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Ontology-based data integration

Known as: Ontology based data integration 
Ontology based Data Integration involves the use of ontology(s) to effectively combine data or information from multiple heterogeneous sources. It is… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
In the article essential problems of integrating heterogeneous data, arising in development of corporate databases intellectual… 
2019
2019
The realization of a cyber-physical production system (CPPS) requires suitable methods and tools for the exchange and integration… 
2015
2015
Nowadays, different areas of large modern enterprises use different database management systems to store and search their… 
2015
2015
  • S. Vigneshwari
  • 2015
  • Corpus ID: 12363539
Ontology based Data Integration (ONDINE) is an approach to integrate web data from heterogeneous resources with the help of… 
2013
2013
Integration of multiple, distributed, and heterogeneous sources are essential for scientific and commercial domains. Ensuring… 
2013
2013
Regarding the well-known problems of inadequate sharing of multi-sourced,heterogeneous transportation data in Chinese traffic and… 
Review
2010
Review
2010
A data integration system provides a uniform interface to distributed and heterogeneous sources. These sources can be databases… 
2009
2009
This paper describes the main elements of a functional platform for building Semantic Web Applications, the Semantic Directory… 
2004
2004
In order to study social and economic development impact on the use of land resources dynamically, it must realize knowledge…