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.
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Notes
- 1.
https://booleanstrings.ning.com/forum/topics/boolean-search-strings-repository, accessed 10 Oct 2018.
- 2.
https://scoperac.com/booleanstringbank, accessed 10 Oct 2018.
- 3.
http://booleanblackbelt.com/2016/01/the-most-powerful-boolean-search-operator, accessed 10 Oct 2018.
- 4.
https://2dsearch.com, accessed 24 Oct 2018.
- 5.
https://www.kidzsearch.com/boolify/, accessed 23 Oct 2018.
- 6.
References
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
Fishkin, K., Stone, M.C.: Enhanced Dynamic Queries Via Movable Filters, pp. 415–420. ACM Press, New York (1995)
Goldberg, J.H., Gajendar, U.N.: Graphical condition builder for facilitating database queries. U.S. Patent No. 7,383,513. 3 (2008)
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
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_28
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.2018.07.003
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)
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_51
Russell-Rose, T., Chamberlain, J.: Searching for talent: the information retrieval challenges of recruitment professionals. Bus. Inf. Rev. 33(1), 40–48 (2016)
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_1
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)
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)
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.9500099
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Russell-Rose, T., Chamberlain, J., Kruschwitz, U. (2019). Rethinking ‘Advanced Search’: A New Approach to Complex Query Formulation. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11438. Springer, Cham. https://doi.org/10.1007/978-3-030-15719-7_31
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