Domain Ontology Construction Using Web Usage Data

  • Thi Thanh Sang NguyenEmail author
  • Haiyan Lu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9992)


Ontologies play an important role in conceptual model design and the development of machine-readable knowledge bases. They can be used to represent various knowledge not only about content concepts, but also explicit and implicit relations. While ontologies exist for many application domains of websites, the implicit relations between domain and accessed Web-pages might be less concerned and unclear. These relations are crucial for Web-page recommendation in recommender systems. This paper presents a novel method developing an ontology of Web-pages mapped to domain knowledge. It will focus on solutions of semi-automating ontology construction using Web usage data. An experiment of Microsoft Web data is implemented and evaluated.


Domain ontology construction Knowledge representation Web usage data Software products 


  1. 1.
    Antoniou, G., van Harmelen, F.: A Semantic Web Primer. MIT Press, Cambridge (2008)Google Scholar
  2. 2.
    Zhou, B., Hui, S.C., Fong, A.C.M.: Web usage mining for semantic web personalization. In: PerSWeb 2005 Workshop on Personalization on the Semantic Web, Edinburgh, UK (2005)Google Scholar
  3. 3.
    Loizou, A., Dasmahapatra, S.: Recommender systems for the semantic web. In: ECAI 2006 Recommender Systems Workshop, Trento, Italy (2006)Google Scholar
  4. 4.
    Chen, L.-C., Kuo, P.-J., Liao, I.-E.: Ontology-based library recommender system using MapReduce. Cluster Comput. 18(1), 113–121 (2015)CrossRefGoogle Scholar
  5. 5.
    Liu, B.: Information retrieval and web search. In: Liu, B. (ed.) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, pp. 183–236. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Grimm, S., et al.: Ontologies and the semantic web. In: Domingue, J., Fensel, D., Hendler, J.A. (eds.) Handbook of Semantic Web Technologies, pp. 507–580. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  7. 7.
    Liu, B., Mobasher, B., Nasraoui, O.: Web usage mining. In: Liu, B. (ed.) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, pp. 527–603. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Markov, Z., Larose, D.T.: Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage. Wiley, New Britain (2007)CrossRefzbMATHGoogle Scholar
  9. 9.
    Tartir, S., et al.: OntoQA: metric-based ontology quality analysis. In: IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources (2005)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringInternational University – Vietnam National UniversityHochiminh CityVietnam
  2. 2.Decision Systems and e-Service Intelligence (DeSI) Lab, Faculty of Engineering and Information Technology, School of Software, Centre for Quantum Computation and Intelligent Systems (QCIS)University of Technology, SydneyUltimoAustralia

Personalised recommendations