XML-based information mediation for digital libraries
Proceedings of the fourth ACM conference on Digital libraries
Ontology-driven geographic information systems
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Ontologies for geographic information processing
Computers & Geosciences - Intelligent methods for processing geodata
IEEE Internet Computing
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
POESIA: An ontological workflow approach for composing Web services in agriculture
The VLDB Journal — The International Journal on Very Large Data Bases
An analysis of XML database solutions for the management of MPEG-7 media descriptions
ACM Computing Surveys (CSUR)
A framework for semantic annotation of geospatial data for agriculture
International Journal of Metadata, Semantics and Ontologies
Integration of spatial XML documents with RDF
ICWE'03 Proceedings of the 2003 international conference on Web engineering
The role of spatial relations in automating the semantic annotation of geodata
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
The Journal of Supercomputing
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Geographic information systems (GIS) are increasingly using geospatial data from the Web to produce geographic information. One big challenge is to find the relevant data, which often is based on keywords or even file names. However, these approaches lack semantics. Thus, it is necessary to provide mechanisms to prepare data to help retrieval of semantically relevant data. This paper proposes an approach to attack this problem. This approach is based on semantic annotations that use geographic metadata and ontologies to describe heterogeneous geospatial data. Semantic annotations are RDF/XML files that rely on a FGDC metadata schema, filled with appropriate ontology terms, and stored in a XML database. The proposal is illustrated by a case study of semantic annotations of agricultural resources, using domain ontologies.