An overview of the ONIONS project: applying ontologies to the integration of medical terminologies
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
Formal Ontology in Information Systems: Proceedings of the 1st International Conference June 6-8, 1998, Trento, Italy
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
A Graph-Oriented Model for Articulation of Ontology Interdependencies
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Concept Similarity Matching Based on Semantic Distance
SKG '08 Proceedings of the 2008 Fourth International Conference on Semantics, Knowledge and Grid
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Modeling classification systems in SKOS: some challenges and best-practice recommendations
DCMI '09 Proceedings of the 2009 International Conference on Dublin Core and Metadata Applications
An Ontology-Based Framework for Geographic Data Integration
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
Structure-based methods to enhance geospatial ontology alignment
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Spatial relations for semantic similarity measurement
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
| Hi-index | 0.00 |
Ontologies are widely used, within and outside the geospatial context to support semantic search that is capable of returning suitable resources. Some large, heterogeneous earth observation systems that are currently being developed in a multi-thematic environment require the support of multiple ontologies. Furthermore, some of the systems under current development operate in a multilingual environment, and it is desirable that multiple languages be supported by the systems themselves. This paper proposes a solution to this set of requirements using an architecture containing multiple and multilingual ontologies. Such ontologies are required to be related and the architecture described in this work, which adopts a spatial data infrastructure based on open geospatial standards, employs an algorithm for semantic search across the multiple multilingual ontologies aligned using the W3C Simple Knowledge Organization System (SKOS). It also provides an approach that is extendable by the addition of further ontologies if they are required for particular thematic purposes. A number of issues arose during phases of implementation, but the broad approach proved effective for supporting a large, heterogeneous, multilingual earth observation system.