Abstract
| Original language | English |
|---|---|
| Title of host publication | Semantic Sensor Networks 2011 |
| Subtitle of host publication | Proceedings of the 4th International Workshop on Semantic Sensor Networks |
| Editors | Kerry Taylor, Arun Ayyagari, David De Roure |
| Publisher | CEUR |
| Pages | 55-68 |
| Publication status | Published - 23 Oct 2011 |
| Event | 4th International Workshop on Semantic Sensor Networks, SSN 2011 - Bonn, Germany Duration: 23 Oct 2011 → 23 Oct 2011 Conference number: 4 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR.org |
| Volume | 839 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 4th International Workshop on Semantic Sensor Networks, SSN 2011 |
|---|---|
| Abbreviated title | SSN |
| Country | Germany |
| City | Bonn |
| Period | 23/10/11 → 23/10/11 |
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Keywords
- METIS-306576
- Sensor Aggregation
- Semantic Enablement
- Linked Data
Cite this
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Aggregating Linked Sensor Data. / Stasch, Christoph; Schade, Sven; Llaves, Alejandro; Janowicz, K.; Bröring, Arne.
Semantic Sensor Networks 2011: Proceedings of the 4th International Workshop on Semantic Sensor Networks. ed. / Kerry Taylor; Arun Ayyagari; David De Roure. CEUR, 2011. p. 55-68 (CEUR Workshop Proceedings; Vol. 839).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Aggregating Linked Sensor Data
AU - Stasch, Christoph
AU - Schade, Sven
AU - Llaves, Alejandro
AU - Janowicz, K.
AU - Bröring, Arne
PY - 2011/10/23
Y1 - 2011/10/23
N2 - Sensor observations are usually oered in relation to a specific purpose, e.g., for reporting fine dust emissions, following strict procedures, and spatio-temporal scales. Consequently, the huge amount of data gathered by today's public and private sensor networks is most often not reused outside of its initial creation context. Fostering the reusability of observations and derived applications calls for (i) spatial, temporal, and thematic aggregation of measured values, and (ii) easy integration mechanisms with external data sources. In this paper, we investigate how work on sensor observation aggregation can be incorporated into a Linked Data framework focusing on external linkage as well as provenance information. We show that Linked Data adds new aspects to the aggregation problem, e.g., whether external links from one of the original observations can be preserved for the aggregate. The Stimulus-Sensor- Observation (SSO) ontology design pattern is extended by classes and relations necessary to model the aggregation of sensor observations.
AB - Sensor observations are usually oered in relation to a specific purpose, e.g., for reporting fine dust emissions, following strict procedures, and spatio-temporal scales. Consequently, the huge amount of data gathered by today's public and private sensor networks is most often not reused outside of its initial creation context. Fostering the reusability of observations and derived applications calls for (i) spatial, temporal, and thematic aggregation of measured values, and (ii) easy integration mechanisms with external data sources. In this paper, we investigate how work on sensor observation aggregation can be incorporated into a Linked Data framework focusing on external linkage as well as provenance information. We show that Linked Data adds new aspects to the aggregation problem, e.g., whether external links from one of the original observations can be preserved for the aggregate. The Stimulus-Sensor- Observation (SSO) ontology design pattern is extended by classes and relations necessary to model the aggregation of sensor observations.
KW - METIS-306576
KW - Sensor Aggregation
KW - Semantic Enablement
KW - Linked Data
M3 - Conference contribution
T3 - CEUR Workshop Proceedings
SP - 55
EP - 68
BT - Semantic Sensor Networks 2011
A2 - Taylor, Kerry
A2 - Ayyagari, Arun
A2 - De Roure, David
PB - CEUR
ER -