Similarity assessment between multiple geographic representations

Sergio Solano; Marco Moreno-Ibarra; Miguel Torres; Rolando Quintero

Similarity assessment between multiple geographic representations

Sergio Solano, Marco Moreno-Ibarra, Miguel Torres, Rolando Quintero

Centro de Investigación en Computación (CIC)

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

Abstract

Multiple representations include geographic data with different levels of detail, witch can turn into inconsistency. Inconsistency is caused due to the semantic, syntactic and spatial heterogeneity of data. In this paper we propose a methodology to asses similarity between spatial representations, taking account thematic, structural and spatial aspects of data. We also propose a metric called degree of semantic interoperability to asses a possible integration of data and to represent how data is consistent between data sources. As case study we work with towns in Mexico. Similarity is analyzed at different levels and in order to make it useful and clear to the user, it is represented in a graphic way.

Original language	English
Title of host publication	Proceedings of the 7th Iberian Conference on Information Systems and Technologies, CISTI 2012
State	Published - 2012
Event	7th Iberian Conference on Information Systems and Technologies, CISTI 2012 - Madrid, Spain Duration: 20 Jun 2012 → 23 Jun 2012

Publication series

Name	Iberian Conference on Information Systems and Technologies, CISTI
ISSN (Print)	2166-0727
ISSN (Electronic)	2166-0735

Conference

Conference	7th Iberian Conference on Information Systems and Technologies, CISTI 2012
Country/Territory	Spain
City	Madrid
Period	20/06/12 → 23/06/12

Keywords

geographic data
multiple representations
semantic interoperability degree
semantic similarity

Cite this

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title = "Similarity assessment between multiple geographic representations",

abstract = "Multiple representations include geographic data with different levels of detail, witch can turn into inconsistency. Inconsistency is caused due to the semantic, syntactic and spatial heterogeneity of data. In this paper we propose a methodology to asses similarity between spatial representations, taking account thematic, structural and spatial aspects of data. We also propose a metric called degree of semantic interoperability to asses a possible integration of data and to represent how data is consistent between data sources. As case study we work with towns in Mexico. Similarity is analyzed at different levels and in order to make it useful and clear to the user, it is represented in a graphic way.",

keywords = "geographic data, multiple representations, semantic interoperability degree, semantic similarity",

author = "Sergio Solano and Marco Moreno-Ibarra and Miguel Torres and Rolando Quintero",

year = "2012",

language = "Ingl{\'e}s",

isbn = "9789899624771",

series = "Iberian Conference on Information Systems and Technologies, CISTI",

booktitle = "Proceedings of the 7th Iberian Conference on Information Systems and Technologies, CISTI 2012",

note = "7th Iberian Conference on Information Systems and Technologies, CISTI 2012 ; Conference date: 20-06-2012 Through 23-06-2012",

}

Solano, S, Moreno-Ibarra, M , Torres, M & Quintero, R 2012, Similarity assessment between multiple geographic representations. in Proceedings of the 7th Iberian Conference on Information Systems and Technologies, CISTI 2012., 6263133, Iberian Conference on Information Systems and Technologies, CISTI, 7th Iberian Conference on Information Systems and Technologies, CISTI 2012, Madrid, Spain, 20/06/12.

Similarity assessment between multiple geographic representations. / Solano, Sergio; Moreno-Ibarra, Marco ; Torres, Miguel et al.
Proceedings of the 7th Iberian Conference on Information Systems and Technologies, CISTI 2012. 2012. 6263133 (Iberian Conference on Information Systems and Technologies, CISTI).

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

TY - GEN

T1 - Similarity assessment between multiple geographic representations

AU - Solano, Sergio

AU - Moreno-Ibarra, Marco

AU - Torres, Miguel

AU - Quintero, Rolando

PY - 2012

Y1 - 2012

N2 - Multiple representations include geographic data with different levels of detail, witch can turn into inconsistency. Inconsistency is caused due to the semantic, syntactic and spatial heterogeneity of data. In this paper we propose a methodology to asses similarity between spatial representations, taking account thematic, structural and spatial aspects of data. We also propose a metric called degree of semantic interoperability to asses a possible integration of data and to represent how data is consistent between data sources. As case study we work with towns in Mexico. Similarity is analyzed at different levels and in order to make it useful and clear to the user, it is represented in a graphic way.

AB - Multiple representations include geographic data with different levels of detail, witch can turn into inconsistency. Inconsistency is caused due to the semantic, syntactic and spatial heterogeneity of data. In this paper we propose a methodology to asses similarity between spatial representations, taking account thematic, structural and spatial aspects of data. We also propose a metric called degree of semantic interoperability to asses a possible integration of data and to represent how data is consistent between data sources. As case study we work with towns in Mexico. Similarity is analyzed at different levels and in order to make it useful and clear to the user, it is represented in a graphic way.

KW - geographic data

KW - multiple representations

KW - semantic interoperability degree

KW - semantic similarity

UR - http://www.scopus.com/inward/record.url?scp=84869040754&partnerID=8YFLogxK

M3 - Contribución a la conferencia

AN - SCOPUS:84869040754

SN - 9789899624771

T3 - Iberian Conference on Information Systems and Technologies, CISTI

BT - Proceedings of the 7th Iberian Conference on Information Systems and Technologies, CISTI 2012

T2 - 7th Iberian Conference on Information Systems and Technologies, CISTI 2012

Y2 - 20 June 2012 through 23 June 2012

ER -

Similarity assessment between multiple geographic representations

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Publication series

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Keywords

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