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Jób: Jóbův původ, Overview & Odkazy
Jób (hebrejsky אִיּוֹב Ijov, arabsky أَيُّوبٌ Ajjúb, ) je biblická postava, vzor a prototyp trpícího spravedlivého. Jób je hlavní postavou stejnojmenné starozákonní knihy Jób, jež je v rámci Tanachu zařazena mezi Spisy. Jméno se vykládá jako „Pronásledovaný“ či „Vystavený nepřátelství“.
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Jób topic overview
The analysis highlights Jóbův původ, Overview and Odkazy as prominent areas in the source structure around Jób.
Related topics
46
Source areas
3
Connected nodes
49
Extracted relationships
58
Concept neighborhoods
10
Bridge connections
49
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.
Overview · 23 topics
Jóbův původ · 15 topics
Odkazy · 8 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.
Bydliště
Land of Uz
Choť
Job's wife
Děti
Keziah Jemima Keren-happuch
Nábož. vyznání
Nabataean religion
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 Jób 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 Jób shows recurring relationship patterns in the source. For example, Jób → Adolf, Akropolis, Biblický, BINDER, DOUGLAS, Edition, Heslo Job, Heslo Jób, ISBN, James Dixon, Jan, Jobem, Kalich, Karol, Kniha Jobova, NOVOTNÝ, Nový, Náboženství, Návrat, Obrana Another extracted example is Jób → Arábie, Ať, Bileám, Bileáma, Chorejce Seíra, Dcera, Edómu, Ezaua, Faraón, Izraele, Jeden, Jetra, Jetro, Jóba, Mojžíš, Mojžíše, Na, Nicméně Septuaginta, Nilu, Pláč. 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 58 structured relationships around Jób. Examples in this analysis include Jób → Bydliště → Land of Uz and Jób → Choť → Job's wife. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Jób
Bydliště
Land of Uz
1.00
infobox
Jób
Choť
Job's wife
1.00
infobox
Jób
Děti
Keziah Jemima Keren-happuch
1.00
infobox
Jób
Nábož. vyznání
Nabataean religion
1.00
infobox
Jób
related to Externí odkazy
Slovníkové
0.60
section
Jób
related to Externí odkazy
Job
0.60
section
Jób
related to Externí odkazy
Wikislovníku Obrázky
0.60
section
Jób
related to Externí odkazy
Wikimedia Commons Encyklopedické
0.60
section
Jób
related to Externí odkazy
Ottově
0.60
section
Jób
related to Externí odkazy
Wikizdrojích
0.60
section
Jób
related to Jóbův původ
Jóba
0.60
section
Jób
related to Jóbův původ
Udává
0.60
section
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 Jób bring nearby vocabulary together. In this analysis, examples include Spravedlivého, Heslo and Kniha. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Jób
Spravedlivého
Heslo
Kniha
Jež
Synonymem
Člověka
Commons
Jako
Mojžíše
Žil
Bůh
Jeho
jób
Spravedlivého
Heslo
Kniha
Jež
Synonymem
Člověka
Commons
Jako
Mojžíše
Žil
Bůh
Jeho
biblická
Commons
Job
Spravedlivého
Heslo
Kniha
Jób
satan
Blakea
Představa
Williama
Jak
Věrnost
Commons
mojžíše
Neboť
Rozdíl
Tří
Zemi
Žil
bohatství
Jóba
Věrnost
Bůh
Jeho
jobova zvěst
Synonymem
Spravedlivého
Kniha
Jób
synonymem
Člověka
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 Jób, one of the stronger structural bridges in this analysis connects Jób with Overview. 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.
Jób
Nodes50
Edges49
Triples58
Avg. degree1.96
Density0.04
Components1
Source & methodology
TTTA analyzes the structure around Jób to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Jóbův původ, Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jób · CS edition · Analysis: TopicsToTalkAbout
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