DocumentCode
628891
Title
Semantic-enhanced resource discovery for CoAP-based sensor networks
Author
Gramegna, Fabiana ; Ieva, Saverio ; Loseto, Giuseppe ; Pinto, Allan
Author_Institution
DEI, Politec. di Bari, Bari, Italy
fYear
2013
fDate
13-14 June 2013
Firstpage
233
Lastpage
238
Abstract
The integration of knowledge representation and reasoning techniques (originally devised for the Semantic Web) in most common Wireless Sensor Networks (WSNs) protocols can allow to reach higher levels of autonomicity w.r.t. classic network architectures that basically provide only simplistic discovery capabilities. This paper presents a complete Semantic Sensor Network (SSN) framework, supporting a resource discovery based on non-standard inferences. A backward-compatible extension of Constrained Application Protocol (CoAP) has been proposed to support semantic matchmaking for retrieving and ranking resources annotated w.r.t. a reference ontology. Data mining procedures were also exploited to detect high-level events from gathered raw data. A case study on environmental monitoring has been proposed to test the effectiveness of our approach.
Keywords
computerised monitoring; data mining; environmental monitoring (geophysics); inference mechanisms; ontologies (artificial intelligence); protocols; semantic Web; semantic networks; wireless sensor networks; CoAP-based sensor network; SSN; WSN; backward-compatible extension; constrained application protocol; data mining; environmental monitoring; high-level event detection; knowledge reasoning technique; knowledge representation technique; nonstandard inference; reference ontology; resource annotation ranking; resource annotation retrieving; semantic Web; semantic matchmaking; semantic sensor network framework; semantic-enhanced resource discovery; wireless sensor network; Data mining; Ontologies; Protocols; Semantics; Standards; Vehicles; Wireless sensor networks; CoAP; Data mining; Matchmaking; Resource discovery; Semantic Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Sensors and Interfaces (IWASI), 2013 5th IEEE International Workshop on
Conference_Location
Bari
Print_ISBN
978-1-4799-0039-8
Type
conf
DOI
10.1109/IWASI.2013.6576093
Filename
6576093
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