Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Information card

An information card (or i-card) is a personal digital identity that people can use online, and the key component of an identity metasystem. Visually, each i-card has a card-shaped picture and a card name associated with it that enable people to organize their digital identities and to easily select one they want to use for any given interaction. The…

History, Overview & Types of i-cards

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Information card. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Overview

Windows CardSpaceHiggins Identity SelectorDigital identityRPBandit Project
18 related topics

Types of i-cards

OpenIDsNovell BrainShareURIsIdentity SelectorX.509
7 related topics

History of the terminology

E-mail
1 related topics

Software implementations

DACSWindows VistaWindows XPWindows Server 2003
4 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Sign-in capabilities

Types of i-cards

Claims

Interoperability and licensing

History of the terminology

Software implementations

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Information card

Nodes43
Edges42
Triples135
Avg. degree1.95
Density0.046512
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Information card

Top relations

related to Additional resources · 38
Information card → April, Arun Nanda, August, Bill Barnes, Browsers, Committee DraftAn Implementer's Guide, Design Rationale, Garrett Serack, Guide, IBM Interoperability Specifications Pledge, ID Card Over Passwords, Identity Metasystem Architecture, Identity Selector Interoperability Profile, IMI, Information Card FoundationIdentity Selector, Interoperability Profile, James Causey, January, Jones, July
related to Interoperability and licensing · 17
Information card → Committee Draft, IBM, Identity Metasystem, Identity Selector Interoperability Profile, Information Cards, Interoperable, Linux, Mac OS, Microsoft, OASIS IMI, Patent, The, The Information Cards, Together, Web, Web Services, Windows
related to Claims · 13
Information card → Another, Beyond, Claims, Identity Provider, Identity Providers, Information Cards, One, Relying Parties, Relying Party, Role, RPs, The, The Information Card
related to history · 12
Information card → At, Berkman/MIT Identity Mashup, InfoCard, IP, June, May, Microsoft, Open Specification Promise, The, TM, Until, Windows CardSpace
related to External links · 10
Information card → Announcement, Archived, February, Information Card Foundation Archived, June, May, Open Source Identity Systems, OSIS, Wayback Machine, Wayback MachineInformation Card Icon
related to Software implementations · 9
Information card → CardSpace, CHiggins, DACS, Identity Selector, Information Card STS, RP, Windows Server, Windows Vista, Windows XP
related to Types of i-cards · 9
Information card → Also, Committee Draft, Managed Information Cards, OASIS IMI, Personal Information Cards, Profile, RP, The Identity Selector Interoperability, These
related to overview · 8
Information card → For, Identity, Online, Relying, RPs, Subject, The, There
related to Personal cards · 7
Information card → Information, Microsoft-defined, Microsoft’s Windows CardSpace, November, Summary, The, Their
related to Sign-in capabilities · 3
Information card → Each, The, Using

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

identity information card cards claims selector used data use managed metasystem i-cards claim issuer digital personal interoperability identities user set

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
ageinstance ofonline services could provide verified data0.80text
and individuals might use self-issued identities to log onto websites.Relying partiesinstance ofonline services could provide verified data0.80text
Windows CardSpace representing digital identities owned by users as visual i-cards.Generic qualitiesI-cards are created by an entity known as a issuer.I-cards display the name of the issuerinstance ofThis is achieved via identity selector client software0.80text
Windows CardSpace representing digital identities owned by users as visual i-cardsinstance ofThis is achieved via identity selector client software0.80text
the Identity Selector Interoperability Profile v 1.5instance offile format and interoperability characteristics of these kinds of managed cards are defined by Microsoft documents0.80text
a SmartCard or it can be a software certificateinstance ofwhich can either be from a hardware device0.80text
online wine salesinstance ofand RPs accepting them for purposes0.80text
Information cardrelated to Additional resourcesTechnology Leaders Favor Online0.60section
Information cardrelated to Additional resourcesID Card Over Passwords0.60section
Information cardrelated to Additional resourcesNew York Times0.60section
Information cardrelated to Additional resourcesJun-080.60section
Information cardrelated to Additional resourcesInformation Card FoundationIdentity Selector0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.