  A mashup is a combination of information from more than one source, mixed up
in a way to create something new, or at least useful. Anyone can find mashups
on the internet, but these are always specifically designed for a predefined
purpose. To change that fact, we implemented a new platform we called the SMART
platform. SMART enables the user to make his own choices as for the REST web
services he needs to call in order to build an intelligent personalized mashup,
from a Google-like simple search interface, without needing any programming
skills. In order to achieve this goal, we defined an ontology that can hold
REST web services descriptions. These descriptions encapsulate mainly, the
input type needed for a service, its output type, and the kind of relation that
ties the input to the output. Then, by matching the user input query keywords,
with the REST web services definitions in our ontology, we can find registered
services individuals in this ontology, and construct the raw REST query for
each service found. The wrap up from the keywords, into semantic definitions,
in order to find the matching service individual, then the wrap down from the
semantic service description of the found individual, to the raw REST call, and
finally the wrap up of the result again into semantic individuals, is done for
two main purposes: the first to let the user use simple keywords in order to
build complex mashups, and the second to benefit from the ontology inference
engine in a way, where services instances can be tied together into an
intelligent mashup, simply by making each service output individuals, stand as
the next service input.
