Performance evaluation of south esk hydrological sensor web: Unsupervised machine learning and semantic linked data approach

IEEE Sensors Journal

Volumn 13, Issue 10, 2013, Pages 3806-3815

  Dutta, Ritaban ^a   Morshed, Ahsan ^a,b  

^a CSIRO   (Australia)

^b FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

Author keywords

Linked data; linked open data cloud; ontology; performance map; principal component analysis; resource description framework; sensor network; unsupervised clustering

Indexed keywords

LINKED DATUM; LINKED OPEN DATUM; PERFORMANCE MAPS; RESOURCE DESCRIPTION FRAMEWORK; UNSUPERVISED CLUSTERING;

ARTIFICIAL INTELLIGENCE; DATA HANDLING; DECISION SUPPORT SYSTEMS; KNOWLEDGE MANAGEMENT; ONTOLOGY; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; QUALITY ASSURANCE; SEMANTICS; WORLD WIDE WEB;

SENSOR NETWORKS;

EID: 84883369445     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2013.2264666     Document Type: Article

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