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A Novel Approach for the Population and Adaptation of Ontology-Based User Profiles

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8867))

Abstract

User personalisation within context-aware applications has become increasingly prevalent in recent years. The use of ontologies enriched with semantics has enabled the creation of highly relevant user profiles, which have been used to facilitate the personalisation of assistive services. Existing work highlights the challenge of aiding non-expert users to intuitively manage their own profiles. This paper details a new approach to help enable the automatic creation, population and adaptation of ontology-based user profiles. Primarily, the research aims to create and enrich ontological profiles over time, for the purposes of user personalisation. The approach has been realised through the development of an intuitive desktop application, which has been evaluated through a series of experiments.

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References

  1. Eyharabide, V., Amandi, A.: Ontology-based user profile learning. Appl. Intell. 36, 857–869 (2012)

    Article  Google Scholar 

  2. Skillen, K.-L., Chen, L., Nugent, C.D., Donnelly, M.P., Burns, W., Solheim, I.: Ontological user profile modeling for context-aware application personalization. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds.) UCAmI 2012. LNCS, vol. 7656, pp. 261–268. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Jupp, S., Horridge, M., Iannone, L., Klein, J., Owen, S., Schanstra, J., Wolstencroft, K., Stevens, R.: Populous: A tool for building OWL ontologies from templates. BMC Bioinformatics 13, S5 (2012)

    Google Scholar 

  4. Petasis, G., Karkaletsis, V., Paliouras, G., Krithara, A., Zavitsanos, E.: Ontology population and enrichment: State of the art. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds.) Multimedia Information Extraction. LNCS (LNAI), vol. 6050, pp. 134–166. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  5. Kumar, V., Fensel, A., Fröhlich, P.: Context Based Adaptation of Semantic Rules in Smart Buildings. In: Proceedings of International Conference on Information Integration and Web-based Applications & Services, IIWAS 2013, pp. 719–728 (2013)

    Google Scholar 

  6. MobileSage – Situated Adaptive Guidance for the Mobile Elderly (October 5, 2013), http://mobilesage.eu/

  7. Noy, N.F., Sintek, M., Decker, S., Crubézy, M., Fergerson, R.W., Musen, M.A.: Creating semantic web contents with protege-2000. IEEE Intelligent Systems 16, 60–71 (2001)

    Article  Google Scholar 

  8. Kalyanpur, A., Parsia, B., Sirin, E., Grau, B.C., Hendler, J.: Swoop: A web ontology editing browser. Web Semantics: Science, Services and Agents on the World Wide Web 4, 144–153 (2006)

    Article  Google Scholar 

  9. Farquhar, A., Fikes, R., Rice, J.: The ontolingua server: A tool for collaborative ontology construction. International Journal of Human-Computer Studies 46, 707–727 (1997)

    Article  Google Scholar 

  10. Singh, A., Anand, P.: State of Art in Ontology Development Tools. International Journal of Advances in Computer Science and Technology 2 (2013)

    Google Scholar 

  11. Hitzler, P., Krötzsch, M., Parsia, B., Patel-Schneider, P.F., Rudolph, S.: OWL 2 web ontology language primer. W3C Recommendation 27, 1–123 (2009)

    Google Scholar 

  12. Islam, N., Siddiqui, M.S., Shaikh, Z.A.: TODE: A dot net based tool for ontology development and editing. In: 2010 2nd International Conference on Computer Engineering and Technology (ICCET), pp. V6-229–V6-233 (2010)

    Google Scholar 

  13. Fortuna, B., Grobelnik, M., Mladenic, D.: OntoGen: Semi-Automatic Ontology Editor. In: Smith, M.J., Salvendy, G. (eds.) Human Interface, Part II, HCII 2007. LNCS, vol. 4558, pp. 309–318. Springer, Heidelberg (2007)

    Google Scholar 

  14. Burns, W., Chen, L., Nugent, C.D., Donnelly, M.P., Skillen, K.L., Solheim, I.: Mining usage data for adaptive personalisation of smartphone based help-on-demand services. In: The 6th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), Rhodes Island, Greece (2013)

    Google Scholar 

  15. Jain, A.K.: Data clustering: 50 years beyond K-means. Pattern Recog. Lett. 31, 651–666 (2010)

    Article  Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Skillen, KL., Nugent, C.D., Donnelly, M.P., Chen, L.L., Burns, W., Solheim, I. (2014). A Novel Approach for the Population and Adaptation of Ontology-Based User Profiles. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_46

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  • DOI: https://doi.org/10.1007/978-3-319-13102-3_46

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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