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pro vyhledávání: '"entity relationship models"'
Autor:
Kaufmann, Michael
Entity relationship extraction envisions the automatic generation of semantic data models from collections of text, by automatic recognition of entities, by association of entities to form relationships, and by classifying these instances to assign t
Externí odkaz:
http://arxiv.org/abs/2201.05327
Autor:
Al-Fedaghi, Sabah
Publikováno v:
IJCSNS International Journal of Computer Science and Network Security, VOL.21 No.9, September 2021
Data modeling is a process of developing a model to design and develop a data system that supports an organization s various business processes. A conceptual data model represents a technology-independent specification of structure of data to be stor
Externí odkaz:
http://arxiv.org/abs/2109.14717
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
Autor:
Rosner, Frank, Hinneburg, Alexander
Big data analytics applications drive the convergence of data management and machine learning. But there is no conceptual language available that is spoken in both worlds. The main contribution of the paper is a method to translate Bayesian networks,
Externí odkaz:
http://arxiv.org/abs/1607.02399
Autor:
Mussa A. Omar
Publikováno v:
مجلة العلوم البحتة والتطبيقية, Vol 20, Iss 1, Pp 6-10 (2021)
Transforming natural language requirements into entities involves a thorough study of natural language text. Sometimes mistakes are made by designers when manually performing this transformation. Often, the process is time-consuming and inaccurate. H
Externí odkaz:
https://doaj.org/article/c1ed6e516c8a40c2af83c5272e6f2014
Autor:
Qiang Tong1, Haitao Cheng2 haitaoneu@126.com
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2017, Vol. 33 Issue 5, p2783-2792. 10p.
Publikováno v:
In Data & Knowledge Engineering 2009 68(10):1128-1155
Publikováno v:
Journal of Pure & Applied Sciences. 20:29-35
Extracting entities from natural language text to design conceptual models of the entity relationships is not trivial and novice designers and students can find it especially difficult. Researchers have suggested linguistic rules/guidelines for extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ce1159f2eed7bdd986ba5c5976557e9
https://doi.org/10.51984/jopas.v20i2.1329
https://doi.org/10.51984/jopas.v20i2.1329
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Autor:
Kaufmann Michael
Entity relationship extraction envisions the automatic generation of semantic data models from collections of text, by automatic recognition of entities, by association of entities to form relationships, and by classifying these instances to assign t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72b5ca9e53c2a6c1802e4163e6fc9f46