DCOPolis was originally developed to provide a testbed for comparing Distributed Constraint Optimization (DCOP) algorithms in a sterile environment. It was the authors' opinion (along with many in the DCOP community) that existing metrics for comparing solution techniques did not adequately capture the many intricacies inherent in such a problem. A byproduct of this testbed is a framework in which a single representation of a DCOP problem can be solved by a multitude of different solution algorithms, either in simulation or deployed on a live (possibly ad-hoc) network.
An approach focussed on resolving identity of
subjects in a photo using mobile device connectivity
and semantics is presented in this paper. Semantic
Web and mobile device sensors are combined to
provide meaningful photo annotation metadata that
can be used to recall photos from the Web. Useful
metadata can be gleaned from the environment at the
time of capture and inferred from previous metadata
tapped from existing sources.