SCRIBE Models and Methodology: Smart Cities Reference Information and Behavior Exchange ontologies - overview
The SCRIBE project has a computer science aspect and a Smarter Planet aspect.
As a computer science project, we are exploring methods to build sets of modular ontologies (using OWL) starting from existing open standards, and we also specify the appropriate methods to compose these sets of ontologies with specific deltas (not built by us) that add and remove from the general purpose ontology for a general well-run client (in our case, a general well-run city), the specifics that could apply to one specific instance of a client (in our case, city) and its current processes and IT infrastructure. This research relates to Knowledge Engineering as well as to Model-Driven Development.
As a Smarter Planet project, we are testing the methodologies and tools being constructed on one very rich problem area: the information flows between discrete agencies and applications and citizens and businesses in cities that choose to collaborate in order to maintain quality of city life at reasonable cost and with minimal disruption.
There is so much that does go on in a city, so many resource flows, so many asset classes, so many roles, so many kinds of sensors and actuators, so many measured Key Performance Indicators, so many unplanned failures or demand surges, so much disruption from severe weather, so many kind of analytics whose results matter to different stakeholders, and so many policies about what information may be collected, must be stored, must not be stored, as well as policies which reflect as constraints on city operations, that this rich domain allows us to study how different parts of our modular ontologies can be built by different teams, at different times, but still be able to be used together.
And our ontologies do not correspond to any single city, but rather support the most common variations from nation to nation as to what services are provided by government, what services are not provided by government, which ones require user fees, which ones do not, which ones occur "on customer demand" and which on "a scheduled basis" etc. This variability is another issue we wish to address.
The SCRIBE project was begin in 2011 by Bob Schloss, Biplav Srivastava, Rosario Uceda-Sosa and we are fortunate to have periodic collaborations with our Research colleague Martin Stephenson in Dublin and our Research colleague Kalapriya Kannan in India.
We can now share the results of this work with academic colleagues, under the name Intelligent Semantic Model Palette. An introduction to our approach was presented at the Semantic Technologies conference held in June 2012 in San Francisco. See slides.