iQbees: Towards Interactive Semantic Entity Search Based on Maximal Aspects

  • Grzegorz Sobczak
  • Mateusz Chochół
  • Ralf Schenkel
  • Marcin Sydow
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9384)


Similar entity search by example is an important task in the area of retrieving information from semantic knowledge bases. In this paper we define a new interactive variant of this problem that is called iQbees for “Interactive Query-by-Example Entity Search” and is an extension of a previous QBEES approach. We also present a working on-line prototype demo which implements the proposed approach.


Similar entity search Query by example Semantic knowledge base Interactive search QBEES Demo Diversity 



We would like to thank Steffen Metzger, who provided the substantial part of the code of the back-end of the current state of the demo implementation. This work is partially supported by the Polish National Science Centre grant 2012/07/B/ST6/01239 and partially supported by the European Union under the European Social Fund Project PO KL “Information technologies: Research and their interdisciplinary applications”, Agreement UDA-POKL.04.01.01-00-051/10-00.


  1. 1.
    Albertoni, R., Martino, M.D.: Asymmetric and context-dependent semantic similarity among ontology instances. J. Data Semant. 10, 1–30 (2008)zbMATHGoogle Scholar
  2. 2.
    Balog, K., Serdyukov, P., de Vries, A.P.: Overview of the TREC 2011 entity track. In: TREC (2011)Google Scholar
  3. 3.
    Bron, M., Balog, K., de Rijke, M.: Example based entity search in the web of data. In: Serdyukov, P., Braslavski, P., Kuznetsov, S.O., Kamps, J., Rüger, S., Agichtein, E., Segalovich, I., Yilmaz, E. (eds.) ECIR 2013. LNCS, vol. 7814, pp. 392–403. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  4. 4.
    Demartini, G., Iofciu, T., de Vries, A.P.: Overview of the INEX 2009 entity ranking track. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2009. LNCS, vol. 6203, pp. 254–264. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  5. 5.
    Jayaram, N., Gupta, M., Khan, A., Li, C., Yan, X., Elmasri, R.: GQBE: querying knowledge graphs by example entity tuples. In: IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, 31 March - 4 April, pp. 1250–1253 (2014)Google Scholar
  6. 6.
    Jeh, G., Widom, J.: SimRank: a measure of structural-context similarity. In: KDD, pp. 538–543 (2002)Google Scholar
  7. 7.
    Metzger, S., Schenkel, R., Sydow, M.: Qbees: query by entity examples. In: Proceedings of the 22nd ACM International Conference on Conference on Information #38; Knowledge Management, CIKM 2013, pp. 1829–1832. ACM, New York, NY, USA (2013)Google Scholar
  8. 8.
    Mottin, D., Lissandrini, M., Velegrakis, Y., Palpanas, T.: Exemplar queries: give me an example of what you need. PVLDB 7(5), 365–376 (2014)Google Scholar
  9. 9.
    Mottin, D., Lissandrini, M., Velegrakis, Y., Palpanas, T.: Searching with XQ: the exemplar query search engine. In: International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, 22–27 June 2014, pp. 901–904 (2014)Google Scholar
  10. 10.
    Sydow, M., Pikula, M., Schenkel, R.: The notion of diversity in graphical entity summarisation on semantic knowledge graphs. J. Intel. Inf. Syst. 41, 109–149 (2013)CrossRefGoogle Scholar
  11. 11.
    Yu, X., Sun, Y., Norick, B., Mao, T., Han, J.: User guided entity similarity search using meta-path selection in heterogeneous information networks. In: CIKM, pp. 2025–2029 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Grzegorz Sobczak
    • 1
  • Mateusz Chochół
    • 2
  • Ralf Schenkel
    • 3
  • Marcin Sydow
    • 1
    • 2
  1. 1.Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  2. 2.Polish-Japanese Institute of Information TechnologyWarsawPoland
  3. 3.Universität PassauPassauGermany

Personalised recommendations