Querying heterogeneous spatial databases: Combining an ontology with similarity functions

Gutiérrez M; Rodríguez A.

Abstract

This paper uses a knowledge-based approach to querying heterogeneous spatial databases based on an ontology and conceptual and attribute similarities. The ontology, which may be independent of the databases, expands and filters a user query. Then, queries are translated into a formal specification of entity classes, which are compared against definitions in databases. This process is carried out by determining the conceptual similarity between entities in a user ontology and by comparing these entities in the ontology with entities in the conceptual models of databases. In addition, the specification of a query is done not only by identifying entity classes but also by considering constraints based on attribute values. The paper describes the system architecture and presents a case study with data from a forestry information system. © Springer-Verlag 2004.

Más información

Título según WOS: Querying heterogeneous spatial databases: Combining an ontology with similarity functions
Título según SCOPUS: Querying Heterogeneous Spatial Databases: Combining an Ontology with Similarity Functions
Título de la Revista: EDUCATING FOR A NEW FUTURE: MAKING SENSE OF TECHNOLOGY-ENHANCED LEARNING ADOPTION, EC-TEL 2022
Volumen: 3289
Editorial: SPRINGER INTERNATIONAL PUBLISHING AG
Fecha de publicación: 2004
Página de inicio: 160
Página final: 171
Idioma: English
Notas: ISI, SCOPUS