Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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… 
2017
2017
Ontology-based data integration systems allow users to effectively access data sitting in multiple sources by means of… 
2015
2015
Nowadays, different areas of large modern enterprises use different database management systems to store and search their… 
2014
2014
NoSQL databases are suitable for network traffic loads experienced by today's websites. The important attributes that make them a… 
2014
2014
The existence of numerous data sources needs a common interface to access data for much research in the field of data analysis… 
2013
2013
Integration of multiple, distributed, and heterogeneous sources are essential for scientific and commercial domains. Ensuring… 
2009
2009
This paper describes the main elements of a functional platform for building Semantic Web Applications, the Semantic Directory… 
2008
2008
This paper presents an ontology-based data integration framework that is capable of deriving an ontology from a collection of XML… 
Highly Cited
2008
Highly Cited
2008
The goal of data integration is to provide a uniform access to a set of heterogeneous data sources, freeing the user from the…