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Ontology alignment

Known as: Alignment, Comparative glossary, Ontology matching 
Ontology alignment, or ontology matching, is the process of determining correspondences between concepts. A set of correspondences is also called an… 
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Related topics

Related topics

24 relations
Cognitive scienceComputer scienceComputer scientistConceptualization (information science)

Broader (2)

Information scienceKnowledge engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model
2011
2011
Multilingual Ontology Matching based on Wiktionary Data Accessible via SPARQL Endpoint
Interoperability is a feature required by the Semantic Web. It is provided by the ontology matching methods and algorithms. But… 
2010
2010
A Benchmark for Testing Instance-based Ontology Matching Methods
The matching of ontologies is a problem solved by many different matching systems using various algorithms. To test different… 
Review
2010
Review
2010
Inductive learning for the Semantic Web: What does it buy?
Nowadays, building ontologies is a time consuming task since they are mainly manually built. This makes hard the full realization… 
2009
2009
Ontology Alignment Techniques
Sometimes the use of a single ontology is not sufficient to cover different vocabularies for the same domain, and it becomes… 
2009
2009
An empirical comparison of ontology matching techniques
Ontology matching aims to find semantic correspondences between a pair of input ontologies. A number of matching techniques have… 
2008
2008
Ontology Matching: Current Status, Dilemmas and Future Challenges
Ontology matching is still one of the hottest topics of Semantic Web research. The aim of this position statement is three-fold… 
2006
2006
Applying an Analytic Method for Matching Approach Selection
One of the main open issues in the ontology matching field is the selection of a current relevant and suitable matcher. The… 
2006
2006
Quality Extensions and Uncertainty Handling for Context Ontologies
Context, by nature, involves real world entities and is therefore subject to uncertainty and inaccuracies. Ontologies are often… 
2004
2004
Ontology Alignment for Real-World Applications
An ontology-driven approach to data integration relies on the alignment of the concepts of a global ontology that describe the… 
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