Provenance in the Web of Linked Sensor Data.
Baillie, C.; Edwards, P.; Pignotti, E.; and Reed, R.
In
Digital Futures 2010, 2010.
Paper
link
bibtex
@inproceedings{Baillie2010,
author = {Baillie, Chris and Edwards, Peter and Pignotti, Edoardo and Reed, Richard},
booktitle = {Digital Futures 2010},
keywords = {SSNO\_application,provenance},
mendeley-tags = {SSNO\_application,provenance},
title = {{Provenance in the Web of Linked Sensor Data}},
url = {https://www.horizon.ac.uk/images/stories/p39-Baillie.pdf},
year = {2010}
}
Publishing Linked Sensor Data.
Barnaghi, P.; and Presser, M.
In
The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), 2010.
Paper
link
bibtex
@inproceedings{Barnaghi2010,
author = {Barnaghi, Payam and Presser, Mirko},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
keywords = {SSN,SSNO\_application,linked\_data,mashup,semantic\_sensor\_web},
mendeley-tags = {SSN,SSNO\_application,linked\_data,mashup,semantic\_sensor\_web},
title = {{Publishing Linked Sensor Data}},
url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-668/paper2.pdf},
year = {2010}
}
Machine reasoning about anomalous sensor data.
Calder, M; Morris, R. A; and Peri, F
Ecological Informatics, 5(1): 9–18. 2010.
Paper
doi
link
bibtex
abstract
@article{Calder2010a,
abstract = {We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific domain to which the data belongs. Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of proposed hypotheses that could explain the phenomenon. Hosted on the Jena Semantic Web Framework, the tool is completely domain-agnostic and is made domain-aware by reference to an ontology and Knowledge Base (KB) that together describe the key resources of the system being observed. The KB comprises ontologies for the sensor packages and for the domain; historical data from the network; concepts designed to guide discovery of internet resources unavailable in the local KB but relevant to reasoning about the anomaly; and a set of rules that represent domain expert knowledge of constraints on data from different kinds of instruments as well as rules that relate types of ecosystem events to properties of the ecosystem. We describe an instance of such a system that includes a sensor ontology, some rules describing coastal storm events and their consequences, and how we relate local data to external resources. We describe in some detail how a specific actual eventan unusually high chlorophyll readingcan be deduced by machine reasoning to be consistent with being caused by benthic diatom resuspension, consistent with being caused by an algal bloom, or both.},
author = {Calder, M and Morris, Robert A and Peri, F},
doi = {10.1016/j.ecoinf.2009.08.007},
issn = {15749541},
journal = {Ecological Informatics},
keywords = {SSNO\_application,ontology,programming,sensor},
mendeley-tags = {SSNO\_application,ontology,programming,sensor},
number = {1},
pages = {9--18},
publisher = {Elsevier B.V.},
title = {{Machine reasoning about anomalous sensor data}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S1574954109000715},
volume = {5},
year = {2010}
}
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific domain to which the data belongs. Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of proposed hypotheses that could explain the phenomenon. Hosted on the Jena Semantic Web Framework, the tool is completely domain-agnostic and is made domain-aware by reference to an ontology and Knowledge Base (KB) that together describe the key resources of the system being observed. The KB comprises ontologies for the sensor packages and for the domain; historical data from the network; concepts designed to guide discovery of internet resources unavailable in the local KB but relevant to reasoning about the anomaly; and a set of rules that represent domain expert knowledge of constraints on data from different kinds of instruments as well as rules that relate types of ecosystem events to properties of the ecosystem. We describe an instance of such a system that includes a sensor ontology, some rules describing coastal storm events and their consequences, and how we relate local data to external resources. We describe in some detail how a specific actual eventan unusually high chlorophyll readingcan be deduced by machine reasoning to be consistent with being caused by benthic diatom resuspension, consistent with being caused by an algal bloom, or both.
Programming patterns and development guidelines for Semantic Sensor Grids. Deliverable D5.3v1, SemSorGrid4Env.
De Roure, D. C; Frazer, A. J; Martinez, K.; and Page, K. R
Technical Report SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management, June 2010.
