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BauMax: Historie, BauMax v Česku & Overview
BauMax byl v letech 1978–2015 rakouský řetězec hobbymarketů. Na vrcholu svého podnikání kolem roku 2010 řetězec podnikal v devíti zemích Evropy, záhy se však kvůli špatnému plánování a investicím dostal do finančních problémů, které vedly až k jeho likvidaci a prodeji. V Česku se novým majitelem většiny prodejen bauMax stal polský řetězec Merkury Market…
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BauMax topic overview
The analysis highlights Historie, BauMax v Česku and Overview as prominent areas in the source structure around BauMax.
Related topics
42
Source areas
3
Connected nodes
45
Extracted relationships
81
Concept neighborhoods
10
Bridge connections
45
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Historie · 34 topics
BauMax v Česku · 6 topics
Overview · 2 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Adresa sídla
Aufeldstraße 17–23 3400 Klosterneuburg
Datum založení
1976
Datum zániku
2015
ISIN
AT0000629639
LEI
5299003OJ63JPZGDLT05
Nástupci
OBI Merkury Market Leroy Merlin další
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How BauMax connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around BauMax shows recurring relationship patterns in the source. For example, BauMax → Bulharsku, Esslových, Hagebau, HomeMax, Leroy Merlin, Maďarsku, Merkury Market, OBI, Podnikání, Postupně, Počátkem, Přes, Rakousku, Rakousku Hornbach, Rumunsku, Rychlá, Turecku, Uzavřeny, Už, XXXLutz Another extracted example is BauMax → Chodově, Do, Fetrovské, Firma, Firmě, Hanspaulce, IČ, Kč, Městského, Počet, Praze, Pražské, První, Türkově, Ve. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 81 structured relationships around BauMax. Examples in this analysis include BauMax → Adresa sídla → Aufeldstraße 17–23 3400 Klosterneuburg and BauMax → Datum založení → 1976. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
BauMax
Adresa sídla
Aufeldstraße 17–23 3400 Klosterneuburg
1.00
infobox
BauMax
Datum založení
1976
1.00
infobox
BauMax
Datum zániku
2015
1.00
infobox
BauMax
ISIN
AT0000629639
1.00
infobox
BauMax
LEI
5299003OJ63JPZGDLT05
1.00
infobox
BauMax
Nástupci
OBI Merkury Market Leroy Merlin další
1.00
infobox
BauMax
Oblast činnosti
maloobchod
1.00
infobox
BauMax
Osud
prodej podnikání v důsledku zadlužení a ztráty
1.00
infobox
BauMax
Právní forma
akciová společnost
1.00
infobox
BauMax
Rozsah působení
Evropa
1.00
infobox
BauMax
Služby
hobbymarket
1.00
infobox
BauMax
Sídlo
Klosterneuburg, Rakousko Rakousko
1.00
infobox
BauMax
Zakladatel
Karlheinz Essl
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around BauMax bring nearby vocabulary together. In this analysis, examples include Česku, Prodejen and Měl. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
BauMax
Česku
Prodejen
Měl
Roce
Market
Merkury
Později
První
Prodejny
Hobbymarketů
Letech
Praze
baumax
Česku
Prodejen
Měl
Roce
Market
Merkury
Později
První
Prodejny
Hobbymarketů
Letech
Praze
baumax v česku
Market
Merkury
Česku
Prodejen
Měl
Roce
Obi
Praze
První
Později
Prodejny
Dornbirn
obi
Rakousko
Rakouském
Polský
Společnost
Sídla
Zemích
Ztráty
První
Česku
Podnikání
Prodejen
Prodejny
akciovou společnost
Rakousko
Obi
Sídla
Ztráty
První
Česku
Roce
společnost s ručením omezeným
Rakousko
Obi
Sídla
Ztráty
První
Česku
Roce
městského soudu v praze
Chodově
Sídla
Česko
Česku
Roku
Prodejny
praze
Chodově
Sídla
Česko
Česku
Roku
Prodejny
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For BauMax, one of the stronger structural bridges in this analysis connects BauMax with Historie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
BauMax
Nodes46
Edges45
Triples81
Avg. degree1.96
Density0.043478
Components1
Source & methodology
TTTA analyzes the structure around BauMax to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, BauMax v Česku & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
