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Steve Vai: Biografie, Diskografie (výběr) & Overview
Steven Siro Vai (* 6. června 1960 New York) je americký kytarista, zpěvák, skladatel a producent. Držitel ceny Grammy (plus 9 nominací), je uznávaný jako jeden z nejlepších kytaristů všech dob, je žákem Joe Satrianiho a absolvent Berklee College of Music. Nahrával a cestoval na turné s hudebníky jako Alcatrazz, David Lee Roth nebo Whitesnake, dále…
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Steve Vai topic overview
The analysis highlights Biografie, Diskografie (výběr) and Overview as prominent areas in the source structure around Steve Vai.
Related topics
66
Source areas
5
Connected nodes
71
Extracted relationships
76
Concept neighborhoods
18
Bridge connections
71
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.
Biografie · 23 topics
Diskografie (výběr) · 20 topics
Overview · 19 topics
Hudební nástroje a aparatura · 2 topics
Odkazy · 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.
Aktivní roky
1978–současnost
Manžel/ka
Pia Maiocco (od 1988)
Narození
6. června 1960 (66 let) Carle Place, New York, USA
Nástroje
Kytara, zpěv, sitar, baskytara, klávesy
Ocenění
Cena Grammy
Příbuzná témata
David Lee Roth Whitesnake Alcatrazz Frank Zappa G3 Public Image Ltd Ozzy Osbourne
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 Steve Vai 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 Steve Vai shows recurring relationship patterns in the source. For example, Steve Vai → Alien Love Secrets, Alive In An Ultra, An Anthology, Archives Vol, Are, Enchanting Guitar Melodies, Fire Garden, Flex-Able, Flex-Able Leftovers, FZ Original Recordings, Inviolate, Light, Live, London, Modern Primitive, Mystery Tracks, Passion, Real Illusions, Reflections, Religion Another extracted example is Steve Vai → Během, Carvin, Ibanez, Ibanez JEM, Ibanez Pia, Ibanez Universe, Morley, Novinkou, Steve Vai Bad Horsie, Steve Vai Legacy, Steveův, Synergy, Vai, Ve, Workhorse. Use these groups to spot repeated connection types before inspecting the individual relationships.
Steve Vai
Top relations
related to Diskografie (výběr)· 39
Steve Vai → Alien Love Secrets, Alive In An Ultra, An Anthology, Archives Vol, Are, Enchanting Guitar Melodies, Fire Garden, Flex-Able, Flex-Able Leftovers, FZ Original Recordings, Inviolate, Light, Live, London, Modern Primitive, Mystery Tracks, Passion, Real Illusions, Reflections, Religion
related to Hudební nástroje a aparatura· 15
Steve Vai → Během, Carvin, Ibanez, Ibanez JEM, Ibanez Pia, Ibanez Universe, Morley, Novinkou, Steve Vai Bad Horsie, Steve Vai Legacy, Steveův, Synergy, Vai, Ve, Workhorse
related to Externí odkazy· 10
Steve Vai → Carvin, Ibanez JEM, Ibanez UV, IbanezJemsite, Morley, MySpace, Obrázky, Wikimedia CommonsSteve Vai, Would Love To, YouTubeIbanez
Aktivní roky· 1
Steve Vai → 1978–současnost
Manžel/ka· 1
Steve Vai → Pia Maiocco (od 1988)
Narození· 1
Steve Vai → 6. června 1960 (66 let) Carle Place, New York, USA
Nástroje· 1
Steve Vai → Kytara, zpěv, sitar, baskytara, klávesy
Ocenění· 1
Steve Vai → Cena Grammy
Příbuzná témata· 1
Steve Vai → David Lee Roth Whitesnake Alcatrazz Frank Zappa G3 Public Image Ltd Ozzy Osbourne
Rodné jméno· 1
Steve Vai → Steven Siro Vai
Important terminology
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.
Steve Vai relationships Subject–Predicate–Object triples
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 76 structured relationships around Steve Vai. Examples in this analysis include Steve Vai → Aktivní roky → 1978–současnost and Steve Vai → Manžel/ka → Pia Maiocco (od 1988). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Steve Vai
Aktivní roky
1978–současnost
1.00
infobox
Steve Vai
Manžel/ka
Pia Maiocco (od 1988)
1.00
infobox
Steve Vai
Narození
6. června 1960 (66 let) Carle Place, New York, USA
1.00
infobox
Steve Vai
Nástroje
Kytara, zpěv, sitar, baskytara, klávesy
1.00
infobox
Steve Vai
Ocenění
Cena Grammy
1.00
infobox
Steve Vai
Příbuzná témata
David Lee Roth Whitesnake Alcatrazz Frank Zappa G3 Public Image Ltd Ozzy Osbourne
1.00
infobox
Steve Vai
Rodné jméno
Steven Siro Vai
1.00
infobox
Steve Vai
Sídlo
Encino
1.00
infobox
Steve Vai
Vydavatelé
Favored Nations, Relativity, Epic
1.00
infobox
Steve Vai
Web
vai.com
1.00
infobox
Steve Vai
Členem skupin
Alcatrazz Whitesnake Beat SATCHVAI Band
1.00
infobox
Steve Vai
Žánry
Instrumental rock, hard rock, heavy metal, glam metal, progressive rock, progressive metal, experimental rock
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 Steve Vai bring nearby vocabulary together. In this analysis, examples include Steve, Vai and Commons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Steve Vai
Steve
Vai
Commons
Jem
Of
Ibanez
The
Whitesnake
G3
Kytary
Usa
Jméno
steve vai
Steve
Vai
Commons
Ibanez
Jem
Whitesnake
Of
The
York
Června
G3
Kytary
6. června
New
Siro
Steven
York
Usa
Commons
David
Grammy
Image
Jméno
Let
Ltd
new york
Siro
Steven
York
Června
Usa
Commons
David
Grammy
Image
Jméno
Let
Ltd
grammy
Usa
Commons
David
Image
Jméno
Let
Ltd
New
Osbourne
Ozzy
Public
Roth
alcatrazz
David
Image
Ltd
Public
Roth
Lee
Usa
Whitesnake
Commons
Grammy
Jméno
Let
david lee roth
Image
Ltd
Public
Roth
Lee
Usa
Whitesnake
Commons
Grammy
Jméno
Let
New
public image ltd
Image
Ltd
Public
Roth
Lee
Usa
Whitesnake
Commons
Jméno
Let
New
Osbourne
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 Steve Vai, one of the stronger structural bridges in this analysis connects Steve Vai with Biografie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Steve Vai — Biografie· splits 48 ⟂ 24Steve Vai — Diskografie (výběr)· splits 51 ⟂ 21Steve Vai — Overview· splits 52 ⟂ 20Steve Vai — Hudební nástroje a aparatura· splits 69 ⟂ 3Steve Vai — Odkazy· splits 69 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Steve Vai
Nodes72
Edges71
Triples76
Avg. degree1.97
Density0.027778
Components1
Source & methodology
TTTA analyzes the structure around Steve Vai to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Biografie, Diskografie (výběr) & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
