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Dynamic multi-granularity semantic representations for navigation facility services
Author(s) -
Géraldine del Mondo,
Michel Mainguenaud
Publication year - 2016
Publication title -
international journal of spatial temporal and multimedia information systems
Language(s) - English
Resource type - Journals
eISSN - 2052-3564
pISSN - 2052-3556
DOI - 10.1504/ijstmis.2016.076760
Subject(s) - alphanumeric , computer science , abstraction , representation (politics) , granularity , semantics (computer science) , relevance (law) , zoom , logical data model , operator (biology) , data model (gis) , data mining , external data representation , database , information retrieval , data modeling , artificial intelligence , programming language , engineering , philosophy , biochemistry , chemistry , epistemology , repressor , lens (geology) , politics , political science , petroleum engineering , transcription factor , law , gene
The main purpose of this article is to tackle the management of alphanumeric data provided to end users in navigation facility services. We propose, via a top down and interpreted approach, to define a data model. The aim is to take into account the spatial relevance of alphanumeric attributes using a logical spatial representation (not using a cartographical representation). Based on a conventional database model extended with links to model relationships between alphanumeric attributes and spatial semantics, this model provides the management of several levels of abstraction (granularity levels). We describe a data manipulation operator to zoom into a deeper abstraction level and we define rules to build the data model associated with the results of this operator.

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