This Article 
 Bibliographic References 
 Add to: 
Mobile Querying of Online Semantic Web Data for Context-Aware Applications
Nov.-Dec. 2011 (vol. 15 no. 6)
pp. 32-39
William Van Woensel, Vrije Universiteit Brussel
Sven Casteleyn, Universitat Politècnica de València
Elien Paret, Vrije Universiteit Brussel
Olga De Troyer, Vrije Universiteit Brussel

Mobile devices are increasingly multifunctional and personal, providing mobile applications with the necessary user information to achieve personalization. At the same time, detection technologies let such devices find nearby physical entities and thus map the user's environment. By exploiting existing online Semantic Web sources about these detected entities, mobile applications can further improve personalization. SCOUT is a mobile application framework that supports linking physical entities to online semantic data sources. It provides applications with an integrated, query-able view on these sources and the user's environment. The authors developed a tailored data management approach to efficiently access these distributed online semantic sources.

1. W. Van Woensel, S. Casteleyn, and O. De Troyer, "A Framework for Decentralized, Context-Aware Mobile Applications Using Semantic Web Technology," OTM Workshops, Springer, 2009, pp. 88–97.
2. S. Casteleyn, W. Van Woensel, and O. De Troyer, "Assisting Mobile Web Users: Client-Side Injection of Context-Sensitive Cues into Websites," Proc. Int'l Conf. Information Integration and Web-Based Applications and Services, ACM Press, 2010, pp. 441–448.
3. C. Weiss, A. Bernstein, and S. Boccuzzo, "i-MoCo: Mobile Conference Guide — Storing and Querying Huge Amounts of Semantic Web Data on the iPhone/iPod Touch," Proc. 7th Int'l Semantic Web Conf., LNCS 5318, Springer, 2008, p. 8.
1. G. Judd and P. Steenkiste, "Providing Contextual Information to Pervasive Computing Applications," Proc. 1st IEEE Int'l Conf. Pervasive Computing and Communication, IEEE CS Press, 2003, pp. 133–142.
2. J. Euzenat, J. Pierson, and F. Ramparany, "Dynamic Context Management for Pervasive Applications," Knowledge Eng. vol. 23, no. 1, 2008, pp. 21–49.
3. S. Chandrasekaran et al., "TelegraphCQ: Continuous Dataflow Processing for an Uncertain World," Proc. 5th Biennial Conf. Innovative Data Systems Research, ACM Press, 2003, p. 668.
4. C. Weiss, P. Karras, and A. Bernstein, "Hexastore: Sextuple Indexing for Semantic Web Data Management," Proc. Very Large Databases Endowment, vol. 1, no. 1, 2008, pp. 1008–1019.
5. Y. Zhang et al., "MQuery: Fast Graph Query via Semantic Indexing for Mobile Context," Proc. Int'l Conf. Web Intelligence and Intelligent Agent Technology, vol. 1, IEEE CS Press, 2010, pp. 508–515.
6. S.J. Lynden et al., "Adaptive Integration of Distributed Semantic Web Data," Proc. 6th Int'l Workshop Databases in Networked Information Systems, Springer, 2010, pp. 174–193.
7. A. Langegger, W. Wöß, and M. Blöchl, "A Semantic Web Middleware for Virtual Data Integration on the Web," Proc. 5th European Semantic Web Conf., Springer, 2009, pp. 493–507.
8. B. Quilitz and U. Leser, "Querying Distributed RDF Datasources with SPARQL," Proc. 5th European Semantic Web Conf., Springer, 2008, pp. 524–538.

Index Terms:
information storage and retrieval, information search and retrieval, information filtering, metadata, mobile applications, location-dependent and sensitive
William Van Woensel, Sven Casteleyn, Elien Paret, Olga De Troyer, "Mobile Querying of Online Semantic Web Data for Context-Aware Applications," IEEE Internet Computing, vol. 15, no. 6, pp. 32-39, Nov.-Dec. 2011, doi:10.1109/MIC.2011.108
Usage of this product signifies your acceptance of the Terms of Use.