research-article

Enabling Linked Data access to the Internet of Things

Authors:

Timofey Ermilov and

Sören AuerAuthors Info & Claims

IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

December 2013

Pages 300 - 308

https://doi.org/10.1145/2539150.2539157

Published: 02 December 2013 Publication History

Abstract

The term Internet of Things refers to the vision, that all kinds of physical objects are uniquely identifiable and have a virtual representation on the Internet. We present an approach for equipping embedded and smart devices on the Internet of Things with a Linked Data interface. The approach is based on mapping existing structured data on the device to vocabularies and ontologies and exposing this information as dereferencable RDF directly from within the device. As a result, all smart devices (e.g. tablets, smartphones, TVs) can easily provide standardized structured information and become first class citizens on the Data Web. A particular specific requirement when dealing with smart and embedded devices is resource constraints. Our evaluation shows, that the overhead introduced by equipping a device with a Linked Data interface is neglectable given modern software and hardware environments.

References

[1]

L. Atzori, A. Iera, and G. Morabito. The internet of things: A survey. Computer Networks, 54(15):2787--2805, 2010.

Digital Library

[2]

N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy consumption in mobile phones: a measurement study and implications for network applications. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference, pages 280--293. ACM, 2009.

Digital Library

[3]

F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. E. Gruber. Bigtable: A distributed storage system for structured data. ACM Transactions on Computer Systems (TOCS), 26(2):4, 2008.

Digital Library

[4]

S.-C. Chou, W.-T. Hsieh, F. L. Gandon, and N. M. Sadeh. Semantic web technologies for context-aware museum tour guide applications. In Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on, volume 2, pages 709--714. IEEE, 2005.

Digital Library

[5]

D. Guinard and V. Trifa. Towards the web of things: Web mashups for embedded devices. In Workshop on Mashups, Enterprise Mashups and Lightweight Composition on the Web (MEM 2009), in proceedings of WWW (International World Wide Web Conferences), Madrid, Spain, 2009.

[6]

S. R. Jeffery, G. Alonso, M. J. Franklin, W. Hong, and J. Widom. A pipelined framework for online cleaning of sensor data streams. In Data Engineering, 2006. ICDE'06. Proceedings of the 22nd International Conference on, pages 140--140. IEEE, 2006.

Digital Library

[7]

S. Madden and M. J. Franklin. Fjording the stream: An architecture for queries over streaming sensor data. In Data Engineering, 2002. Proceedings. 18th International Conference on, pages 555--566. IEEE, 2002.

Digital Library

[8]

C. Mascolo, L. Capra, S. Zachariadis, and W. Emmerich. Xmiddle: a data-sharing middleware for mobile computing. Wireless Personal Communications, 21(1):77--103, 2002.

Digital Library

[9]

B. McBride. Jena: A semantic web toolkit. Internet Computing, IEEE, 6(6):55--59, 2002.

Digital Library

[10]

C. Ratti, S. Williams, D. Frenchman, and R. Pulselli. Mobile landscapes: using location data from cell phones for urban analysis. ENVIRONMENT AND PLANNING B PLANNING AND DESIGN, 33(5):727, 2006.

[11]

H. Story, B. Harbulot, I. Jacobi, and M. Jones. Foaf+ssl: Restful authentication for the social web. In Proceedings of the First Workshop on Trust and Privacy on the Social and Semantic Web (SPOT2009), 2009.

[12]

V. Terziyan. Semantic web services for smart devices in a "global understanding environment". In On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops, pages 279--291. Springer, 2003.

[13]

N. Thiagarajan, G. Aggarwal, A. Nicoara, D. Boneh, and J. P. Singh. Who killed my battery?: analyzing mobile browser energy consumption. In Proceedings of the 21st international conference on World Wide Web, pages 41--50. ACM, 2012.

Digital Library

[14]

S. Tramp, P. Frischmuth, T. Ermilov, S. Shekarpour, and S. Auer. An architecture of a distributed semantic social network. Semantic Web, 2011.

[15]

J. Unbehauen, S. Hellmann, S. Auer, and C. Stadler. Knowledge extraction from structured sources. In S. Ceri and M. Brambilla, editors, Search Computing - Broadening Web Search, volume 7538 of Lecture Notes in Computer Science, pages 34--52. Springer, 2012.

Digital Library

[16]

J. Unbehauen, C. Stadler, and S. Auer. Accessing relational data on the web with sparqlmap. In JIST, 2012.

[17]

R. van Engelen. Code generation techniques for developing light-weight xml web services for embedded devices. In Proceedings of the 2004 ACM symposium on Applied computing, pages 854--861. ACM, 2004.

Digital Library

[18]

F. Wang, S. Liu, P. Liu, and Y. Bai. Bridging physical and virtual worlds: complex event processing for rfid data streams. In Advances in Database Technology-EDBT 2006, pages 588--607. Springer, 2006.

Digital Library

[19]

X. Wang, J. S. Dong, C. Chin, S. R. Hettiarachchi, and D. Zhang. Semantic space: An infrastructure for smart spaces. Computing, 1(2):67--74, 2002.

[20]

W. H. Wu, A. A. Bui, M. A. Batalin, L. K. Au, J. D. Binney, and W. J. Kaiser. Medic: Medical embedded device for individualized care. Artificial Intelligence in Medicine, 42(2):137--152, 2008.

Digital Library

Cited By

Božić BWiniwarter WDiCiano M(2014)A Social Networking Platform for Semantic Time Series ProcessingProceedings of the 16th International Conference on Information Integration and Web-based Applications & Services10.1145/2684200.2684297(97-106)Online publication date: 4-Dec-2014
https://dl.acm.org/doi/10.1145/2684200.2684297

Index Terms

Enabling Linked Data access to the Internet of Things
1. Information systems
  1. Information retrieval
    1. Search engine architectures and scalability
      1. Distributed retrieval
      2. Peer-to-peer retrieval
  2. Information storage systems
    1. Storage architectures
      1. Distributed storage

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cover image ACM Other conferences

IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

December 2013

753 pages

ISBN:9781450321136

DOI:10.1145/2539150

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

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Published: 02 December 2013

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IIWAS '13

IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services

December 2 - 4, 2013

Vienna, Austria

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Cited By

Božić BWiniwarter WDiCiano M(2014)A Social Networking Platform for Semantic Time Series ProcessingProceedings of the 16th International Conference on Information Integration and Web-based Applications & Services10.1145/2684200.2684297(97-106)Online publication date: 4-Dec-2014
https://dl.acm.org/doi/10.1145/2684200.2684297

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