemented the system with Java language and used Axis framework
for publishing and executing web services. Jena API was used to manipulate
OWL data and the Pellet engine was used for the reasoning |
en_US |