This paper introduces a novel vision for further enhanced Internet of Things services. Based on a variety of data (such as location data, ontology-backed search queries, in- and outdoor conditions) the Prometheus framework is intended to support users with helpful recommendations and information preceding a search for context-aware data. Adapted from artificial intelligence concepts, Prometheus proposes user-readjusted answers on umpteen conditions. A number of potential Prometheus framework applications are illustrated. Added value and possible future studies are discussed in the conclusion. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Andrushevich, A., Fercu, M., Hopf, J., Portmann, E., & Klapproth, A. (2012). Prometheus framework for fuzzy information retrieval in semantic spaces. Advances in Intelligent and Soft Computing, 98, 183–199. https://doi.org/10.1007/978-3-642-23187-2_12
Mendeley helps you to discover research relevant for your work.