Enabling semantic technology empowered smart spaces

Research output: Contribution to journalArticleScientificpeer-review

25 Citations (Scopus)

Abstract

It has been proposed that Semantic Web technologies would be key enablers in achieving context-aware computing in our everyday environments. In our vision of semantic technology empowered smart spaces, the whole interaction model is based on the sharing of semantic data via common blackboards. This approach allows smart space applications to take full advantage of semantic technologies. Because of its novelty, there is, however, a lack of solutions and methods for developing semantic smart space applications according to this vision. In this paper, we present solutions to the most relevant challenges we have faced when developing context-aware computing in smart spaces. In particular the paper describes (1) methods for utilizing semantic technologies with resource restricted-devices, (2) a solution for identifying real world objects in semantic technology empowered smart spaces, (3) a method for users to modify the behavior of context-aware smart space applications, and (4) an approach for content sharing between autonomous smart space agents. The proposed solutions include ontologies, system models, and guidelines for building smart spaces with the M3 semantic information sharing platform. To validate and demonstrate the approaches in practice, we have implemented various prototype smart space applications and tools.
Original languageEnglish
Number of pages14
JournalJournal of Computer Networks and Communications
Volume2012
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

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Semantics
Space applications
Intelligent buildings
Semantic Web
Ontology

Cite this

@article{74b846123cbf40ed8910b35c8e4a99f2,
title = "Enabling semantic technology empowered smart spaces",
abstract = "It has been proposed that Semantic Web technologies would be key enablers in achieving context-aware computing in our everyday environments. In our vision of semantic technology empowered smart spaces, the whole interaction model is based on the sharing of semantic data via common blackboards. This approach allows smart space applications to take full advantage of semantic technologies. Because of its novelty, there is, however, a lack of solutions and methods for developing semantic smart space applications according to this vision. In this paper, we present solutions to the most relevant challenges we have faced when developing context-aware computing in smart spaces. In particular the paper describes (1) methods for utilizing semantic technologies with resource restricted-devices, (2) a solution for identifying real world objects in semantic technology empowered smart spaces, (3) a method for users to modify the behavior of context-aware smart space applications, and (4) an approach for content sharing between autonomous smart space agents. The proposed solutions include ontologies, system models, and guidelines for building smart spaces with the M3 semantic information sharing platform. To validate and demonstrate the approaches in practice, we have implemented various prototype smart space applications and tools.",
author = "Jussi Kiljander and Arto Ylisaukko-oja and Janne Takalo-Mattila and Matti Etel{\"a}per{\"a} and Juha-Pekka Soininen",
note = "Project code: 76525",
year = "2012",
doi = "10.1155/2012/845762",
language = "English",
volume = "2012",
journal = "Journal of Computer Networks and Communications",
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Enabling semantic technology empowered smart spaces. / Kiljander, Jussi; Ylisaukko-oja, Arto; Takalo-Mattila, Janne; Eteläperä, Matti; Soininen, Juha-Pekka.

In: Journal of Computer Networks and Communications, Vol. 2012, 2012.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Kiljander, Jussi

AU - Ylisaukko-oja, Arto

AU - Takalo-Mattila, Janne

AU - Eteläperä, Matti

AU - Soininen, Juha-Pekka

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AB - It has been proposed that Semantic Web technologies would be key enablers in achieving context-aware computing in our everyday environments. In our vision of semantic technology empowered smart spaces, the whole interaction model is based on the sharing of semantic data via common blackboards. This approach allows smart space applications to take full advantage of semantic technologies. Because of its novelty, there is, however, a lack of solutions and methods for developing semantic smart space applications according to this vision. In this paper, we present solutions to the most relevant challenges we have faced when developing context-aware computing in smart spaces. In particular the paper describes (1) methods for utilizing semantic technologies with resource restricted-devices, (2) a solution for identifying real world objects in semantic technology empowered smart spaces, (3) a method for users to modify the behavior of context-aware smart space applications, and (4) an approach for content sharing between autonomous smart space agents. The proposed solutions include ontologies, system models, and guidelines for building smart spaces with the M3 semantic information sharing platform. To validate and demonstrate the approaches in practice, we have implemented various prototype smart space applications and tools.

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