Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Entity-relationship model

Entity-relationship model (ERM), entitně vztahový model se v softwarovém inženýrství používá pro abstraktní a konceptuální znázornění dat. Entity-relationship modelování je metoda datového modelování, která vytváří jeden z typů konceptuálních schémat či sémantických datových modelů systému (obvykle relační databáze) a požadavků na něj stylem shora dolů.

Nástroje pro vytváření ER diagramů, Alternativní konvence pro psaní diagramů & Úvod

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Entity-relationship model. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Úvod

Propojení

Alternativní konvence pro psaní diagramů

Nástroje pro vytváření ER diagramů

Odkazy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Entity-relationship model

Nodes59
Edges58
Triples47
Avg. degree1.97
Density0.033898
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Entity-relationship model

Top relations

related to Externí odkazy · 21
Entity-relationship model → Acme Fashion Supplies, Case, Chapter, Chinese, Data Modeling, Diagram Example, E-R, English, Entity-relationship, Entity-Relationship DiagramsPříklad Entity Relationship, ER, Getting, LDSs, Mark, Obrázky, Origins, Peter Chen, RidleyLogical Data Structures, Structured Analysis Wiki, Tony DrewryIntroduction
related to Literatura · 20
Entity-relationship model → ACM Transactions, Addison-Wesley, Basingstoke, CASE Method, Data, Database Systems, Deliverables, England, Houndmills, March, PalgraveCHEN, Paul Beynon-Davies, Peter, Richard Barker, Tasks, The Entity-Relationship Model, Toward, UK, Unified View, Wokingham
related to Alternativní konvence pro psaní diagramů · 4
Entity-relationship model → Alternativní, Chenova, Chenovy, Tato
related to Reference · 2
Entity-relationship model → Entity-relationship, Wikipedii

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

entita notace entity-relationship er jako entity vztahy crow's jsou entit model modelování foot vztahu vztahů obvykle databázi například příklad to

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Entity-relationship modelrelated to Alternativní konvence pro psaní diagramůChenova0.60section
Entity-relationship modelrelated to Alternativní konvence pro psaní diagramůTato0.60section
Entity-relationship modelrelated to Alternativní konvence pro psaní diagramůChenovy0.60section
Entity-relationship modelrelated to Alternativní konvence pro psaní diagramůAlternativní0.60section
Entity-relationship modelrelated to Externí odkazyObrázky0.60section
Entity-relationship modelrelated to Externí odkazyEntity-relationship0.60section
Entity-relationship modelrelated to Externí odkazyWikimedia CommonsYourdon0.60section
Entity-relationship modelrelated to Externí odkazyStructured Analysis Wiki0.60section
Entity-relationship modelrelated to Externí odkazyChapter0.60section
Entity-relationship modelrelated to Externí odkazyEntity-Relationship DiagramsPříklad Entity Relationship0.60section
Entity-relationship modelrelated to Externí odkazyDiagram Example0.60section
Entity-relationship modelrelated to Externí odkazyOrigins0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.