Semantic retrieval of geospatial datasets based on a semantic repository

Julio Vizcarra; Miguel Torres; Rolando Quintero

doi:10.1007/978-3-642-31833-7_4

Semantic retrieval of geospatial datasets based on a semantic repository

Julio Vizcarra, Miguel Torres, Rolando Quintero

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this chapter, we propose a methodology to semantically search geospatial datasets by means of their metadata. It consists of structuring a semantic repository in order to provide the inclusion mechanisms of distributed data to be retrieved, as well as the extraction of those geographic objects with respect to their conceptual similarity. The approach proposes a conceptual measure called the Conceptual Distance algorithm to determine the conceptual similarity among concepts. The features of geographic objects are conceptualized in an ontology on the domains: thematic, spatial, and temporal. The ontology is populated by using Federal Geographic Data Committee specification with instances of geographic objects distributed in several locations on a network. In the retrieval process according to a query, the objects are presented as a ranking list, which provides other results that are semantically close by means of radius of search and it avoids empty results. The approach has been implemented in a web system called SemGsearch.

Original language	English
Title of host publication	Lecture Notes in Geoinformation and Cartography
Editors	Vasily Popovich, Christophe Claramunt, Manfred Schrenk, Kyrill Korolenko
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	57-73
Number of pages	17
ISBN (Electronic)	9783642318337
ISBN (Print)	9783319005140, 9783319009926, 9783319036434, 9783319081793, 9783319337821, 9783319615141, 9783319639451, 9783319714691, 9783540342373, 9783540685678, 9783540713173, 9783540777991, 9783540873921, 9783540882435, 9783642032936, 9783642034411, 9783642047909, 9783642105944, 9783642122712, 9783642155369, 9783642224409, 9783642241970, 9783642297694, 9783642318320, 9783642318320, 9783642327131, 9783642332173, 9783642343582, 9783642363788, 9783642375323
DOIs	https://doi.org/10.1007/978-3-642-31833-7_4
State	Published - 2014
Event	6th International Workshop on Information Fusion and Geographical Information Systems, IF and GIS 2013 - Saint Petersburg, Russian Federation Duration: 12 May 2013 → 15 May 2013

Publication series

Name	Lecture Notes in Geoinformation and Cartography
Volume	0
ISSN (Print)	1863-2246
ISSN (Electronic)	1863-2351

Conference

Conference	6th International Workshop on Information Fusion and Geographical Information Systems, IF and GIS 2013
Country/Territory	Russian Federation
City	Saint Petersburg
Period	12/05/13 → 15/05/13

Access to Document

10.1007/978-3-642-31833-7_4

Cite this

Vizcarra, J., Torres, M., & Quintero, R. (2014). Semantic retrieval of geospatial datasets based on a semantic repository. In V. Popovich, C. Claramunt, M. Schrenk, & K. Korolenko (Eds.), Lecture Notes in Geoinformation and Cartography (pp. 57-73). (Lecture Notes in Geoinformation and Cartography; Vol. 0). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-642-31833-7_4

Vizcarra, Julio ; Torres, Miguel ; Quintero, Rolando. / Semantic retrieval of geospatial datasets based on a semantic repository. Lecture Notes in Geoinformation and Cartography. editor / Vasily Popovich ; Christophe Claramunt ; Manfred Schrenk ; Kyrill Korolenko. Springer Science and Business Media Deutschland GmbH, 2014. pp. 57-73 (Lecture Notes in Geoinformation and Cartography).

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abstract = "In this chapter, we propose a methodology to semantically search geospatial datasets by means of their metadata. It consists of structuring a semantic repository in order to provide the inclusion mechanisms of distributed data to be retrieved, as well as the extraction of those geographic objects with respect to their conceptual similarity. The approach proposes a conceptual measure called the Conceptual Distance algorithm to determine the conceptual similarity among concepts. The features of geographic objects are conceptualized in an ontology on the domains: thematic, spatial, and temporal. The ontology is populated by using Federal Geographic Data Committee specification with instances of geographic objects distributed in several locations on a network. In the retrieval process according to a query, the objects are presented as a ranking list, which provides other results that are semantically close by means of radius of search and it avoids empty results. The approach has been implemented in a web system called SemGsearch.",

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Vizcarra, J, Torres, M & Quintero, R 2014, Semantic retrieval of geospatial datasets based on a semantic repository. in V Popovich, C Claramunt, M Schrenk & K Korolenko (eds), Lecture Notes in Geoinformation and Cartography. Lecture Notes in Geoinformation and Cartography, vol. 0, Springer Science and Business Media Deutschland GmbH, pp. 57-73, 6th International Workshop on Information Fusion and Geographical Information Systems, IF and GIS 2013, Saint Petersburg, Russian Federation, 12/05/13. https://doi.org/10.1007/978-3-642-31833-7_4

Semantic retrieval of geospatial datasets based on a semantic repository. / Vizcarra, Julio; Torres, Miguel ; Quintero, Rolando.
Lecture Notes in Geoinformation and Cartography. ed. / Vasily Popovich; Christophe Claramunt; Manfred Schrenk; Kyrill Korolenko. Springer Science and Business Media Deutschland GmbH, 2014. p. 57-73 (Lecture Notes in Geoinformation and Cartography; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Vizcarra J, Torres M , Quintero R. Semantic retrieval of geospatial datasets based on a semantic repository. In Popovich V, Claramunt C, Schrenk M, Korolenko K, editors, Lecture Notes in Geoinformation and Cartography. Springer Science and Business Media Deutschland GmbH. 2014. p. 57-73. (Lecture Notes in Geoinformation and Cartography). doi: 10.1007/978-3-642-31833-7_4

Semantic retrieval of geospatial datasets based on a semantic repository

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