Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2015 / Cilt: 21 Sayı: 5

Personalizing Domain Model by Using Policy

Alan Modelinin Politika Kullanılarak Kişiselleştirilmesi

Pages
162–171
Publication Date
2015-10-30
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Abstract

Nowadays, the information that can be accessed online is increasing exponentially. However, this increase in the amount of information brings difficulties to users to access information relevant with their preferences in an effective way. These difficulties could be overcomed with providing customized information or service to an individual by using personalization approach. Profiling is the basis of personalization approach and the representation of person specific information. In a user-adaptive system, personalized results will be reached according to the user’s needs after a profile specific search. In this work, semantically rich profiles are created to present personal context and developed user profiles are integrated with policies to provide a rule-based personalization. Thus, personalized information will be achieved in an effective way through profile based constraints.

Özet

Günümüzde, çevrimiçi olarak erişilen bilgi üstsel olarak artmaktadır. Bilgi miktarındaki bu artış, kullanıcıların tercihleri ile uyumlu bilgiye etkin bir şekilde erişmesini zorlaştırmaktadır. Bu zorluklar, kişiselleştirme yaklaşımı kullanılarak, bireye özel bilginin ya da servisin sunulması ile aşılabilir. Kişiselleştirme yaklaşımının temeli, kişiye özel bilgiyi temsil eden profil yapısıdır. Kullanıcı-uyarlanabilir bir sistemde, profil tipine özgü bir aramanın sonucunda, kullanıcı ihtiyaçlarına göre kişiselleştirilmiş sonuçlara ulaşılacaktır. Bu çalışmada, kişisel içeriğin sunulması amacı ile anlamsal olarak zengin profiller oluşturulmakta ve geliştirilen kullanıcı profilleri, politikalar ile entegre edilerek kural-tabanlı bir kişiselleştirme sağlanmaktadır. Böylelikle, profili temel alan kısıtlar yardımı ile kişiselleştirilmiş bilgiye erişim etkin bir şekilde gerçekleştirilecektir.

Keywords
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Cite This Article

Can, Ö., Bursa, O., Ünalı, M. (2015). Personalizing Domain Model by Using Policy. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 21 Sayı: 5, 162–171. https://doi.org/10.5505/pajes.2014.96158

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References (78)

