Abstract
This paper describes the problem of keyword-based search over environmental data sources. Based on a number of assumptions that simplify this general problem, a prototype of a search engine for environmental data was designed, implemented and evaluated. This first solution serves as a proof of concept that illustrates its applicability in different domains, for both expert and non-expert users. The requirements analysis undertaken and the subsequent design and implementation helped in the identification of a number of new research challenges.
This article is based upon work from COST Action KEYSTONE IC1302, supported by COST (European Cooperation in Science and Technology).
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References
Baker-Austin, C., Trinanes, J.A., Taylor, N.G., Hartnell, R., Siitonen, A., Martinez-Urtaza, J.: Emerging vibrio risk at high latitudes in response to ocean warming. Nature Clim. Change 3(1), 73–77 (2013)
Balmin, A., Hristidis, V., Papakonstantinou, Y.: ObjectRank: authority-based keyword search in databases. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases, vol. 30, pp. 564–575. VLDB Endowment (2004)
Álvarez-Castro, D., Viqueira, J.R., Bugarín, A.: Aproximación a la búsqueda basada en términos sobre conjuntos de datos medioambientales. In: Molina, J.J.G. (ed.) XXI Jornadas de Ingeniería del Software y Bases de Datos, V Congreso Español de Informática, pp. 381–384. Ediciones Universidad de Salamanca (2016)
Chaudhuri, S., Das, G., Hristidis, V., Weikum, G.: Probabilistic information retrieval approach for ranking of database query results. ACM Trans. Database Syst. 31(3), 1134–1168 (2006)
Chaudhuri, S., Ramakrishnan, R., Weikum, G.: Integrating DB and IR technologies: what is the sound of one hand clapping? In: Second Biennial Conference on Innovative Data Systems Research (CIDIR 2005), Asilomar, CA, USA, pp. 1–12, 4–7 January 2005
Chen, L., Cong, G., Jensen, C.S., Wu, D.: Spatial keyword query processing: an experimental evaluation. In: Proceedings of the 39th international conference on Very Large Data Bases, PVLDB 2013, pp. 217–228. VLDB Endowment (2013)
Croft, W., Metzler, D., Strohman, T.: Search Engines: Information Retrieval in Practice. Pearson, Upper Saddle River (2010)
Janowicz, K., Scheider, S., Pehle, T., Hart, G.: Geospatial semantics and linked spatiotemporal data - past, present, and future. Semant. Web 3(4), 321–332 (2012)
Jones, C.B., Purves, R.S.: Geographical information retrieval. Int. J. Geogr. Inf. Sci. 22(3), 219–228 (2008)
Lowen, A.C., Mubareka, S., Steel, J., Palese, P.: Influenza virus transmission is dependent on relative humidity and temperature. PLOS Pathog. 3(10), 1–7 (2007). https://doi.org/10.1371/journal.ppat.0030151
Patroumpas, K., Giannopoulos, G., Athanasiou, S.: Towards geospatial semantic data management: strengths, weaknesses, and challenges ahead. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 301–310. ACM, New York (2014)
Regueiro, M.A., Viqueira, J.R., Stasch, C., Taboada, J.A.: Semantic mediation of observation datasets through sensor observation services. Future Gener. Comput. Syst. 67, 47–56 (2017)
Vilches-Blázquez, L.M., Villazón-Terrazas, B., Corcho, O., Gómez-Pérez, A.: Integrating geographical information in the linked digital earth. Int. J. Digit. Earth 7(7), 554–575 (2014)
Yu, J.X., Qin, L., Chang, L.: Keyword search in relational databases: a survey. IEEE Data Eng. Bull. 33(1), 67–78 (2010)
Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
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Álvarez-Castro, D., Viqueira, J.R.R., Bugarín, A. (2018). Towards Keyword-Based Search over Environmental Data Sources. 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_10
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