Ahed Alboody

Publications (10) View all

• Chapter: Enriching The Qualitative Spatial Reasoning System RCC8

  Ahed Alboody, Florence Sèdes, Jordi Inglada
  01/2010: pages 1-50; , ISBN: 9781616928681
• Conference Proceeding: Modeling Topological Relations between Uncertain Spatial Regions in Geo-spatial Databases: Uncertain Intersection and Difference Topological Model.

  Ahed Alboody, Florence Sedes, Jordi Inglada
  The Second International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010, Menuires, France, 11-16 April 2010; 01/2010
• Source

  Available from: psu.edu

  Conference Proceeding: Fuzzy Intersection and Difference Model for Topological Relations

  Ahed Alboody, Florence Sèdes, Jordi Inglada
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  ABSTRACT: Topological relations have played important roles in spatial query, analysis and reasoning in Geographic Information Systems (GIS) and spatial databases. The topological relations between crisp and fuzzy spatial objects based upon the 9-intersections topological model have been identified. However the formalization of the topological relations between fuzzy regions needs more investigation and work. The paper provides a theoretical framework for modeling topological relations between fuzzy regions based upon a new fuzzy topological model called the Fuzzy Intersection and Difference (FID) Model. A novel topological model is formalized based on Fuzzy Topological Space (FTS). In order to derive all fuzzy topological relations between two fuzzy spatial objects, the fuzzy spatial object (A) is decomposed in four components: the Interior, the Interior’s Boundary, the Object’s Boundary, and the Exterior’s Boundary of A. By use of this definition of fuzzy spatial object, a new 4*4-intersection and Fuzzy Intersection and Difference (FID) models are proposed as a qualitative model for identification of all topological relations between two simple fuzzy regions. The new 4*4-intersection and FID models are compared with other fuzzy models studied in the literature. Examples are provided to illustrate the use of these two presented in this paper with its results which can be applied for GIS modeling and geospatial database.
  International Fuzzy Systems Association World Congress and Conference of the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT 2009), Calouste Gulbenkian Foundation, Lisbon, Portugal; 07/2009
• Conference Proceeding: Multi-level Topological Relations of the Spatial Reasoning System RCC-8

  A. Alboody, F. Sedes, J. Inglada
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  ABSTRACT: Queries in geospatial databases, such as geographic information systems (GIS), image databases, are often based upon the relations among spatial objects. Spatial relations are the basis of many queries that GIS perform such as the topological relations. The general description of region-region topological relations in details is still an unsolved issue although much effort has been done. The eight basic topological relations between two spatial regions are written without any details in the classical form of the spatial reasoning system RCC-8: DC, EC, EQ, PO, TPP, TPPi, NTPP and NTPPi. In some applications, there are needs to describe in details these relations. In order to extract all the necessary details at all levels and to differentiate between relations of the same kind, multi-level topological relations of RCC-8 are introduced by using two concepts: the separation number and the types of spatial elements (Points and Lines) of the boundary-boundary intersection spatial set (BBISS). These two concepts are very important to detail these relations. In our study, the major contribution is multi-level topological relations of RCC-8. We focus our work on the four relations EC, PO, TPP and TPPi which can be detailed at two additional levels. First, these four relations are written and described in general detailed forms by the concept of separation number. Secondly, the same relations are expressed in other general forms by the concept of types of spatial elements. Finally, examples are provided to illustrate the determination of these relations presented in this paper.
  Advances in Databases, Knowledge, and Data Applications, 2009. DBKDA '09. First International Conference on; 04/2009
• Conference Proceeding: Geo-Spatio-Temporal Ontology for GIR on the Web

  Ahed Alboody, Florence Sèdes, Jordi Inglada
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  ABSTRACT: Retrieval of geographically-referenced information on the Web is now a common activity. One of the techniques for retrieving geographic information is processing queries. Seven types of queries are introduced by using questions beginning with Where, Which, What, When and How. In order to process the queries related to a geographic object in the real world, the approach proposed is based on a retrieval strategy that uses four types of matching: spatial, temporal, geographic and concepts using the ontology exploration. At the heart of this approach is a geo-spatio-temporal ontology. Our contribution consists of three parts. The first one is define seven types of queries to be used in the approach of Geographic Information Retrieval (GIR) on the web. Then, the second part is integrating the temporal information in the approach of GIR on the web. And the third one is a geo-spatio-temporal ontology to represent the geographic object with its spatio-temporal features. Finally, we present case study to show the exploration of the geo-spatio-temporal ontology correspondent to two queries.
  Workshop on Geographic Information on the Internet (31st European Conference on Information Retrieval - ECIR 2009) (GIIW 2009), Toulouse, France; 04/2009