Fillottrani, Pablo R. and Keet, C. Maria (2020) KnowID: An architecture for efficient Knowledge-driven Information and Data access, Data Intelligence, 2, 487-512.
Full text not available from this repository. (Use alternate locations listed below)Abstract
Modern information systems require the orchestration of ontologies, conceptual data modeling techniques, and efficient data management so as to provide a means for better informed decision-making and to keep up with new requirements in organizational needs. A major question in delivering such systems, is which components to design and put together to make up the required “knowledge to data” pipeline, as each component and process has trade-offs. In this paper, we introduce a new knowledge-to-data architecture, KnowID. It pulls together both recently proposed components and we add novel transformation rules between Enhanced Entity-Relationship (EER) and the Abstract Relational Model to complete the pipeline. KnowID's main distinctive architectural features, compared to other ontology-based data access approaches, are that runtime use can avail of the closed world assumption commonly used in information systems and of full SQL augmented with path queries.
| Item Type: | Journal article (paginated) |
|---|---|
| Subjects: | Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Ontology engineering |
| Alternate Locations: | https://doi.org/10.1162/dint_a_00060 |
| Date Deposited: | 21 Dec 2020 10:55 |
| Last Modified: | 21 Dec 2020 10:55 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/1398 |
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