Semantic Cities: Beyond Open Data to Models, Standards, and Reasoning
Papers from the 2014 AAAI Workshop
Mark Fox, Freddy Lecue, Sheila McIlraith, Biplav Srivastava, Rosario Uceda-Sosa, Workshop Organizers
Technical Report WS-14-11
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Cities are realizing that opening access to their many data sources and using semantic models to provide a holistic view of this heterogeneous data can unleash economic growth, optimize their operational and strategic goals while addressing computational sustainability issues. We call the cities committed to a semantic infrastructure as a way to integrate, analyze and standardize access to their open data, "semantic cities."
A number of cities (for example, London, Chicago, Washington D.C., Dublin) have made their data publicly available leveraging the technologies and principles from open (linked) data and the semantic web, interconnecting heterogeneous data. These technologies, principles and good practices are maturing and are becoming a perfect playfield for research-grade, scalable and robust AI techniques. This workshop aimed to bring clarity and foster the communication among AI researchers, domain experts and city and local government officials.