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Windows CardSpace: Overview, Release & Discontinuation
Windows CardSpace (codenamed InfoCard) is a discontinued identity selector app by Microsoft. It stores references to digital identities of the users, presenting them as visual information cards. CardSpace provides a consistent UI designed to help people to easily and securely use these identities in applications and web sites where they are accepted.…
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Windows CardSpace topic overview
The analysis highlights Overview, Release and Discontinuation as prominent areas in the source structure around Windows CardSpace.
Related topics
38
Source areas
3
Connected nodes
42
Extracted relationships
80
Concept neighborhoods
26
Bridge connections
42
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 · 34 topics
Release · 3 topics
Discontinuation · 1 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.
Developer
Microsoft
Operating system
Microsoft Windows
Successor
U-Prove
Type
Identity management system
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 Windows CardSpace 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 Windows CardSpace shows recurring relationship patterns in the source. For example, Windows CardSpace → Apple's Safari, Archived, ASP, CardSpace, CardSpaceMicrosoft Information Card Kit, CSS, Developer, Digital Me Archived, Firefox, HTML, Identity Selector, Information Card, Java RP, JavaScript, Kit, Linux, Mac OS XA, NET, NET Framework, NET Relying Party Another extracted example is Windows CardSpace → BMC, CardSpace, During, HTML, If, Microsoft, OBJECT, Other, PingIdentity, Security Token Service, Siemens, STS, Sun Microsystems, The, The CardSpace UI, This, To, Web, When, WS-MetadataExchange. Use these groups to spot repeated connection types before inspecting the individual relationships.
Windows CardSpace
Top relations
related to External links· 31
Windows CardSpace → Apple's Safari, Archived, ASP, CardSpace, CardSpaceMicrosoft Information Card Kit, CSS, Developer, Digital Me Archived, Firefox, HTML, Identity Selector, Information Card, Java RP, JavaScript, Kit, Linux, Mac OS XA, NET, NET Framework, NET Relying Party
related to overview· 25
Windows CardSpace → BMC, CardSpace, During, HTML, If, Microsoft, OBJECT, Other, PingIdentity, Security Token Service, Siemens, STS, Sun Microsystems, The, The CardSpace UI, This, To, Web, When, WS-MetadataExchange
related to Release· 14
Windows CardSpace → An, CardSpace, Credential Manager, It, Microsoft, NET Framework, Server, The, Windows, Windows Server, Windows Update, Windows Vista, Windows XP, XP
related to Discontinuation· 3
Windows CardSpace → Microsoft, On February, U-Prove
Developer· 1
Windows CardSpace → Microsoft
Operating system· 1
Windows CardSpace → Microsoft Windows
Service name· 1
Windows CardSpace → Windows CardSpace (.mw-parser-output .monospaced{font-family:monospace,monospace}idsvc)
Successor· 1
Windows CardSpace → U-Prove
Type· 1
Windows CardSpace → Identity management system
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.
Windows CardSpace 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 80 structured relationships around Windows CardSpace. Examples in this analysis include Windows CardSpace → Developer → Microsoft and Windows CardSpace → Operating system → Microsoft Windows. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Windows CardSpace
Developer
Microsoft
1.00
infobox
Windows CardSpace
Operating system
Microsoft Windows
1.00
infobox
Windows CardSpace
Service name
Windows CardSpace (.mw-parser-output .monospaced{font-family:monospace,monospace}idsvc)
1.00
infobox
Windows CardSpace
Successor
U-Prove
1.00
infobox
Windows CardSpace
Type
Identity management system
1.00
infobox
full name
instance of
which can contain one or more of 14 fields of identity information
0.80
text
address
instance of
which can contain one or more of 14 fields of identity information
0.80
text
Windows CardSpace
related to Discontinuation
On February
0.60
section
Windows CardSpace
related to Discontinuation
Microsoft
0.60
section
Windows CardSpace
related to Discontinuation
U-Prove
0.60
section
Windows CardSpace
related to External links
NET Framework
0.60
section
Windows CardSpace
related to External links
Developer
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 Windows CardSpace bring nearby vocabulary together. In this analysis, examples include Windows, Server and Management. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Windows CardSpace
Windows
Server
Management
Xp
Identity
Microsoft
Net
Framework
Information
Cards
Ui
Use
windows cardspace
Windows
Server
Framework
Management
Xp
Identity
Microsoft
Net
Information
Cards
Also
Shipped
identity selector
Card
Information
Obtain
Cameron's
Digital
Kim
Provides
Microsoft
Managed
Sts
Developer
Management
microsoft
Windows
Selector
U-prove
Developer
Management
Shipped
Sts
Net
Obtain
Server
Service
Card
digital identities
Visual
Ui
Cameron's
Kim
Provides
References
Selector
Users
Cards
Developer
Identities
Managed
information card
Cards
Managed
Obtain
Service
Token
User
Identity
Card
Information
Also
Claims
Developer
7 laws of identity
Card
Information
Obtain
Microsoft
Managed
Sts
Service
Token
User
Windows
Cards
Cameron's
windows xp
Vista
Server
Net
Framework
Management
Windows
Xp
Shipped
Developer
Service
User
Card
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 Windows CardSpace, one of the stronger structural bridges in this analysis connects Windows CardSpace 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.
Windows CardSpace
Nodes43
Edges42
Triples80
Avg. degree1.95
Density0.046512
Components1
Source & methodology
TTTA analyzes the structure around Windows CardSpace to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Release & Discontinuation, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
