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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gil, R. Martín-Bautista, M.J. Contreras, L. |
| Copyright Year | 2010 |
| Abstract | Important knowledge can be recovered from relational database (RDB) associated with some information system specific domains and converted to semantics. Studying the processes and Methodological Resources (MR) for this conversion has gained relevance in Knowledge Engineering and, particularly, in the Ontology Learning (OL) field. Such MR, organized in an appropriate manner under a methodological strategy, will make it possible to take advantage of existing tools for converting the cited RDB to domain ontologies. A comparative conversion-tool analysis, having considered the tools capabilities, learning levels and some advantages, has been useful for selecting and aligning those tools with the methodology applied to the case study. Finally, the methodological strategy design and its application under a Systemic Methodology for OL (SMOL) is shown. |
| Starting Page | 313 |
| Ending Page | 316 |
| File Size | 375341 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479122 |
| DOI | 10.1109/ICSC.2010.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Methodology Evaluation Methodology Semantics Relational databases Ontologies Academic domain Tools Data models Systemic Internet Data mining Ontology Learning |
| Content Type | Text |
| Resource Type | Article |
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