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Rethinking ‘Advanced Search’: A New Approach to Complex Query Formulation

  • Tony Russell-RoseEmail author
  • Jon Chamberlain
  • Udo Kruschwitz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11438)

Abstract

Knowledge workers such as patent agents, recruiters and media monitoring professionals undertake work tasks where search forms a core part of their duties. In these instances, the search task often involves the formulation of complex queries expressed as Boolean strings. However, creating effective Boolean queries remains an ongoing challenge, often compromised by errors and inefficiencies. In this demo paper, we present a new approach to query formulation in which concepts are expressed on a two-dimensional canvas and relationships are articulated using direct manipulation. This has the potential to eliminate many sources of error, makes the query semantics more transparent, and offers new opportunities for query refinement and optimisation.

Keywords

Query formulation Advanced search Boolean Search visualisation Professional search 

References

  1. 1.
    Anick, P.G., Brennan, J.D., Flynn, R.A., Hanssen, D.R., Alvey, B., Robbins, J.M.: A direct manipulation interface for boolean information retrieval via natural language query. In: Proceedings of the 13th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 1990, pp. 135–150. ACM, New York, NY, USA (1990).  https://doi.org/10.1145/96749.98015
  2. 2.
    Fishkin, K., Stone, M.C.: Enhanced Dynamic Queries Via Movable Filters, pp. 415–420. ACM Press, New York (1995)Google Scholar
  3. 3.
    Goldberg, J.H., Gajendar, U.N.: Graphical condition builder for facilitating database queries. U.S. Patent No. 7,383,513. 3 (2008)Google Scholar
  4. 4.
    Jones, S.: Graphical query specification and dynamic result previews for a digital library. In: Proceedings of the 11th Annual ACM Symposium on User Interface Software and Technology, UIST 1998, pp. 143–151. ACM, New York, NY, USA (1998).  https://doi.org/10.1145/288392.288595
  5. 5.
    Nitsche, M., Nürnberger, A.: QUEST: querying complex information by direct manipulation. In: Yamamoto, S. (ed.) HIMI 2013. LNCS, vol. 8016, pp. 240–249. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-39209-2_28CrossRefGoogle Scholar
  6. 6.
    Russell-Rose, T., Chamberlain, J., Azzopardi, L.: Information retrieval in the workplace: a comparison of professional search practices. Inf. Process. Manag. 54(6), 1042–1057 (2018).  https://doi.org/10.1016/j.ipm.2018.07.003CrossRefGoogle Scholar
  7. 7.
    Russell-Rose, T., Gooch, P.: 2dsearch: a visual approach to search strategy formulation. In: Proceedings of DESIRES: Design of Experimental Search & Information REtrieval Systems. DESIRES 2018 (2018)Google Scholar
  8. 8.
    Russell-Rose, T., Chamberlain, J.: Real-world expertise retrieval: the information seeking behaviour of recruitment professionals. In: Ferro, N., et al. (eds.) ECIR 2016. LNCS, vol. 9626, pp. 669–674. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-30671-1_51CrossRefGoogle Scholar
  9. 9.
    Russell-Rose, T., Chamberlain, J.: Searching for talent: the information retrieval challenges of recruitment professionals. Bus. Inf. Rev. 33(1), 40–48 (2016)Google Scholar
  10. 10.
    Tait, J.I.: An introduction to professional search. In: Paltoglou, G., Loizides, F., Hansen, P. (eds.) Professional Search in the Modern World. LNCS, vol. 8830, pp. 1–5. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-12511-4_1CrossRefGoogle Scholar
  11. 11.
    de Vries, A.P., Alink, W., Cornacchia, R.: Search by strategy. In: Proceedings of the Third Workshop on Exploiting Semantic Annotations in Information Retrieval, pp. 27–28. ACM (2010)Google Scholar
  12. 12.
    Pazer, J.W.: The importance of the boolean search query in social media monitoring tools. DragonSearch white paper (2013). https://www.dragon360.com/wp-content/uploads/2013/08/social-media-monitoring-tools-boolean-search-query.pdf. (Accessed 22 Mar 2018)
  13. 13.
    Yi, J.S., Melton, R., Stasko, J., Jacko, J.A.: Dust & magnet: multivariate information visualization using a magnet metaphor. Inf. Vis. 4(4), 239–256 (2005).  https://doi.org/10.1057/palgrave.ivs.9500099CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tony Russell-Rose
    • 1
    Email author
  • Jon Chamberlain
    • 2
  • Udo Kruschwitz
    • 2
  1. 1.UXlabs Ltd.WarringtonUK
  2. 2.School of Computer Science and Electronic EngineeringUniversity of EssexColchesterUK

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