Semantics-based services for a low carbon society: An application on
  emissions trading system data and scenarios management
  A low carbon society aims at fighting global warming by stimulating synergic
efforts from governments, industry and scientific communities. Decision support
systems should be adopted to provide policy makers with possible scenarios,
options for prompt countermeasures in case of side effects on environment,
economy and society due to low carbon society policies, and also options for
information management. A necessary precondition to fulfill this agenda is to
face the complexity of this multi-disciplinary domain and to reach a common
understanding on it as a formal specification. Ontologies are widely accepted
means to share knowledge. Together with semantic rules, they enable advanced
semantic services to manage knowledge in a smarter way. Here we address the
European Emissions Trading System (EU-ETS) and we present a knowledge base
consisting of the EREON ontology and a catalogue of rules. Then we describe two
innovative semantic services to manage ETS data and information on ETS
scenarios.
