Abstract
Recently, many governments have developed open government data portals as a way to facilitate the finding and the access to datasets produced by their agencies. The development of these portals has facilitated the retrieval of this kind of data, but they still have significant limitations. One drawback of current portals concerns the resolution of queries with spatial constraints. Many portals solve spatial queries selecting the datasets that contain in their description the place name informed by the user, which can lead to queries with low recall and precision. Aiming to solve these limitations, we propose a new spatial search engine to improve information retrieval in open government data portals. The main contributions of this work are the development of a system that retrieves OGD at the level of resources and the proposition of a ranking metric that evaluates the relevance of each resource retrieved from a query. We validated the proposed search engine using real data provided by the Brazilian open government data portal. The results obtained from the initial experiments showed that our solution is viable as it can retrieve data with good accuracy for many spatial queries of different granularities.
References
Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. IS Manag. 29, 258–268 (2012)
Ubaldi, B.: Open government data: towards empirical analysis of open government data initiatives. OECD Work. Pap. Public Gov. 22, 61 (2013)
Ding, L., Peristeras, V., Hausenblas, M.: Linked open government data. IEEE Intell. Syst. 27, 11–15 (2012)
Breitman, K., Salas, P., Casanova, M.A., Saraiva, D., Gama, V., Viterbo Filho, J., Magalhães, R.P., Franzosi, E., Chaves, M.: Open government data in Brazil. Intell. Syst. IEEE. 27, 45–49 (2012)
Matheus, R., Ribeiro, M.M., Vaz, J.C.: New perspectives for electronic government in Brazil: the adoption of open government data in national and subnational governments of Brazil. In: Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2012, pp. 22–29. ACM Press (2012)
Oliveira, M.I.S., de Oliveira, H.R., Oliveira, L.A., Lóscio, B.F.: Open government data portals analysis. In: Kim, Y., Liu, S.M. (eds.) Proceedings of the 17th International Digital Government Research, DG.O 2016, pp. 415–424. ACM Press, New York (2016)
Charalabidis, Y., Alexopoulos, C., Loukis, E.: A taxonomy of open government data research areas and topics. J. Org. Comput. E. Commer. 26, 41–63 (2016)
Ding, L., Lebo, T., Erickson, J.S., DiFranzo, D., Williams, G., Li, X., Michaelis, J., Graves, A., Zheng, J.G., Shangguan, Z., Flores, J., McGuinness, D.L., Hendler, J.A.: TWC logd: a portal for linking open government data. Web Semant. Sci. Serv. Agents. World Wide Web. 9, 325–333 (2011)
Flores, J.E., Ding, L.: Discovering the hidden cross-dataset links in data.gov. In: Proceedings of the 3rd International Conference on Web Science, WebSci 2011, pp. 14–17. ACM, New York (2011)
Krataithong, P., Buranarach, M., Hongwarittorrn, N., Supnithi, T.: A framework for linking RDF datasets for Thailand open government data based on semantic type detection. In: Morishima, A., Rauber, A., Liew, C.L. (eds.) ICADL 2016. LNCS, vol. 10075, pp. 257–268. Springer, Cham (2016). doi:10.1007/978-3-319-49304-6_31
Shadbolt, N., O’Hara, K., Berners-Lee, T., Gibbins, N., Glaser, H., Hall, W., Schraefel, M.C.: Linked open government data: lessons from data.gov.uk. IEEE Intell. Syst. 27, 16–24 (2012)
Kalampokis, E., Tambouris, E., Tarabanis, K.: On publishing linked open government data. In: Proceedings of the 17th Panhellenic Conference on Informatics, PCI 2013, pp. 25–32. ACM Press, New York (2013)
Dessi, N., Garau, G., Recupero, D.R., Pes, B.: Increasing open government data transparency with spatial dimension. In: Reddy, S., Gaaloul, W. (eds.) Proceedings of 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2016, pp. 247–249. IEEE Computer Society (2016)
Zhang, C., Yue, P.: Spatial grid based open government data mining. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 192–193. IEEE (2016)
Consoli, S., Gangemi, A., Nuzzolese, A.G., Peroni, S., Presutti, V., Recupero, D.R., Spampinato, D.: Geolinked open data for the municipality of Catania. In: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), WIMS 2014, pp. 1–8. ACM Press, New York (2014)
Leite, D.F.B., Rocha, J.H., de Souza Baptista, C., Falcão, A.G., de Figueiredo, H.F.: Geoprocessing applied to open government data. In: Ruckemann, C.-P. (ed.) GEOProcessing 2015 - The Seventh International Conference on Advanced Geographic Information Systems, Applications, and Services, pp. 100–105. IARIA (2015)
Narducci, F., Palmonari, M., Semeraro, G.: CroSeR: cross-language semantic retrieval of open government data. In: Rijke, M., Kenter, T., Vries, A.P., Zhai, C., Jong, F., Radinsky, K., Hofmann, K. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 793–797. Springer, Cham (2014). doi:10.1007/978-3-319-06028-6_98
Rozell, E., Erickson, J., Hendler, J.: From international open government dataset search to discovery: a semantic web service approach. In: Ferriero, D., Pardo, T.A., Qian, H. (eds.) ACM International Conference Proceeding Series, pp. 480–481. ACM (2012)
de Andrade, F.G., de Souza Baptista, C., Davis Jr., C.A.: Improving geographic information retrieval in spatial data infrastructures. Geoinformatica 18, 793–818 (2014)
Tversky, A.: Features of similarity. Psychol. Rev. 84, 327–352 (1977)
Shaw, J.A., Fox, E.A.: Combination of multiple searches. In: Harman, D.K. (ed.) Proceedings of The Third Text REtrieval Conference, TREC 1994, Gaithersburg, Maryland, USA, 2–4 November 1994, pp. 105–108. National Institute of Standards and Technology (NIST) (1994)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Boston (1999)
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de Fernandes Vasconcelos, P.A., de Sousa Alencar, W., da Silva Ribeiro, V.H., Ferreira Rodrigues, N., de Gomes Andrade, F. (2017). Enabling Spatial Queries in Open Government Data Portals. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2017. Lecture Notes in Computer Science(), vol 10441. Springer, Cham. https://doi.org/10.1007/978-3-319-64248-2_6
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