Abstract
In this paper, we present an approach to support exploratory search by structuring search results based on concept lattices, which are created on the fly using advanced methods from the area of Formal Concept Analysis (FCA). The main aim of the approach is to organize query based search engine results (e.g. web documents) as a hierarchy of clusters that are composed of documents with similar attributes. The concept lattice provides a structured view on the query-related domains and hence can improve the understanding of document properties and shared features. Additionally, we applied a fuzzy extension of FCA in order to support the usage of different types of attributes within the analyzed query results set. The approach has been integrated into an interactive web search interface. It provides a smooth integration of keyword-based web search and interactive visualization of concept lattice and its concepts in order to support complex search tasks.
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Notes
- 1.
D3: https://d3js.org/.
- 2.
gojs: https://gojs.net/.
- 3.
Note that \(2^S\) denotes the power set of the set S, i.e., the set of all subsets of S.
References
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg (1999). https://doi.org/10.1007/978-3-642-59830-2
Marchionini, G.: Exploratory search: from finding to understanding. Commun. ACM 49, 41–46 (2006)
Gossen, T., Nitsche, M., Haun, S., Nürnberger, A.: Data exploration for bisociative knowledge discovery: a brief overview of tools and evaluation methods. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 287–300. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31830-6_20
Medina, J., Ojeda-Aciego, M., Ruiz-Calviño, J.: Formal concept analysis via multi-adjoint concept lattices. Fuzzy Set. Syst. 160, 130–144 (2009)
Pocs, J.: Note on generating fuzzy concept lattices via Galois connections. Inf. Sci. 185(1), 128–136 (2012)
Antoni, L., Krajči, S., Krídlo, O., Macek, B., Pisková, L.: On heterogeneous formal contexts. Fuzzy Set. Syst. 234, 22–33 (2014)
Pócs, J., Pócsová, J.: Basic theorem as representation of heterogeneous concept lattices. Front. Comput. Sci. 9(4), 636–642 (2015)
Krajči, S.: Cluster based efficient generation of fuzzy concepts. Neural Netw. World 13(5), 521–530 (2003)
Butka, P., Pocs, J.: Generalization of one-sided concept lattices. Comput. Inform. 32(2), 355–370 (2013)
Kumar, C.A., Srinivas, S.: Concept lattice reduction using fuzzy K-Means clustering. Expert Syst. Appl. 37(3), 2696–2704 (2010)
Antoni, L., Krajči, S., Krídlo, O.: On stability of fuzzy formal concepts over randomized one-sided formal context. Fuzzy Set. Syst. 333, 36–53 (2018)
Kardoš, F., Pócs, J., Pócsová, J.: On concept reduction based on some graph properties. Knowl. Based Syst. 93, 67–74 (2016)
Butka, P., Pócs, J., Pócsová, J.: Reduction of concepts from generalized one-sided concept lattice based on subsets quality measure. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds.) New Research in Multimedia and Internet Systems. AISC, vol. 314, pp. 101–111. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-10383-9_10
Butka, P., Pócs, J., Pócsová, J.: On intent stability index for one-sided concept lattices. In: Proceedings of 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2015), pp. 79–84 (2015)
Butka, P., Pócs, J., Pócsová, J.: Two-step reduction of GOSCL based on subsets quality measure and stability index. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds.) Multimedia and Network Information Systems. AISC, vol. 506, pp. 419–429. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-43982-2_36
Smatana, M., Butka, P., Cöveková, L.: Tree based reduction of concept lattices based on conceptual indexes. In: Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds.) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I. AISC, vol. 521, pp. 211–220. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-46583-8_17
Haun, S., Nürnberger, A., Kötter, T., Thiel, K., Berthold, M.R.: CET: a tool for creative exploration of graphs. In: Balcázar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010. LNCS (LNAI), vol. 6323, pp. 587–590. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15939-8_39
Butka, P., Low, T., Kotzyba, M., Haun, S., Nurnberger, A.: FCA-supported exploratory web search. In: 1st International Symposium on Companion-Technology (ISCT 2015), pp. 131–136 (2015)
Poelmans, J., Ignatov, D.I., Viaene, S., Dedene, G., Kuznetsov, S.O.: Text mining scientific papers: a survey on FCA-based information retrieval research. In: Perner, P. (ed.) ICDM 2012. LNCS (LNAI), vol. 7377, pp. 273–287. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31488-9_22
Carpineto, C., Romano, G.: Exploiting the potential of concept lattices for information retrieval with CREDO. J. Univ. Comput. 10(8), 985–1013 (2004)
Nauer, E., Toussaint, Y.: CreChainDo: an iterative and interactive Web information retrieval system based on lattices. Int. J. Gen. Syst. 38(4), 363–378 (2009)
Spyratos, N., Meghini, C.: Preference-based query tuning through refinement/enlargement in a formal context. In: Dix, J., Hegner, S.J. (eds.) FoIKS 2006. LNCS, vol. 3861, pp. 278–293. Springer, Heidelberg (2006). https://doi.org/10.1007/11663881_16
Butka, P., Pócsová, J., Pócs, J.: A proposal of the information retrieval system based on the generalized one-sided concept lattices. In: Precup, R.E., Kovács, S., Preitl, S., Petriu, E. (eds.) Applied Computational Intelligence in Engineering and Information Technology. Topics in Intelligent Engineering and Informatics, vol. 1, pp. 59–70. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28305-5_5
Acknowledgments
This work was done with the help of Short Term Scientific Mission visit supported by the COST action IC1302 KEYSTONE (semantic KEYword-based Search on sTructured data sOurcEs), and partially within the Transregional Collaborative Research Centre SFB/TRR 62 “A Companion-Technology for Cognitive Technical Systems” funded by the German Research Foundation (DFG) and Slovak VEGA research grant 1/0493/16.
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Butka, P., Low, T., Kotzyba, M., Haun, S., Nürnberger, A. (2018). Exploration of Web Search Results Based on the Formal Concept Analysis. In: Szymański, J., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2017. Lecture Notes in Computer Science(), vol 10546. Springer, Cham. https://doi.org/10.1007/978-3-319-74497-1_12
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