SensoMan: control sensor connected on Arduino and Raspberry Pi microcontroller boards. SensoMan offers a modular architecture to add more sensors, manage collection intervals and get historic values and information! You can download our prototype Android application for testing here.
See relevant publications.
H5CM (HTML5 Context Middleware):Taking into
consideration the necessity of providing cross-platform
access to context information we have designed an HTML5
Context Middleware (H5CM)
to allow developers to reuse existing sensor and reasoner
modules making their code more compact. H5CM is updated with new plugins to provide new functionality. Fork us on GitHub!
See relevant publications.
ContextWS-MDE: model-driven development (MDD) of
context-aware Web Services (WSs) for the construction of
user centric web applications. This approach can be used for
the context-aware development of composite web applications
consisting of web services. It is comprised of a framework
for the context adaptation of web services during
application execution through SOAP message interception and
a methodology for the model-driven development of such
applications using UML notation at the design level and
transformation tools for the mapping to platform specific
code.
See relevant publications.
Context Matchmaker: it deals with the matchmaking
of Web service descriptions aiming at the development of
context-aware Web services and applications. The reuse of
existing service components is an important challenge in the
development of context-aware applications. Web services can
act either as business services (Business Web Services /
BWS) - providing specific functionality - or as context
sources (Context Web Services /CWS) - exposing the retrieval
of context information from various sources. The matchmaking
of Web services for the identification of potential context
sources can alleviate the software engineer's work in the
first development stages. This is achieved by matching
service descriptions capturing different service aspects
based on realistic context adaptation cases
See relevant publications.
