Research any topic before you write.

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

Fosfa

Fosfa a.s. (do 5. června 2014 Fosfa akciová společnost) je chemický podnik sídlící v břeclavské čtvrti Poštorná. Společnost se zabývá především výrobou detergentů, kyseliny fosforečné a fosforečnanů. Generálním ředitelem je Ivan Baťka.

[CS, Czech, Čeština]

Historie & Overview

Interactive map loads when it comes into view.
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 Fosfa. 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Adresa sídla
Hraniční 268/120, Břeclav, 691 41, Česko
Celková aktiva
2 mld. Kč (2017)
Datum založení
31. prosince 1990
IČO
00152901
LEI
31570010000000030359
Majitel
FB Holding

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

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

Overview

Historie

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

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Fosfa

Nodes13
Edges12
Triples17
Avg. degree1.85
Density0.153846
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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

Fosfa

Top relations

Adresa sídla · 1
Fosfa → Hraniční 268/120, Břeclav, 691 41, Česko
Celková aktiva · 1
Fosfa → 2 mld. Kč (2017)
Datum založení · 1
Fosfa → 31. prosince 1990
IČO · 1
Fosfa → 00152901
LEI · 1
Fosfa → 31570010000000030359
Majitel · 1
Fosfa → FB Holding
Mateřská společnost · 1
Fosfa → FB Holding
Oblast činnosti · 1
Fosfa → chemický průmysl
Obrat · 1
Fosfa → 2,8 mld. Kč (2017)
Oficiální web · 1
Fosfa → web.fosfa.cz

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Important terminology

společnost 2017 mld podnik akciová chemický kyseliny 31 prosince datové položky oficiální břeclavské poštorná detergentů fosforečnanů roce června 2014

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
FosfaAdresa sídlaHraniční 268/120, Břeclav, 691 41, Česko1.00infobox
FosfaCelková aktiva2 mld. Kč (2017)1.00infobox
FosfaDatum založení31. prosince 19901.00infobox
FosfaIČO001529011.00infobox
FosfaLEI315700100000000303591.00infobox
FosfaMajitelFB Holding1.00infobox
FosfaMateřská společnostFB Holding1.00infobox
FosfaOblast činnostichemický průmysl1.00infobox
FosfaObrat2,8 mld. Kč (2017)1.00infobox
FosfaOficiální webweb.fosfa.cz1.00infobox
FosfaOpenCorporates IDcz/001529011.00infobox
FosfaProduktyprací prostředek, kyselina fosforečná a fosforečnany1.00infobox
FosfaProvozní zisk81,9 mil. Kč (2017)1.00infobox
FosfaPrávní formaakciová společnost1.00infobox
FosfaVlastní kapitál1,5 mld. Kč (2017)1.00infobox
FosfaVýsledek hospodaření−538 000 Kč (2017)1.00infobox
FosfaZaměstnanci279 (2017)1.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

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

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