PUBLIC MARKS with search modeling

The mission of the Object Memory Modeling Incubator Group is to define an object memory format, which allows for modeling of events or other information about individual physical artifacts - ideally over their lifetime - and which is explicitly designed to support data storage of those logs on so-called smart labels attached to the physical artifact.

Reality Mining defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.

The original Reality Mining experiment is one of the largest mobile phone projects attempted in academia. Our research agenda takes advantage of the increasingly widespread use of mobile phones to provide insight into the dynamics of both individual and group behavior. By leveraging recent advances in machine learning we are building generative models that can be used to predict what a single user will do next, as well as model behavior of large organizations.

James Leigh is an independent software consultant based in Toronto, has experience modeling business problems and concepts in software, and specializes in performance and technology integration. James has a background in semantic web technologies and decentralized networks. He is an active member in the OpenRDF community, and he's a developer of Sesame and Elmo.