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Blankenberg, Carolin; Gebel-Sauer, Berit; Schubert, Petra
Procedia computer science, 2022, Letnik: 196Journal Article
This paper reports on findings from a project on information integration from multiple Business Information Systems with the help of a user-specific Enterprise Knowledge Graph. Most ERP systems currently in use store information objects in relational databases. Research in Web Sciences has shown that graph structures present information in a more intuitive way that is easier to interpret for humans. Following a DSR approach, we developed a concept for storing an ontology in a graph database that allows us to map ERP objects and load them at runtime. This allows the end user to navigate through the graph structure, thus providing an intuitive and quick access to essential job-related information. We evaluated the suggested concept with a prototype following the paradigm of polyglot persistence; the prototype was equipped with a graph database to store the company-specific ontology in its native form. The program code was encapsulated into a separate module following a service-oriented software design.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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