Paper
link
bibtex
@techreport{DeRoureEtAl2010,
author = {{De Roure}, David C and Frazer, Alex J and Martinez, Kirk and Page, Kevin R},
institution = {SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management},
keywords = {OGC\_standards,SSN,SSNO\_application,linked\_data,mashup,observation},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application,linked\_data,mashup,observation},
month = jun,
title = {{Programming patterns and development guidelines for Semantic Sensor Grids. Deliverable D5.3v1, SemSorGrid4Env}},
url = {http://www.semsorgrid4env.eu/files/deliverables/wp5/D5.3v1.pdf},
year = {2010}
}
Combining Process and Sensor Ontologies to Support Geo-Sensor Data Retrieval.
Devaraju, A; Neuhaus, H; Janowicz, K; and Compton, M
In Weibel, R. P. R., editor(s),
Extended Abstracts Volume, GIScience 2010, Zurich, Switzerland, 2010. GIScience
Paper
link
bibtex
@inproceedings{Devaraju2010,
address = {Zurich, Switzerland},
author = {Devaraju, A and Neuhaus, H and Janowicz, K and Compton, M},
booktitle = {Extended Abstracts Volume, GIScience 2010},
editor = {Weibel, Ross Purves; Robert},
keywords = {SSN,SSNO\_application,ontology},
mendeley-tags = {SSN,SSNO\_application,ontology},
publisher = {GIScience},
title = {{Combining Process and Sensor Ontologies to Support Geo-Sensor Data Retrieval}},
url = {http://www.geovista.psu.edu/publications/2010/Devaraju\_GIScience\_10.pdf},
year = {2010}
}
Capture and Management of Hydrometeorological Phenomena Using Sensor Web Concepts and Scientific Workflow.
Guru, S; and Peters, C
Electronic Journal of Structural Engineering, Special Is: 78–89. 2010.
Paper
link
bibtex
@article{Guru2010,
author = {Guru, S and Peters, C},
journal = {Electronic Journal of Structural Engineering},
keywords = {OGC\_standards,SSNO\_application},
mendeley-tags = {OGC\_standards,SSNO\_application},
pages = {78--89},
title = {{Capture and Management of Hydrometeorological Phenomena Using Sensor Web Concepts and Scientific Workflow}},
url = {http://www.ejse.org/Archives/Fulltext/2010/Special/Paper07.pdf},
volume = {Special Is},
year = {2010}
}
Linking Sensor Data - Why, to What, and How?.
Keß ler , C; and Janowicz, K
In Roure, K. T. A. A. D. D., editor(s),
The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), Shanghai, China, 2010.
Paper
link
bibtex
@inproceedings{Kessler2010,
address = {Shanghai, China},
author = {Ke\ss ler, C and Janowicz, K},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
editor = {Roure, Kerry Taylor; Arun Ayyagari; David De},
keywords = {OGC\_standards,SSN,SSNO\_application,linked\_data},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application,linked\_data},
title = {{Linking Sensor Data - Why, to What, and How?}},
url = {http://ceur-ws.org/Vol-668/paper9.pdf},
year = {2010}
}
Developing Registries for the Semantic Sensor Web using stRDF and stSPARQL (short paper).
Kyzirakos, K.; Karpathiotakis, M.; and Koubarakis, M.
In
The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), 2010.
Paper
link
bibtex
@inproceedings{Kyzirakos2010,
author = {Kyzirakos, Kostis and Karpathiotakis, Manos and Koubarakis, Manolis},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
keywords = {CSIRO\_SSN\_ontology,SPARQL,SSNO\_application,programming,semantic\_sensor\_web,stream\_data},
mendeley-tags = {CSIRO\_SSN\_ontology,SPARQL,SSNO\_application,programming,semantic\_sensor\_web,stream\_data},
title = {{Developing Registries for the Semantic Sensor Web using stRDF and stSPARQL (short paper)}},
url = {http://ceur-ws.org/Vol-668/paper8.pdf},
year = {2010}
}
Live linked open sensor database.
Le Phuoc, D.; Parreira, J. X.; Hausenblas, M.; Han, Y.; and Hauswirth, M.
