6533b7d1fe1ef96bd125cd02

RESEARCH PRODUCT

Knowledge Extraction from Environmental Data Through a Cognitive Architecture

L. GataniGiuseppe Lo ReMarco OrtolaniSalvatore Gaglio

subject

Data processingKnowledge extractionComputer scienceSensor nodeknowledge extraction cognitive architectureCognitive architectureCognitive networkRaw dataWireless sensor networkData scienceEnvironmental data

description

Wireless Sensor Networks represent a novel technology which is expected to experience a dramatic diffusion thanks to the promise to be a pervasive sensory means; however, one of the issues limiting their potential growth relies in the difficulty of managing and interpreting huge amounts of collected data. This paper proposes a cognitive architecture for the extraction of high-level knowledge from raw data through the representation of processed data in opportune conceptual spaces. The presented framework interposes a conceptual layer between the subsymbolic one, devoted to sensory data processing, and the symbolic one, aimed at describing the environment by means of a high level language. The features of the proposed approach are illustrated through the description of a sample application for wildfire detection.

yearjournalcountryeditionlanguage
2008-01-01
https://doi.org/10.1007/978-3-540-74972-1_43