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Umag (italsky Umago) je přístavní město, které leží v severozápadním cípu poloostrova Istrie, asi 30 km jižně od Terstu, v Istrijské župě Chorvatska. Jeho římskokatolická farnost náleží do diecéže Poreč–Pula.
The analysis highlights Historie, Geografické členění and Památky as prominent areas in the source structure around Umag.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Výchozí body odvozené z tematického grafu a seřazené nezávisle na pořadí ve zdrojovém článku.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
The extracted context around Umag shows recurring relationship patterns in the source. For example, Umag → Aquileji, Až, Benátské, Byzantské, Campo Formio, Gradu, Humacum, Ilyrským, Istrie, Italskému, Jeana-Gabrielea Le Terriera, Koperu, Křesťanská, Le Terrier, Napoleona, Napoleonova, Napoleonovým, Nejstarší, Neretvy, Období Another extracted example is Umag → Antonio Bosi, Antonína, Benátčan Francesco Dacci, Corneta, Cresine, Filippa Dongettiho, Giovane, Giuseppe Bernardina Bisona, Historické, Jana, Kostel, Kostel Zvěstování Panny Marie, Martina, Mramorové, Měla, Nicefora, Palma, Pelegrina, Peregrina, Petra. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
město roce umagu roku istrie století terstu římské jako jeho záliv commons chorvatsko pula jsou sv leží jižně centrem obce
TTTA extracted 84 structured relationships around Umag. Examples in this analysis include Umag → Adresa obecního úřadu → Ul. Giuseppe Garibaldi 6 52 470 Umag and Umag → Hustota zalidnění → 154,5 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Umag | Adresa obecního úřadu | Ul. Giuseppe Garibaldi 6 52 470 Umag | 1.00 | infobox |
| Umag | Hustota zalidnění | 154,5 obyv./km² | 1.00 | infobox |
| Umag | Nadmořská výška | 1 m n. m. | 1.00 | infobox |
| Umag | Oficiální web | umag.hr | 1.00 | infobox |
| Umag | Počet obyvatel | 12 699 (2021) | 1.00 | infobox |
| Umag | PSČ | 52470 | 1.00 | infobox |
| Umag | Rozloha | 82,20 km² | 1.00 | infobox |
| Umag | Souřadnice | 45°26′1″ s. š., 13°31′2″ v. d. | 1.00 | infobox |
| Umag | Starosta | Vili Bessanese | 1.00 | infobox |
| Umag | Stát | Chorvatsko Chorvatsko | 1.00 | infobox |
| Umag | Telefonní předvolba | 052 | 1.00 | infobox |
| Umag | Župa | Istrijská | 1.00 | infobox |
The concept neighborhoods around Umag bring nearby vocabulary together. In this analysis, examples include Roku, Wikimedia and Roce. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Umag, one of the stronger structural bridges in this analysis connects Umag 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.
TTTA analyzes the structure around Umag to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Geografické členění & Památky, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Umag · CS edition · Analysis: TopicsToTalkAbout
