Abstract
There are various ways and corresponding tools that the marine biologist community uses for identifying one species. Species identification is essentially a decision making process comprising steps in which the user makes a selection of characters, figures or photographs, or provides an input that restricts other choices, and so on, until reaching one species. In many cases such decisions should have a specific order, as in the textual dichotomous identification keys. Consequently, if a wrong decision is made at the beginning of the process, it could exclude a big list of options. To make this process more flexible (i.e. independent of the order of selections) and less vulnerable to wrong decisions, in this paper we investigate how an exploratory search process, specifically a Preference-enriched Faceted Search (PFS) process, can be used to aid the identification of species. We show how the proposed process covers and advances the existing methods. Finally, we report our experience from applying this process over data taken from FishBase, the most popular source for marine resources. The proposed approach can be applied over any kind of objects described by a number of attributes.
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References
Nimis, P.L., Vignes-Lebbe, R. (eds): Tools for identifying biodiversity: progress and problems. In: Proceedings of the International Congress, Paris, September 20–22, x+455 p. EUT Edizioni Università di Trieste, Trieste (2010)
Fafalios, P., Salampasis, M., Tzitzikas, Y.: Exploratory patent search with faceted search and configurable entity mining. In: Proceedings of the 1st International Workshop on Integrating IR Technologies for Professional Search, in Conjunction with the 35th European Conference on Information Retrieval (ECIR 2013), Moscow, Russia, March 2013
Papadakos, P., Tzitzikas, Y.: Hippalus: preference-enriched faceted exploration. In: ExploreDB 2014 Proceedings of the 1st International Workshop on Exploratory Search in Databases and the Web Co-located with EDBT/ICDT 2014, Athens, Greece, March 2014
Papadakos, P., Tzitzikas, Y.: Comparing the Effectiveness of Intentional Preferences Versus Preferences Over Specific Choices: A User Study. International Journal of Information and Decision Sciences, Interscience Publishers (to appear)
Saco, G.M., Tzitzikas, Y. (eds.) Dynamic Taxonomies and Faceted Search: Theory, Practice and Experience. Springer (2009)
Tzitzikas, Y., Papadakos, P.: Interactive Exploration of Multidimensional and Hierarchical Information Spaces with Real-Time Preference Elicitation. Journal Fundamenta Informaticae 122(4), 357–399 (2013)
Sacco, G.M.: E-Rare: Interactive diagnostic assistance for rare diseases through dynamic taxonomies. In: Database and Expert Systems Application, DEXA 2008 Workshops. IEEE (2008)
Bailly, N., Reyes, R., Atanacio, R., Froese, R.: Simple identification tools in fishbase. In: Nimis, P.L., Vignes-Lebbe, R. (eds.): Tools for Identifying Biodiversity: Progress and Problems. Proceedings of the International Congress, Paris, September 20-22. EUT Edizioni Università di Trieste, Trieste, pp. 31–36 (2010)
Pankhurst, R.J.: Practical Taxonomic Computing, xi + 202 p. Cambridge University Press (1991)
Fischer, J. (ed.): Fish Identification Tools for Biodiversity and Fisheries Assessments: Review and Guidance for Decision-makers. Fisheries and Aquaculture Technical Paper No. 585, Rome: FAO, 107 p. (2013)
Griffing, L.R.: Who Invented The Dichotomous Key? Richard Waller’s Watercolors of the Herbs of Britain. Am. J. Bot. 98(12), 1911–1923 (2011)
Renaud, C.B.: Lampreys of the world. An Annotated and Illustrated Catalogue of Lamprey Species Known to Date. FAO Species Catalogue for Fishery Purposes No. 5. FAO, Rome, 109 p. (2011)
Qarabaqi, B., Riedewald, M.: User-driven refinement of imprecise queries. In: Proceedings of 30th International Conference of Data Engineering ICDE 2014, Chicago, U.S.A., pp. 916–927, March 2014
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Tzitzikas, Y., Bailly, N., Papadakos, P., Minadakis, N., Nikitakis, G. (2015). Species Identification Through Preference-Enriched Faceted Search. In: Garoufallou, E., Hartley, R., Gaitanou, P. (eds) Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-24129-6_7
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DOI: https://doi.org/10.1007/978-3-319-24129-6_7
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