Prometheus Framework for Fuzzy Information Retrieval in Semantic Spaces

Andrushevich, Aliaksei; Fercu, Michael; Hopf, Jörn; Portmann, Edy; Klapproth, Alexander (2012). Prometheus Framework for Fuzzy Information Retrieval in Semantic Spaces. In: Hippe, Zdzislaw; Kulikowski, Juliusz L.; Mroczek, Tteresa (eds.) Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing: Vol. 99 (pp. 183-199). Springer 10.1007/978-3-642-23187-2_12

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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.

Item Type:

Book Section (Book Chapter)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Portmann, Edy

Subjects:

600 Technology > 650 Management & public relations

ISBN:

978-3-642-23172-8

Series:

Advances in Intelligent and Soft Computing

Publisher:

Springer

Projects:

[378] Cognitive Cities

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

16 Apr 2014 09:28

Last Modified:

02 Nov 2015 09:32

Publisher DOI:

10.1007/978-3-642-23187-2_12

Related URLs:

BORIS DOI:

10.7892/boris.45583

URI:

https://boris.unibe.ch/id/eprint/45583

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