On the public citation graph
Analysis of binary relationships within ternary relationships in ER modeling
0 signed · 20 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-59412-0_18openalex-snapshot
The Entity Relationship Model — Toward a Unified View of Data
inferredcites →https://doi.org/10.1016/0169-023x(85)90019-9openalex-snapshot
An analysis of multivalued and join dependencies based on the entity-relationship approach
inferredcites →https://doi.org/10.1109/tse.1983.235262openalex-snapshot
The Problem of Equivalence for Entity-Relationship Diagrams
inferredcites →https://doi.org/10.1145/132271.132273openalex-snapshot
Representing extended entity-relationship structures in relational databases
inferredcites →https://doi.org/10.1145/170088.170104openalex-snapshot
Binary relationship imposition rules on ternary relationships in ER modeling
inferredcites →https://doi.org/10.1145/320434.320440openalex-snapshot
The entity-relationship model—toward a unified view of data
inferredcites →https://doi.org/10.1145/66926.66967openalex-snapshot
On the correctness of representing extended entity-relationship structures in the relational model
inferredcites →https://doi.org/10.1145/7474.7475openalex-snapshot
A logical design methodology for relational databases using the extended entity-relationship model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45441-1_25openalex-snapshot
Semantics of the Minimum Multiplicity in Ternary Associations in UML
inferred← citeshttps://doi.org/10.1007/978-3-540-49524-6_11openalex-snapshot
Inference of Aggregate Relationships through Database Reverse Engineering
inferred← citeshttps://doi.org/10.1007/bfb0019936openalex-snapshot
Extracting n-ary relationships through database reverse engineering
inferred← citeshttps://doi.org/10.1007/bfb0020534openalex-snapshot
Binary representation of ternary relationships in ER conceptual modeling
inferred← citeshttps://doi.org/10.1007/s10270-002-0009-3openalex-snapshot
The meaning of multiplicity of n-ary associations in UML
inferred← citeshttps://doi.org/10.1016/s0169-023x(03)00049-1openalex-snapshot
An analysis of structural validity in entity-relationship modeling
inferred← citeshttps://doi.org/10.1016/s0169-023x(98)00017-2openalex-snapshot
Relational database reverse engineering: Algorithms to extract cardinality constraints
inferred← citeshttps://doi.org/10.1109/biwit.1997.614050openalex-snapshot
Knowledge discovery in relational database: extraction of n-ary relationships
inferred← citeshttps://doi.org/10.1109/icde.1995.380365openalex-snapshot
Ternary relationship decomposition strategies based on binary imposition rules
inferred← citeshttps://doi.org/10.1145/228329.228340openalex-snapshot
Ternary relationship decomposition and higher normal form structures derived from entity relationship conceptual modeling
inferred← citeshttps://doi.org/10.1145/288627.288674openalex-snapshot
An analysis of the structural validity of ternary relationships in entity relationship modeling
inferred← citeshttps://doi.org/10.5555/2075144.2075167openalex-snapshot
Semi-automatic conceptual data modeling using entity and relationship instance repositories
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.