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Domain-aware ontology matching.

2021
During the last years, technological advances have created new ways of communication, which have motivated governments, companies and institutions to digitalise the data they have in order to make it accessible and transferable to other people. Despite the millions of digital resources that are currently available, their diversity and heterogeneous ...
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Metaheuristics-based ontology meta-matching approaches

Expert Systems With Applications, 2021
Jairo Francisco de Souza   +2 more
exaly  

Ontology Matching

2008
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping domains. Software agents (or tools in general) need to learn how to translate between such related ontologies. Only then will they be able to exploit the information from various sources simultaneously.
openaire   +2 more sources

Instance Matching for Ontology Population.

2008
In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the capability of comparing several instances extracted from different sources is crucial.
S. Castano   +3 more
openaire   +2 more sources

Matching weak informative ontologies

Science China Information Sciences, 2021
Peng Wang 0004, Baowen Xu
openaire   +1 more source

An ontology matching approach for semantic modeling: A case study in smart cities

Computational Intelligence, 2022
Jerry Chun-Wei Lin   +2 more
exaly  

A framework for evaluating ontology meta-matching approaches

Journal of Intelligent Information Systems, 2020
Jairo Francisco de Souza   +2 more
exaly  

Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation

IEEE Transactions on Knowledge and Data Engineering, 2010
Viviana Mascardi   +2 more
exaly  

Evaluation of two heuristic approaches to solve the ontology meta-matching problem

Knowledge and Information Systems, 2009
José F Aldana-Montes   +1 more
exaly  

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