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Treffer: A Semantics-preserving Approach for Extracting RDF Knowledge from Object-oriented Databases

Title:
A Semantics-preserving Approach for Extracting RDF Knowledge from Object-oriented Databases
Authors:
Jing Shan, Jiawen Lu, Xu Chen, Li Yan, Zongmin Ma
Source:
Journal of Web Engineering.
Publisher Information:
River Publishers, 2023.
Publication Year:
2023
Subject Terms:
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0204 chemical engineering
Document Type:
Fachzeitschrift Article
ISSN:
1544-5976
1540-9589
DOI:
10.13052/jwe1540-9589.2221
Accession Number:
edsair.doi...........bfa9bbe8fa523f7ced97e0adc2ea72e9
Database:
OpenAIRE

Weitere Informationen

The Resource Description Framework and RDF Schema recommended by the World Wide Web Consortium provide a flexible model for semantically representing information about resources on the Web, which are playing an increasingly important role in intelligent processing of large-scale data. With the widespread acceptance and applications of RDF(S), construction of RDF(S) is of increasing importance. Automatic construction of RDF(S) with diverse data has attracted more attention. In this paper, we propose a novel approach for constructing an RDF(S) with object-oriented databases that are suitable for non-traditional applications. We propose the formal rules of mapping an object-oriented database model into a RDF(S) model based on the formal definitions of these two models. We develop a tool named OODB2RDF to verify our approach.