Authors:
Fabio Gomes de Andrade
1
;
Cláudio de Souza Baptista
2
and
Ulrich Schiel
2
Affiliations:
1
Federal Institute of Education and Science and Technology of Paraíba, Brazil
;
2
University of Campina Grande, Brazil
Keyword(s):
Geographical Information Retrieval, Spatial Data Infrastructures, Temporal Search Engine.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
Distributed Database Systems
;
Enterprise Information Systems
;
Geographical Information Systems
;
Human-Computer Interaction
;
Query Languages and Query Processing
Abstract:
Recently, spatial data infrastructures have become an important solution to ease the finding of geographical data offered by different organizations. Nevertheless, the catalog services provided by these infrastructures still have some important drawbacks that limit the geographic information retrieval based on temporal constraints. Examples of these drawbacks include the lack of both a more detailed description of temporal information, and ranking. Aiming to overcome these limitations, this paper describes a new temporal search engine for solving feature type retrieval offered by catalog services. To reach this goal, our search engine is based on a model that stores temporal information about each service and its respective feature types described in the SDI catalog service. Moreover, the paper proposes a temporal ranking metric to evaluate the relevance of each feature type retrieved for the user’s query.