A light weight approach for ontology generation and change synchronization between ontologies and source relational databases
Paper
Paper/Presentation Title | A light weight approach for ontology generation and change synchronization between ontologies and source relational databases |
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Presentation Type | Paper |
Authors | Ahmed, Waqas (Author), Aslam, Muhammad Ahtisham (Author), Shen, Jun (Author) and Yong, Jianming (Author) |
Editors | Shen, Weiming, Barthes, Jean-Paul, Luo, Junzhou, Kropf, Peter, Pouly, Michel and Yong, Jianming |
Journal or Proceedings Title | Proceedings of the 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2011) |
ERA Conference ID | 43280 |
Number of Pages | 7 |
Year | 2011 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781457703867 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2011.5960076 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5960076 |
Conference/Event | CSCWD 2011: 15th International Conference on Computer Supported Cooperative Work in Design |
International Conference on Computer Supported Cooperative Work in Design | |
Event Details | International Conference on Computer Supported Cooperative Work in Design CSCWD Rank B B B B B B B B |
Event Details | CSCWD 2011: 15th International Conference on Computer Supported Cooperative Work in Design Event Date 08 to end of 10 Jun 2011 Event Location Lausanne, Switzerland |
Abstract | Ontology is specification of shared conceptualization and is building block of the semantic Web. Ontology building requires a detailed domain analysis that in turn requires financial resources, intensive domain knowledge and time. Most of industrial data is present in relational databases and a relational database schema represents a domain model. An ontology built from this schema can represent concepts and relationships that are present in domain of discourse. However, databases are not static and their schema evolves over time. Once a database schema is changed, these changes in schema should also be incorporated in ontology, generated from this database. The possible solution of regenerating a new ontology from changed database schema is not feasible because this will result in loss of manual changes of ontology. In this paper we present an approach that can be used to generate ontology from RDBs and to synchronize the generated ontology with changes occurred in the same database. We also present the prototypical implementation of the proposed approach as Proté gé plug-in (i.e. DATAONTO) that can be used to generate ontology from database and to synchronize the ontology with the original database. |
Keywords | ontologies; relational database schema; relational databases; semantics; synchronization |
ANZSRC Field of Research 2020 | 460903. Information modelling, management and ontologies |
460599. Data management and data science not elsewhere classified | |
461305. Data structures and algorithms | |
Public Notes | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Victoria University |
King Abdulaziz University, Saudi Arabia | |
University of Wollongong | |
School of Information Systems | |
University of Western Ontario, Canada | |
Southeast University, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q11vq/a-light-weight-approach-for-ontology-generation-and-change-synchronization-between-ontologies-and-source-relational-databases
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