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dBase byl první masověji rozšířený systém řízení báze dat (SŘBD, DBMS) pro mikropočítače, který byl publikován americkou firmou Ashton-Tate pro CP/M. A později pro Apple II, Apple Macintosh, UNIX, VMS a IBM PC pod DOS,kde se na mnoho let stal jedním z nejprodávanějších softwarových titulů. dBase pomalu úspěšně přecházel pod Microsoft Windows a pozvolna…
The analysis highlights Nedávná historie, .dbf and Vznik dBase as prominent areas in the source structure around DBase.
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.
Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around DBase shows recurring relationship patterns in the source. For example, DBase → Ashton-Tate, CP/M, George Tate, Information System, Jeba Longa, Jet Propulsion Laboratory Display, JPLDIS, Jsou, Podle Ratliffa, Původním, Ratliff, Ratliffem, RETRIEVE, Spockovi, Star Trek, Vulcan, Wayne Ratliff, Založil Another extracted example is DBase → Extra, Organizace, Přístup, Přístupové, SQLite, SŘBD, Výchozím. 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.
inc ashton-tate souboru roce windows dbf dat cp dos soubor let jpldis xbase clipper foxpro ratliff systém řízení báze mikropočítače
TTTA extracted 34 structured relationships around DBase. Examples in this analysis include DBase → Aktuální verze → dBASE® 2019.1 (2019) and DBase → Operační systém → DOS CP/M. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| DBase | Aktuální verze | dBASE® 2019.1 (2019) | 1.00 | infobox |
| DBase | Operační systém | DOS CP/M | 1.00 | infobox |
| DBase | Typ softwaru | systém řízení báze dat | 1.00 | infobox |
| DBase | Vyvíjeno v | jazyk symbolických adres | 1.00 | infobox |
| DBase | Vývojář | Wayne Ratliff a Ashton-Tate | 1.00 | infobox |
| DBase | Web | www.dbase.com | 1.00 | infobox |
| DBase | related to .dbf | Výchozím | 0.60 | section |
| DBase | related to .dbf | SQLite | 0.60 | section |
| DBase | related to .dbf | Extra | 0.60 | section |
| DBase | related to .dbf | Organizace | 0.60 | section |
| DBase | related to .dbf | SŘBD | 0.60 | section |
| DBase | related to .dbf | Přístup | 0.60 | section |
The concept neighborhoods around DBase bring nearby vocabulary together. In this analysis, examples include Windows, Báze and Dos. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For DBase, one of the stronger structural bridges in this analysis connects DBase 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.
TTTA analyzes the structure around DBase to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Nedávná historie, .dbf & Vznik dBase, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — DBase · CS edition · Analysis: TopicsToTalkAbout