Stefania Galizia's profile document
Description for Stefania Galizia
Stefania Galizia
Stefania Galizia
Stefania
Galizia
Research Fellow
I was a researcher involved in projects concerning the semantic web services. In particular, I am interested in modelling and representing, by ontological descriptions, web services communication.
The Open University account for Stefania Galizia
sg4278
Stefania Galizia's membership at KMi
Stefania Galizia's participation in Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
KMi's Semantic Web Services framework
The Internet Reasoning Service - IRS - is a Semantic Web Services framework, which allows applications to semantically describe and execute web services. The IRS supports the provision of semantic reasoning services within the context of the Semantic Web.
Stefania Galizia's participation in DIP
DIP
DIP
2004-01-01
2006-12-31
Data, Information and Process Integration with Semantic Web Services
DIP is an Integrated Project under the European Commission's 6th Framework Programme.The mission of DIP is to further develop Semantic Web and Web Service technologies for Semantic Web Services. DIP will define and implement additional layers of functionality on top of the current Web Service technology stack. Additionally, DIP will apply Semantic Web Services infrastructure to real world scenarios within e-work, e-commerce and e-government.
http://dip.semanticweb.org
Stefania Galizia's participation in Living Human Digital Library
Living Human Digital Library
Living Human Digital Library
2006-02-01
2009-01-31
Technical infrastructure for the Living Human Project
LHDL is a STREP Project under the European Commission's 6th Framework Programme. It starts in February 2006 and runs for 3 years.
The major mission of LHDL is to further develop interactive digital library services to access collections of complex biomedical data on the musculoskeletal apparatus.
LHDL aims to create the technical infrastructure for the Living Human Project (LHP). LHP will create a silico model of the human musculo-skeletal apparatus wich can predict how mechanical forces are exchanged internally and externally, from the whole body down to the protein level. This model should be designed as an infrastructure that can be updated and extended whenever new data and algorithms become available. LHDL aims to develop this infrastructure.