  1. Object
  2. http://www.omg.org/spec/MOF/2.4.1/ (26 Ekim 2015). Facility (MOF). [2] Brickley D,
  3. Friend-of-A-Friend (FOAF).
  4. https://www.foaf-project.org (20 Ocak 2014). [3] Kagal L, Finin T, Joshi A. “A Policy Language for a
  5. Pervasive Computing Environment”. In IEEE 4th
  6. International Workshop on Policies for Distributed Systems
  7. and Networks, 63-74. 4-6 June, 2003. [4] Protégé Ontoloji Editörü. http://protege.stanford.edu/
  8. (20 Ocak 2014). [5] FatSecret, Calories Nutrition All Things about food and diet.
  9. (20 Ocak 2014). [6] SPARQL Query Language for RDF. Ocak
  10. https://www.w3.org/TR/rdf-sparql-query 2014). (20 [7] Ameen A, Ur Rahman Khan K, Rani BP. “Semantic Web
  11. Personalization: A Survey”. Information and Knowledge
  12. Management, 2(6), 95-105, 2012. [8] Baldoni M, Baroglio C, Henze N. “Personalization for the
  13. Semantic Web”. In Proceedings of the First International
  14. Conference on Reasoning Web (REWERSE 2005),
  15. LNCS, (3564), 173-212, 2005. [9] Durao F, Dolog P, Jahn K. “State of the Art:
  16. Personalization”. Knowledge in a Wiki Project, 2008. [10] Chen H, Perich F, Chakraborty D, Finin T, Joshi A.
  17. “Intelligent Agents Meet Semantic Web in a Smart
  18. Meeting Room”. In Proceedings of the 3rd International
  19. Joint Conference on Autonomous Agents and Multiagent
  20. Systems (AAMAS 2004), Washington DC, USA, 2004. [11] Middleton SE, Shadbolt NR, De Roure DC. “Ontological
  21. User Profiling in Recommender Systems”. ACM
  22. Transactions on Information Systems, 22(1), 54-88, 2004. [12] Leung KWT, Lee DL, Lee Wang-Chien, “Personalized Web
  23. Search with Location Preferences”. IEEE 26th International
  24. Conference on Data Engineering (ICDE), Long Beach
  25. California, USA. 1-6 March 2010. [13] Skillen KL, Chen L, Nugent CD, Donnelly MP, Burns W,
  26. Solheim I. “Ontological User Profile Modeling for Context- Aware
  27. Proceedings of the 6th International Conference on
  28. Ubiquitous Computing and Ambient Intelligence, Vitoria
  29. Gasteiz, Spain, 3-5 December 2012. UCAmI'12 [14] Tapucu D, Can O, Bursa O, Unalir MO. “Metamodeling
  30. Approach to Preference Management in the Semantic
  31. Web”. 4th Multidisciplinary Workshop on Advances in
  32. Preference Handling (M-PREF 2008) (In conjunction with
  33. AAAI 2008), Chicago, Illinois, USA, 13-14 July 2008. [15] Royer JC, Willrich R, Diaz M. “User Profile-Based
  34. Authorization Policies for Network QoS Services”.
  35. Seventh IEEE International Symposium on Network
  36. Computing and Applications, Cambridge, Massachusetts,
  37. USA, 10-12 July 2008. [16] Iqbal Z, Noll J. “Toward User-Centric Privacy-Aware User
  38. Profile Ontology for Future Services”. Third International
  39. Conference on Communication Theory, Reliability, and
  40. Quality of Service (CTRQ), Athens, TBD, Greece,
  41. 13-19 June 2010. [17] Agostini A, Bettini C, Cesa-Bianchi N, Maggiorini D, Riboni
  42. D. “Integrated Profile and Policy Management for Mobile
  43. Oriented Internet Services”. Technical Report Firb-Web
  44. Minds N. TR-WEBMINDS-04, Milan, Italy, 2003. [18] Can O, Bursa O, Unalir MO. “Personalizable Ontology
  45. Based Access Control”. Gazi University Journal of Science,
  46. 23(4), 465-474, 2010, [19] Uszok A, Bradshaw JM, Jeffers R. “KAoS: A Policy and
  47. Domain Services Framework for Grid Computing and
  48. Semantic Web Services”. In Trust Management
  49. (iTrust 2004), Volume 2995 of Lecture Notes in Computer
  50. Science, Oxford, UK, 29 March-1 April, 2004. [20] Dulay N, Lupu E, Sloman M, Damianou N.
  51. “A Policy Deployment Model for the Ponder Language”.
  52. In Proceedings of IEEE/IFIP International Symposium on
  53. Integrated Network Management (IM 2001), UK, May 2001. [21] Tonti G, Bradshaw JM, Jeffers R, Montanari R, Suri N,
  54. Uszok A. “Semantic Web Languages for Policy
  55. Representation and Reasoning: A Comparison of KAoS,
  56. Rei, and Ponder”. International Semantic Web Conference, Florida,
  57. 20-23 October 2013. USA, [22] Lasierra N, Alesanco A, Guillen S, Garcia J. “A Three Stage
  58. Ontology-Driven Solution to Provide Personalized Care to
  59. Chronic Patients at Home”. Journal of Biomedical
  60. Informatics, 46(3), 516-529, 2013. [23] Ueda M, Takahata M, Nakajima S. “User’s Food Preference Extraction for
  61. Recommendation”. 2nd International Workshop on Semantic
  62. Retrieval and Recommendation SPIM, Bonn, Germany, 23
  63. 24 October 2011. Cooking Recipe Personalized Information Management: [24] Hella L, Krogstie J. “Personalisation by Semantic Web
  64. Technology in Food Shopping”. In Proceedings of the
  65. International Conference on Web Intelligence, Mining and
  66. Semantics (WIMS’11), Sogndal, Norway, May 25-27, 2011. [25] Can Ö. Anlamsal Web İçin Kişiselleştirilebilir Ontoloji
  67. Tabanlı Erişim Denetimi ve Politika Yönetimi.
  68. Doktora Tezi, Ege Üniversitesi, İzmir, Türkiye, 2009. [26] Can Ö, Sezer E, Bursa O, Ünalır MO. “Personalized
  69. Vaccination using Ontology Based Profiling”. 7th Metadata
  70. and Semantics Research Conference (MTSR 2013), CCIS
  71. 390, Thessaloniki, Greece, 19-22 November 2013. [27] Snae C, Brückner, M. “FOODS: A Food-Oriented Ontology
  72. Driven System”. 2nd IEEE International Conference on
  73. Digital Ecosystems and Technologies (DEST 2008),
  74. Phitsanulok, 26-29 February 2008. [28] Cantais J, Dominguez D. Gigante V, Laera L, Tamma V.
  75. “An Example of Food Ontology for Diabetes Control”.
  76. Proceedings of the International Semantic Web Conference
  77. 2005 Workshop on Ontology Patterns for the Semantic
  78. Web”, Galvay, Ireland, 7 November 2005. Ek A yer Makale http://semanticweb.ege.edu.tr/ontology ulaşılabilmektedir. alan ontolojilere adresinden