Handling Fuzzy Points and Fuzzy Lines using the FuzzyGeometry Abstract Data Type

Authors

  • Anderson Chaves Carniel University of São Paulo
  • Ricardo Rodrigues Ciferri Federal University of São Carlos
  • Cristina Dutra de Aguiar Ciferri University of São Paulo

Keywords:

abstract data types, spatial databases, fuzzy spatial objects, spatial fuzzyness

Abstract

Crisp spatial objects are geometric features with exact location on the extent and well-known boundaries. On the other hand, vague or fuzzy spatial objects are characterized by uncertain or blurred boundaries and interiors. Despite the importance of fuzzy spatial data in spatial applications, few related work indeed implement them. In addition, related work do not define abstract data types to enable the management of fuzzy spatial objects by using database management systems (DBMS). In this article, we propose the abstract data type FuzzyGeometry to handle fuzzy spatial objects in the PostgreSQL DBMS. Its implementation is open source. It offers management for fuzzy point objects and fuzzy line objects as well as provides several operations to handle them. As a result, users are able to access PostgreSQL in order to use fuzzy spatial objects in spatial queries.

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Author Biographies

Anderson Chaves Carniel, University of São Paulo

Anderson Chaves Carniel received the System Analysis and Development degree from Federal Institute of Education, Science and Technology of São Paulo, Brazil, in 2011. In 2014, he received the MSc degree in Computer Science from Federal University of São Carlos, Brazil. He is currently a PhD student at Department of Computer Science at University of São Paulo in São Carlos, Brazil. His main areas of interest are spatial databases, vague spatial data, and spatial indexing.

Ricardo Rodrigues Ciferri, Federal University of São Carlos

Ricardo Rodrigues Ciferri received the BS degree in Computer Science from Federal University of São Carlos, Brazil, in 1992. In 1995, he received the MSc degree in Computer Science from State University of Campinas, Brazil. He obtained his PhD degree in 2002 in Computer Science from Federal University of Pernambuco, Brazil. He is currently an Associate Professor at Department of Computer Science at Federal University of São Carlos, Brazil. His main areas of interest are data integration, data warehousing, geographical information systems, spatial databases, cloud databases and parallel and distributed databases.

Cristina Dutra de Aguiar Ciferri, University of São Paulo

Cristina Dutra de Aguiar Ciferri received the BS degree in computer science from Federal University of São Carlos, Brazil, in 1992. In 1995, she received the MSc degree in Computer Science from State University of Campinas, Brazil. She obtained her PhD degree in 2002 in Computer Science from Federal University of Pernambuco, Brazil. She is currently an Associate Professor at Department of Computer Science at University of São Paulo in São Carlos, Brazil. Her main areas of interest are data provenance, data integration, cloud computing, data warehousing, geographical information systems, spatial databases, heterogeneous and distributed databases, and bioinformatics.

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Additional Files

Published

2016-10-03

Issue

Vol. 7 No. 1 (2016): JOURNAL OF INFORMATION AND DATA MANAGEMENT

Section

GeoInfo 2015