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Dagstuhl Seminar Proceedings, Volume 10042

Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)

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published at: 2010-05-18
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document

DOI: 10.4230/DagSemProc.10042.1

10042 Abstracts Collection – Semantic Challenges in Sensor Networks

Authors: Karl Aberer, Avigdor Gal, Manfred Hauswirth, Kai-Uwe Sattler, and Amit P. Sheth

Abstract

From 24.01. to 29.01.2010, the Dagstuhl Seminar 10042 ``Semantic Challenges in Sensor Networks '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Karl Aberer, Avigdor Gal, Manfred Hauswirth, Kai-Uwe Sattler, and Amit P. Sheth. 10042 Abstracts Collection – Semantic Challenges in Sensor Networks. In Semantic Challenges in Sensor Networks. Dagstuhl Seminar Proceedings, Volume 10042, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{aberer_et_al:DagSemProc.10042.1,
  author =	{Aberer, Karl and Gal, Avigdor and Hauswirth, Manfred and Sattler, Kai-Uwe and Sheth, Amit P.},
  title =	{{10042  Abstracts Collection – Semantic Challenges in Sensor Networks}},
  booktitle =	{Semantic Challenges in Sensor Networks},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10042},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.1},
  URN =		{urn:nbn:de:0030-drops-25575},
  doi =		{10.4230/DagSemProc.10042.1},
  annote =	{Keywords: Sensor networks, semantics}
}

Document

DOI: 10.4230/DagSemProc.10042.2

10042 Executive Summary – Semantic Challenges in Sensor Networks

Authors: Karl Aberer, Avigdor Gal, Manfred Hauswirth, Kai-Uwe Sattler, and Amit P. Sheth

Abstract

There has been significant progress in the number and capabilities of mobile devices, wireless sensors, and sensor networks. These developments, combined with the improved ability to bridge between the physical and cyber world in a more seamless way, have fostered the broad availability of sensor data capturing the state of the physical world. Promising and already successful examples are applications in environmental monitoring, agriculture, surveillance and intrusion detection, public security, and supply chain management. Furthermore, ideas towards a Web of sensors have been proposed, which is to be understood as a (large scale) network of spatially distributed sensors. In particular, terms like "Internet of Things", "Collaborating Objects" and "Ambient Intelligence" emphasize the trend towards a tighter connection between the cyber space and the physical world.

Cite as

Karl Aberer, Avigdor Gal, Manfred Hauswirth, Kai-Uwe Sattler, and Amit P. Sheth. 10042 Executive Summary – Semantic Challenges in Sensor Networks. In Semantic Challenges in Sensor Networks. Dagstuhl Seminar Proceedings, Volume 10042, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{aberer_et_al:DagSemProc.10042.2,
  author =	{Aberer, Karl and Gal, Avigdor and Hauswirth, Manfred and Sattler, Kai-Uwe and Sheth, Amit P.},
  title =	{{10042  Executive Summary – Semantic Challenges in Sensor Networks}},
  booktitle =	{Semantic Challenges in Sensor Networks},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10042},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.2},
  URN =		{urn:nbn:de:0030-drops-25569},
  doi =		{10.4230/DagSemProc.10042.2},
  annote =	{Keywords: Sensor networks, semantics}
}

Document

DOI: 10.4230/DagSemProc.10042.3

Multimodality in Pervasive Environment

Authors: Marco Anisetti, Valerio Bellandi, Paolo Ceravolo, and Ernesto Damiani

Abstract

Future pervasive environments are expected to immerse users in a consistent world of probes, sensors and actuators. Multimodal interfaces combined with social computing interactions and high-performance networking can foster a new generation of pervasive environments. However, much work is still needed to harness the full potential of multimodal interaction. In this paper we discuss some short-term research goals, including advanced techniques for joining and correlating multiple data flows, each with its own approximations and uncertainty models. Also, we discuss some longer term objectives, like providing users with a mental model of their own multimodal "aura", enabling them to collaborate with the network infrastructure toward inter-modal correlation of multimodal inputs, much in the same way as the human brain extracts a single self-conscious experience from multiple sensorial data flows.

Cite as

Marco Anisetti, Valerio Bellandi, Paolo Ceravolo, and Ernesto Damiani. Multimodality in Pervasive Environment. In Semantic Challenges in Sensor Networks. Dagstuhl Seminar Proceedings, Volume 10042, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{anisetti_et_al:DagSemProc.10042.3,
  author =	{Anisetti, Marco and Bellandi, Valerio and Ceravolo, Paolo and Damiani, Ernesto},
  title =	{{Multimodality in Pervasive Environment}},
  booktitle =	{Semantic Challenges in Sensor Networks},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10042},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.3},
  URN =		{urn:nbn:de:0030-drops-25665},
  doi =		{10.4230/DagSemProc.10042.3},
  annote =	{Keywords: Pervasive Environment, Uncertainty}
}

Document

DOI: 10.4230/DagSemProc.10042.4

Towards Expressive Stream Reasoning

Authors: Heiner Stuckenschmidt, Stefano Ceri, Emanuele Della Valle, and Frank van Harmelen

Abstract

Stream Data processing has become a popular topic in database research addressing the challenge of efficiently answering queries over continuous data streams. Meanwhile data streams have become more and more important as a basis for higher level decision processes that require complex reasoning over data streams and rich background knowledge. In previous work the foundation for complex reasoning over streams and background knowledge was laid by introducing technologies for wrapping and querying streams in the RDF data format and by supporting simple forms of reasoning in terms of incremental view maintenance. In this paper, we discuss how this existing technologies should be extended toward richer forms of reasoning using Sensor Networks as a motivating example.

Cite as

Heiner Stuckenschmidt, Stefano Ceri, Emanuele Della Valle, and Frank van Harmelen. Towards Expressive Stream Reasoning. In Semantic Challenges in Sensor Networks. Dagstuhl Seminar Proceedings, Volume 10042, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{stuckenschmidt_et_al:DagSemProc.10042.4,
  author =	{Stuckenschmidt, Heiner and Ceri, Stefano and Della Valle, Emanuele and van Harmelen, Frank},
  title =	{{Towards Expressive Stream Reasoning}},
  booktitle =	{Semantic Challenges in Sensor Networks},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10042},
  editor =	{Karl Aberer and Avigdor Gal and Manfred Hauswirth and Kai-Uwe Sattler and Amit P. Sheth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10042.4},
  URN =		{urn:nbn:de:0030-drops-25555},
  doi =		{10.4230/DagSemProc.10042.4},
  annote =	{Keywords: Streaming Data, Reasoning, C-SPARQL, Sensor Networks}
}

Filters

Authors
A
Aberer, Karl
Anisetti, Marco
B
Bellandi, Valerio
C
Ceravolo, Paolo
Ceri, Stefano
D
Damiani, Ernesto
Della Valle, Emanuele
G
Gal, Avigdor
H
Hauswirth, Manfred
S
Sattler, Kai-Uwe
Sheth, Amit P.
Stuckenschmidt, Heiner
V
van Harmelen, Frank

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