In
Proceedings of the 6th International Conference on Semantic Systems, of
I-SEMANTICS '10, pages 46:1—-46:4, New York, NY, USA, 2010. ACM
Paper
link
bibtex
@inproceedings{Le-Phuoc2010b,
address = {New York, NY, USA},
author = {{Le Phuoc}, Danh and Parreira, Josiane Xavier and Hausenblas, Michael and Han, Yuanbo and Hauswirth, Manfred},
booktitle = {Proceedings of the 6th International Conference on Semantic Systems},
keywords = {SSN,SSNO\_application,linked sensor,linked\_data,mashup,semantic\_sensor\_web,sensor mashup,sensor stream,stream\_data},
mendeley-tags = {SSN,SSNO\_application,linked\_data,mashup,semantic\_sensor\_web,stream\_data},
pages = {46:1----46:4},
publisher = {ACM},
series = {I-SEMANTICS '10},
title = {{Live linked open sensor database}},
url = {http://doi.acm.org/10.1145/1839707.1839763},
year = {2010}
}
A Contextualised Cognitive Perspective for Linked Sensor Data - Short paper.
Leggieri, M.; Passant, A.; and Hauswirth, M.
In
The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), 2010.
Paper
link
bibtex
@inproceedings{Leggieri2010,
author = {Leggieri, Myriam and Passant, Alexandre and Hauswirth, Manfred},
booktitle = {The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010)},
keywords = {SSN,SSNO\_application,linked\_data,ontology,upper\_ontology},
mendeley-tags = {SSN,SSNO\_application,linked\_data,ontology,upper\_ontology},
title = {{A Contextualised Cognitive Perspective for Linked Sensor Data - Short paper}},
url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-668/paper11.pdf},
year = {2010}
}
Implementing the draft W3C semantic sensor network ontology.
O'Byrne, D.; Brennan, R.; and O'Sullivan, D.
In
2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pages 196–201, March 2010. IEEE
Paper
link
bibtex
abstract
@inproceedings{OByrne2010,
abstract = {This paper examines the feasibility of using ontologies to model generic sensor networks, based on the capabilities of the current generation of ontology tools. The creation of such an ontology, the current tool's capacity to adequately maintain it, and its potential functionality, as part of a larger semantic system are addressed here. These topics were addressed by constructing a generic sensor ontology and attempting to implement it as part of a larger semantic system. The process and the conclusions drawn from it are described below.},
author = {O'Byrne, Daniel and Brennan, Rob and O'Sullivan, Declan},
booktitle = {2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)},
keywords = {CSIRO\_SSN\_Ontology,SSNO\_application},
mendeley-tags = {CSIRO\_SSN\_Ontology,SSNO\_application},
month = mar,
pages = {196--201},
publisher = {IEEE},
title = {{Implementing the draft W3C semantic sensor network ontology}},
url = {http://ieeexplore.ieee.org/xpl/freeabs\_all.jsp?arnumber=5470668},
year = {2010}
}
This paper examines the feasibility of using ontologies to model generic sensor networks, based on the capabilities of the current generation of ontology tools. The creation of such an ontology, the current tool's capacity to adequately maintain it, and its potential functionality, as part of a larger semantic system are addressed here. These topics were addressed by constructing a generic sensor ontology and attempting to implement it as part of a larger semantic system. The process and the conclusions drawn from it are described below.
Semantics-based Plug-and-Play Configuration of Sensor Network Services.
Pathan, M.; Taylor, K.; and Compton, M.
In
Proceedings of the 3rd International Semantic Sensor Networks Workshop (SSN10), volume 668, pages 16, Shanghai, China, 2010. CEUR Workshop Proceedings
Paper
link
bibtex
@inproceedings{Pathan2010,
address = {Shanghai, China},
author = {Pathan, Mukaddim and Taylor, Kerry and Compton, Michael},
booktitle = {Proceedings of the 3rd International Semantic Sensor Networks Workshop (SSN10)},
keywords = {SSN,SSNO\_application,self\_configuration,semantic\_sensor\_network,tasking},
mendeley-tags = {SSN,SSNO\_application,self\_configuration,semantic\_sensor\_network,tasking},
pages = {16},
publisher = {CEUR Workshop Proceedings},
title = {{Semantics-based Plug-and-Play Configuration of Sensor Network Services}},
url = {ceur-ws.org/Vol-668/paper5.pdf},
volume = {668},
year = {2010}
}
Provenance Aware Linked Sensor Data.
Patni, H.; Sahoo, S. S; Henson, C.; and Sheth, A.
