Teaching Method for Entity–Relationship Models Based on Semantic Network Theory

Autor: Shin-Shing Shin

Publikováno v: IEEE Access, Vol 10, Pp 94908-94923 (2022)

Students in database courses often have difficulty learning entity–relationship (ER) modeling. According to semantic network theory, learning to construct an ER diagram for a database problem requires complex semantic transformations between the pr

Externí odkaz: https://doaj.org/article/b3e078174c4a40a09f129744d42ed3c4

The Making of RDA

Autor: Tom Delsey

Publikováno v: JLIS.it, Vol 7, Iss 2, Pp 25-47 (2016)

L'autore ripercorre lo sviluppo di RDA dal principio, nel 2005, fino alla sua prima pubblicazione, nel 2010. L'impegno di sviluppo è inserito nel contesto di un ambiente digitale in evoluzione che trasforma sia la produzione sia la diffusione delle

Externí odkaz: https://doaj.org/article/26d3c3c122234cb8950e90914529539f

Modeling Crop Genetic Resources Phenotyping Information Systems

Autor: Christoph U. Germeier, Stefan Unger

Publikováno v: Frontiers in Plant Science
Frontiers in Plant Science, Vol 10 (2019)

Documentation of phenotype information is a priority need in biodiversity, crop modeling, breeding, ecology, and evolution research, for association studies, gene discovery, retrospective statistical analysis and data mining, QTL re-mapping, choosing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5efeae8e6add3c33f409e7c1ccce693
https://pubmed.ncbi.nlm.nih.gov/31281323

Learning probabilistic relational models with (partially structured) graph databases

Autor: Marwa El Abri, Philippe Leray, Nadia Essoussi

Publikováno v: 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)
14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017)
14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), 2017, Hammamet, Tunisia. ⟨10.1109/AICCSA.2017.39⟩
AICCSA

International audience; Probabilistic Relational Models (PRMs) such as Directed Acyclic Probabilistic Entity Relationship (DAPER) models are probabilistic models dealing with knowledge representation and relational data. Existing literature dealing w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d4ec2fe84b4429d908f2e41b4aaf1d1
https://hal.archives-ouvertes.fr/hal-01619318/document

ER modelling from first relational principles

Autor: Ernst-Erich Doberkat, Eugenio G. Omodeo

Publikováno v: Theoretical Computer Science. 311:285-323

Entity-Relationship (ER) modelling is a popular technique for data modelling. Despite its popularity and widespread use, it lacks a firm semantic foundation. We propose a translation of an ER-model into relation algebra, suggesting that this kind of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04cf1c31b8da8c72bb52afe64651fdc8
https://doi.org/10.1016/j.tcs.2003.09.001