Prometheus — Fuzzy information retrieval for semantic homes and environments

Author

Portmann, Edy ; Andrushevich, Aliaksei ; Kistler, Rolf ; Klapproth, Alexander

Author_Institution

Inf. Syst. Res. Group, Univ. of Fribourg, Fribourg, Switzerland

fYear

2010

fDate

13-15 May 2010

Firstpage

757

Lastpage

762

Abstract

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.

Keywords

Internet; fuzzy set theory; information retrieval; learning (artificial intelligence); mathematics computing; ontologies (artificial intelligence); semantic Web; ubiquitous computing; Internet of Things services; Prometheus framework; artificial intelligence; context-aware data; fuzzy information retrieval; machine learning; ontology; ontology-backed search queries; semantic homes; Artificial intelligence; Humans; Information retrieval; Machine learning; Ontologies; Pervasive computing; Semantic Web; Ubiquitous computing; Web and internet services; World Wide Web; Ambient Assisted Living; Artificial Intelligence; Fuzzy Expert System; Fuzzy Set Theory; Information Retrieval; Internet of Things; Machine Learning; Ontology; Semantic Environment; Semantic Home; Semantic Web; Web Squared;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions (HSI), 2010 3rd Conference on

Conference_Location

Rzeszow

Print_ISBN

978-1-4244-7560-5

Type

conf

DOI

10.1109/HSI.2010.5514482

Filename

5514482