Weather-monitoring sensor web for supporting situation awareness

We present a prototype sensor web that uses multiagent, Web, and Semantic Web technologies so that users may maintain awareness of the evolving weather situation as it relates to an activity in which they engage, in this case running. We apply Devlin´s theory of information flow to explain how this system allows a user to maintain situation awareness. Ontologies are critical in this account for the flow of information. The system incorporates weather data into an ontology based on the OGC´s O&M encoding schema and transforms it into data in a Running ontology via alignment of the ontologies. Devlin´s situation semantics explains how the system provides a user with information on the running situation.