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Temporal entity-relationship models-a survey

IEEE Transactions on Knowledge and Data Engineering, 1999
The entity-relationship (ER) model, using varying notations and with some semantic variations, is enjoying a remarkable and increasing popularity in both the research community-the computer science curriculum-and in industry. In step with the increasing diffusion of relational platforms, ER modeling is growing in popularity.
Gregersen, Heidi   +1 more
openaire   +3 more sources

Evaluating the quality of entity relationship models

Information and Software Technology, 1995
Someswar Kesh
exaly   +2 more sources

Relaxing Constraints in Enhanced Entity-Relationship Models Using Fuzzy Quantifiers

IEEE Transactions on Fuzzy Systems, 2004
RamÓn Alberto Carrasco   +1 more
exaly   +2 more sources

iMER: Iterative Process of Entity Relationship and Business Proces Models Extraction from the Requirements

Information and Software Technology, 2020
Extracting conceptual models, e.g., entity relationship model or Business Process model, from software requirement document is an essential task in the software development life cycle.
Muhammad Javed, Yuqing Lin
semanticscholar   +1 more source

Deductive entity relationship modeling

IEEE Transactions on Knowledge and Data Engineering, 1993
An entity relationship oriented model, that includes the notion of class, together with different types of assertions on classes, is presented. The assertions are used to model IS-A and disjointness relations both between entities and between relationships, part-of relations between entities and relationships, mandatory participation of an entity in a ...
DI BATTISTA, Giuseppe, Lenzerini M.
openaire   +2 more sources

BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions

Bioinform., 2021
MOTIVATION Predicting entity relationship can greatly benefit important biomedical problems. Recently, a large amount of biomedical heterogeneous networks (BioHNs) are generated and offer opportunities for developing network-based learning approaches to ...
Xiaoqi Wang   +5 more
semanticscholar   +1 more source

Entity-relationship modeling

IEEE Potentials, 1995
The entity-relationship (ER) model and its accompanying ER diagrams are widely used for database design and systems analysis. Many books and articles just provide a definition of each modeling component and give examples of the pre-built ER diagrams.
null Il-Yeol Song, K. Froehlich
openaire   +1 more source

ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis

Annual Meeting of the Association for Computational Linguistics
Large language models (LLMs) have achieved commendable accomplishments in various natural language processing tasks. However, LLMs still encounter significant challenges when dealing with complex scenarios involving multiple entities.
Yanming Liu   +5 more
semanticscholar   +1 more source

The Entity-Relationship Model

1999
The Entity-Relationship model (abbreviated to ER model) is a data model, which allows us to model the semantics of a conceptual database schema. Actually, the ER model is only a partial data model, since it only caters for the data structure and integrity constraint parts of a data model with no provision being made for a query and update language.
Mark Levene, George Loizou
openaire   +2 more sources

Scenario-Entity Analysis based on an entity-relationship model: Revisiting crime reconstruction.

Forensic Science International, 2019
For a crime case, the related physical evidence and information can be termed entities, and there exist different types of relationships between entities.
Litao Wang   +4 more
semanticscholar   +1 more source

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