A visual tool for ontology alignment to enable geospatial interoperability

Authors:
Isabel F. Cruz;William Sunna;Nalin Makar;Sujan Bathala
Affiliations:
Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St. (M/C 152), Chicago, IL 60607, USA;Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St. (M/C 152), Chicago, IL 60607, USA;Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St. (M/C 152), Chicago, IL 60607, USA;Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St. (M/C 152), Chicago, IL 60607, USA
Venue:
Journal of Visual Languages and Computing
Year:
2007

Citing 9
Cited 8

Clio: a semi-automatic tool for schema mapping

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Handling semantic heterogeneities using declarative agreements

Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Semantic Granularity in Ontology-Driven Geographic Information Systems

Annals of Mathematics and Artificial Intelligence
Jena: A Semantic Web Toolkit

IEEE Internet Computing
The evolution of Protégé: an environment for knowledge-based systems development

International Journal of Human-Computer Studies
A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases
Schema and ontology matching with COMA++

Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A survey of schema-based matching approaches

Journal on Data Semantics IV
Inferring complex semantic mappings between relational tables and ontologies from simple correspondences

OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II

Matching large ontologies: A divide-and-conquer approach

Data & Knowledge Engineering
AgreementMaker: efficient matching for large real-world schemas and ontologies

Proceedings of the VLDB Endowment
Structure-based methods to enhance geospatial ontology alignment

GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Enhanced geographically typed semantic schema matching

Web Semantics: Science, Services and Agents on the World Wide Web
A survey of multiple tree visualisation

Information Visualization
Achieving interoperability among healthcare standards: building semantic mappings at models level

Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Ontology alignment using artificial neural network for large-scale ontologies

International Journal of Metadata, Semantics and Ontologies
Semantic extraction of geographic data from web tables for big data integration

Proceedings of the 7th Workshop on Geographic Information Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

In distributed geospatial applications with heterogeneous databases, an ontology-driven approach to data integration relies on the alignment of the concepts of a global ontology that describe the domain, with the concepts of the ontologies that describe the data in the distributed databases. Once the alignment between the global ontology and each distributed ontology is established, agreements that encode a variety of mappings between concepts are derived. In this way, users can potentially query hundreds of geospatial databases using a single query. Using our approach, querying can be easily extended to new data sources and, therefore, to new regions. In this paper, we describe the AgreementMaker, a tool that displays the ontologies, supports several mapping layers visually, presents automatically generated mappings, and finally produces the agreements.