QODI: Query as Context in Automatic Data Integration

Presented at: The 12th International Semantic Web Conference (ISWC2013)

by Aibo Tian, Juan Sequeda, Daniel Miranker

Webpage: http://www.springer.com/computer/ai/book/978-3-642-41334-6
Webpage: https://github.com/lidingpku/iswc-archive/raw/master/paper/iswc-2013/82180609-qodi-query-as-context-in-automatic-data-integration.pdf

QODI is an automatic ontology-based data integration system (OBDI). QODI is distinguished in that the ontology mapping algorithm dynamically determines a partial mapping specific to the reformulation of each query. The query provides application context not available in the ontologies alone; thereby the system is able to disambiguate mappings for different queries. The mapping algorithm decomposes the query into a set of paths, and compares the set of paths with a similar decomposition of a source ontology. Using test sets from three real world applications, QODI achieves favorable results compared with AgreementMaker, a leading ontology matcher, and an ontology-based implementation of the mapping methods detailed for Clio, the state-of-the-art relational data integration and data exchange system.

QODI: Query as Context in Automatic Data Integration was presented at this event.


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2013/proceedings-1/paper-39


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