{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,9,17]],"date-time":"2022-09-17T06:18:41Z","timestamp":1663395521925},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,14]]},"abstract":"<jats:p>Normalized Systems are a model-driven development technique focusing on evolvability and sustainability of resulting enterprise information systems. It applies well-defined principles to create a fine-grained modular structure while limiting combinatorial effects. The systems are generated (or, more precisely, expanded) from models of so-called NS Elements. NS has its own modelling language; however, interoperability with other knowledge representations is necessary. This work presents our solution for transforming knowledge kept in one of the most generic forms \u2013 RDF semantic triples \u2013 to NS Elements. The transformation enables mapping using RDFS\/OWL ontologies describing both the input RDF. It utilizes SPARQL for executing the transformation to RDF based on the existing NS Element ontology. The presented transformation is demonstrated on an example case study, and its features and limitations are discussed together with potential future steps.<\/jats:p>","DOI":"10.3233\/faia220290","type":"book-chapter","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T09:08:28Z","timestamp":1663319308000},"source":"Crossref","is-referenced-by-count":0,"title":["Towards Normalized Systems from RDF with SPARQL"],"prefix":"10.3233","author":[{"given":"Marek","family":"Such\u00e1nek","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, CTU in Prague, Czechia"},{"name":"Faculty of Business and Economics, University of Antwerp, Belgium"}]},{"given":"Herwig","family":"Mannaert","sequence":"additional","affiliation":[{"name":"Faculty of Business and Economics, University of Antwerp, Belgium"},{"name":"Normalized Systems Institute, University of Antwerp, Belgium"}]},{"given":"Robert","family":"Pergl","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, CTU in Prague, Czechia"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","New Trends in Intelligent Software Methodologies, Tools and Techniques"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T09:08:29Z","timestamp":1663319309000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220290"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220290","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,14]]}}}