In
2nd Workshop on Trust and Privacy on the Social and Semantic Web Colocated with ESWC2010 Heraklion Greece, volume 5, 2010. CEUR-WS.org
Paper
link
bibtex
@inproceedings{Patni_Sahoo_Henson_Sheth_2010,
author = {Patni, Harshal and Sahoo, Satya S and Henson, Cory and Sheth, Amit},
booktitle = {2nd Workshop on Trust and Privacy on the Social and Semantic Web Colocated with ESWC2010 Heraklion Greece},
keywords = {OGC\_standards,SSN,SSNO\_application,linked\_data,observation,provenance},
mendeley-tags = {OGC\_standards,SSN,SSNO\_application,linked\_data,observation,provenance},
publisher = {CEUR-WS.org},
title = {{Provenance Aware Linked Sensor Data}},
url = {http://knoesis.wright.edu/library/download/SPOT-Provenance\_Aware\_LSD.pdf},
volume = {5},
year = {2010}
}
Towards Expressive Stream Reasoning.
Stuckenschmidt, H.; Ceri, S.; Valle, E. D.; and van Harmelen, F.
In Aberer, K.; Gal, A.; Hauswirth, M.; Sattler, K.; and Sheth, A. P, editor(s),
Semantic Challenges in Sensor Networks, of
Dagstuhl Seminar Proceedings, Dagstuhl, Germany, 2010. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany
Paper
link
bibtex
@inproceedings{stuckenschmidt_et_al:DSP:2010:2555,
address = {Dagstuhl, Germany},
annote = {Keywords: Streaming Data, Reasoning, C-SPARQL, Sensor Networks},
author = {Stuckenschmidt, Heiner and Ceri, Stefano and Valle, Emanuele Della and van Harmelen, Frank},
booktitle = {Semantic Challenges in Sensor Networks},
editor = {Aberer, Karl and Gal, Avigdor and Hauswirth, Manfred and Sattler, Kai-Uwe and Sheth, Amit P},
issn = {1862-4405},
keywords = {SPARQL,SSNO\_application,stream\_data},
mendeley-tags = {SPARQL,SSNO\_application,stream\_data},
number = {10042},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
series = {Dagstuhl Seminar Proceedings},
title = {{Towards Expressive Stream Reasoning}},
url = {http://drops.dagstuhl.de/opus/volltexte/2010/2555},
year = {2010}
}
A resource model for the real world internet.
Villalonga, C.; Bauer, M.; Aguilar, F. L.; Huang, V. A; and Strohbach, M.
In
Proceedings of the 5th European conference on Smart sensing and context, of
EuroSSC'10, pages 163–176, Berlin, Heidelberg, 2010. Springer-Verlag
Paper
link
bibtex
@inproceedings{Villalonga:2010:RMR:1940159.1940176,
address = {Berlin, Heidelberg},
author = {Villalonga, Claudia and Bauer, Martin and Aguilar, Fernando L\'{o}pez and Huang, Vincent A and Strohbach, Martin},
booktitle = {Proceedings of the 5th European conference on Smart sensing and context},
keywords = {SSN,SSNO\_application,actuator,internet\_of\_things,real world internet,resource,resource description,resource model,sensor and actuator networks},
mendeley-tags = {SSN,SSNO\_application,actuator,internet\_of\_things},
pages = {163--176},
publisher = {Springer-Verlag},
series = {EuroSSC'10},
title = {{A resource model for the real world internet}},
url = {http://www.springerlink.com/index/EJXM56331G8W7RK2.pdf},
year = {2010}
}
Linked Data and Complex Event Processing for the Smart Energy Grid.
Wagner, A.; Anicic, D.; Stühmer, R.; Stojanovic, N.; Harth, A.; and Studer, R.
In
Proc. of Linked Data in the Future Internet at the Future Internet Assembly, Ghent, December 2010. CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
Paper
link
bibtex
@inproceedings{Wagner2010,
address = {Ghent},
author = {Wagner, Andreas and Anicic, Darko and St\"{u}hmer, Roland and Stojanovic, Nenad and Harth, Andreas and Studer, Rudi},
booktitle = {Proc. of Linked Data in the Future Internet at the Future Internet Assembly},
keywords = {SSNO\_application,internet\_of\_things,linked\_data,myOwn CEP iCEP 2010 SmartGrid,stream\_data},
mendeley-tags = {SSNO\_application,internet\_of\_things,linked\_data,stream\_data},
month = dec,
publisher = {CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)},
title = {{Linked Data and Complex Event Processing for the Smart Energy Grid}},
url = {http://linkeddata.future-internet.eu/images/3/37/FIA2010\_Linked\_Data\_and\_Complex\_Event\_Processing\_for\_the\_Smart\_Energy\_Grid.pdf},
year = {2010}
}