Generating OWL Ontology from Relational Database

2012 ◽  
Author(s):  
Ji Woong Choi ◽  
Myung Ho Kim
Keyword(s):  
Relational Database ◽  
Owl Ontology

From Databases to Ontologies

2009 ◽  
pp. 2360-2383
Author(s):  
Guntis Barzdins ◽  
Janis Barzdins ◽  
Karlis Cerans
Keyword(s):  
Conceptual Model ◽  
Relational Database ◽  
Relational Databases ◽  
Database Design ◽  
Database Schema ◽  
Design Problems ◽  
Uml Profile ◽  
Domain Experts ◽  
Owl Ontology ◽  
Rdf Database

This chapter introduces the UML profile for OWL as an essential instrument for bridging the gap between the legacy relational databases and OWL ontologies. We address one of the long-standing relational database design problems where initial conceptual model (a semantically clear domain conceptualization ontology) gets “lost” during conversion into the normalized database schema. The problem is that such “loss” makes database inaccessible for direct query by domain experts familiar with the conceptual model only. This problem can be avoided by exporting the database into RDF according to the original conceptual model (OWL ontology) and formulating semantically clear queries in SPARQL over the RDF database. Through a detailed example we show how UML/OWL profile is facilitating this new and promising approach.

scholarly journals Research on Learning OWL Ontology from Relational Database

2019 ◽  
Vol 1176 ◽  
pp. 022031 ◽  
Author(s):  
Chun-hua Liao ◽  
Ya-fen Wu ◽  
Guo-hua King
Keyword(s):  
Relational Database ◽  
Owl Ontology

scholarly journals An Improvement Method for Semantic Mapping Database to Ontology

2018 ◽  
Vol 34 (3) ◽  
pp. 187-198
Author(s):  
Thuy Thi Thu Pham
Keyword(s):  
Semantic Web ◽  
Semantic Similarity ◽  
Similarity Measure ◽  
Relational Database ◽  
Experimental Results ◽  
Semantic Mapping ◽  
Novel Approach ◽  
Enormous Amount ◽  
Improvement Method ◽  
Owl Ontology

Enormous amount of available data in relational database (RDB) format creates a demand for automatic transforming them into OWL ontology to reuse in the Semantic Web. Many approaches have been proposed, however, most of them simply generate output ontology as the same flat structure with the original database and result in redundancy of ontology data.  As an attempt to resolve the redundant problem, we propose a novel approach to generate OWL ontology from relational database while focusing on the similarity measure of duplicate attributes in relational tables. Experimental results show that the proposed method reliably predicts semantic similarity of duplicate columns and produces a better-quality OWL ontology.

From Databases to Ontologies

2009 ◽  
pp. 242-266 ◽  
Author(s):  
Guntis Barzdins
Keyword(s):  
Conceptual Model ◽  
Relational Database ◽  
Relational Databases ◽  
Database Design ◽  
Database Schema ◽  
Design Problems ◽  
Uml Profile ◽  
Domain Experts ◽  
Owl Ontology ◽  
Rdf Database

This chapter introduces the UML profile for OWL as an essential instrument for bridging the gap between the legacy relational databases and OWL ontologies. We address one of the long-standing relational database design problems where initial conceptual model (a semantically clear domain conceptualization ontology) gets “lost” during conversion into the normalized database schema. The problem is that such “loss” makes database inaccessible for direct query by domain experts familiar with the conceptual model only. This problem can be avoided by exporting the database into RDF according to the original conceptual model (OWL ontology) and formulating semantically clear queries in SPARQL over the RDF database. Through a detailed example we show how UML/OWL profile is facilitating this new and promising approach.

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