Semantic Integration between Context-awareness and Domain Data to Bring Personalized Queries to Legacy Relational Databases

Vinícius Maran, Alencar Machado, Iara Augustin, José Palazzo M. de Oliveira

Abstract

Context-awareness is a key feature in ubiquitous middleware. Mainly, it is applied to adapt services and interfaces of applications that use ubiquitous features. The application of context information to personalize data queries is a recent topic in computing and still presents a large number of challenges. One of the main gaps evidenced by this research field is the lack of integration between context information, which is designed and used by ubiquitous middleware, and domain data, which are frequently persisted in relational databases. This integration is necessary because context can be used as a filter for content query. This position paper presents a motivational scenario that clarifies the necessity of the integration between context, used by ubiquitous middleware, and relational data, a comparison between the state of the art of the field, a list of research opportunities in the field, and a proposal of a framework that uses ontologies to integrate context and domain data, modeled and stored in relational databases.

References

  1. Anderson, K. M.; Hansen, F. A.; Bouvin, N. O., Templates and queries in contextual hypermedia. In: Proceedings of the seventeenth conference on Hypertext and hypermedia. ACM, 2006. p. 99-110.
  2. Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D. A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing, v.6, n.2, p.161-180, 2010.
  3. Bolchini, C; Quintarelli, E; Tanca, L. CARVE: Contextaware automatic view definition over relational databases.Information Systems,v.38,n.1,p.45-67, 2013.
  4. Borst, W., Construction of engineering ontologies for knowledge sharing and reuse. Universiteit Twente, 1997.
  5. Dey et al., A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-computer interaction, v.16, n.2, p.97-166, 2001.
  6. Hahm, G. J. et al. A personalized query expansion approach for engineering document retrieval. Advanced Engineering Informatics, v.28, n.4, p.344-359, 2014.
  7. Hervás, R.; Bravo, J.; Fontecha, J., A Context Model based on Ontological Languages: a Proposal for Information Visualization. JUCS, v. 16, n. 12, p. 1539-1555, 2010.
  8. López-Nores, M. et al. Context-Aware Recommender Systems Influenced by the Users' Health-Related Data. In: User Modeling and Adaptation for Daily Routines. Springer London, 2013. p. 153-173.
  9. Makris, P.; Skoutas, D. N.; Skianis, C. A Survey on Context-Aware Mobile and Wireless Networking: On Networking and Computing Environments' Integration. Communications Surveys & Tutorials, IEEE, v. 15, n. 1, p. 362-386, 2013.
  10. Maran, V., Palazzo M. de Oliveira, J., Pietrobon, R., Augustin, I. Ontology Network Definition for Motivational Interviewing Learning Driven by Semantic Context-Awareness. In Computer-Based Medical Systems, 2015 IEEE 28th I.S. on. p. 264-269.
  11. Maran, V., Machado, A., Augustin, I., Wives, L. K., & de Oliveira, J. P. M. (2015a). Proactive Domain Data Querying based on Context Information in Ambient Assisted Living Environments. In: 17th International Conference on Enterprise Information Systems.
  12. Martinenghi, D.; Torlone, R., Querying context-aware databases. In: Flexible Query Answering Systems. Springer Berlin Heidelberg, 2009. p. 76-87.
  13. Machado, G. M.; Palazzo, J., Context-aware adaptive recommendation of resources for mobile users in a university campus. In: Wireless and Mobile Computing, Networking and Communications, 2014 IEEE 10th International Conference on. p. 427-433.
  14. Perera, C., S. Member, A. Zaslavsky, e P. Christen. Context aware computing for the internet of things: A survey. Communications Surveys & Tutorials, IEEE, v. 16, n. 1, p. 414-454, 2014.
  15. Pretz, K. “Low Completion for MOOCs”. IEEE Roundup. Available at: http://theinstitute.ieee.org/ieee-roundup/o pinions/ieeeroundup/low-completion-rates-for-moocs. 2014.
  16. Quinn, S., Bond, R., & Nugent, C. D. “An Ontology Based Approach to the Provision of Personalized Patient Education”. In: Ambient Assisted Living and Daily Activities. p. 67-74. Springer. 2014.
  17. Rodriguez, N. D. et al., A survey on ontologies for human behavior recognition. ACM Computing Surveys, v. 46, n. 4, p. 43, 2014.
  18. Stavropoulos, T. G. et al. aWESoME: A web service middleware for ambient intelligence. Expert Systems with Applications, v. 40, n. 11, p. 4380-4392, 2013.
  19. Strang, T.; Linnhoff-Popien, C. A context modeling survey. In: Workshop Proceedings. 2004.
  20. Viana, W. et al. Towards the semantic and context-aware management of mobile multimedia. Multimedia Tools and Applications, v. 53, n. 2, p. 391-429, 2011.
  21. W3C Website. Available at: www.w3.org/.
  22. Weiser, M. The computer for the 21st century. Scientific american, v. 265, n. 3, p. 94-104, 1991. Available at: http://doi.acm.org/10.1145/329124.329126.
Download


Paper Citation


in Harvard Style

Maran V., Machado A., Augustin I. and Oliveira J. (2016). Semantic Integration between Context-awareness and Domain Data to Bring Personalized Queries to Legacy Relational Databases . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 238-243. DOI: 10.5220/0005911902380243


in Bibtex Style

@conference{iceis16,
author={Vinícius Maran and Alencar Machado and Iara Augustin and José Palazzo M. de Oliveira},
title={Semantic Integration between Context-awareness and Domain Data to Bring Personalized Queries to Legacy Relational Databases},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={238-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005911902380243},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Semantic Integration between Context-awareness and Domain Data to Bring Personalized Queries to Legacy Relational Databases
SN - 978-989-758-187-8
AU - Maran V.
AU - Machado A.
AU - Augustin I.
AU - Oliveira J.
PY - 2016
SP - 238
EP - 243
DO - 10.5220/0005911902380243