Research any topic before you write.

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

Ipcrm: Implementations & Overview

ipcrm is a Unix and Linux command which will mark System V interprocess communication API kernel entities for removal. Actual removal is deferred until the last connected process has detached.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Ipcrm topic overview

The analysis highlights Implementations and Overview as prominent areas in the source structure around Ipcrm.

Related topics
9
Source areas
2
Connected nodes
11
Extracted relationships
7
Concept neighborhoods
11
Bridge connections
11

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 · 6 topics
Implementations · 3 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.

Developers
Various open-source and commercial developers
Operating system
Unix, Unix-like, IBM i
Type
Command

Explore all related topics Closing gaps

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.

Overview

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.

How Ipcrm connects Entity context

The extracted context around Ipcrm shows recurring relationship patterns in the source. For example, Ipcrm → IBM, On Linux, The Another extracted example is Ipcrm → Various open-source and commercial developers. Use these groups to spot repeated connection types before inspecting the individual relationships.

Ipcrm

Top relations

related to Implementations · 3
Ipcrm → IBM, On Linux, The
Developers · 1
Ipcrm → Various open-source and commercial developers
Operating system · 1
Ipcrm → Unix, Unix-like, IBM i
Type · 1
Ipcrm → Command
is a · 1
Ipcrm → Unix and Linux command which will mark System V interprocess communication API kernel entities for removal

Important terminology

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

Important terminology

system command unix kernel interprocess communication entities removal linux ipc also operating ibm semaphore mark api actual deferred last connected

Ipcrm relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Ipcrm. Examples in this analysis include Ipcrm → Developers → Various open-source and commercial developers and Ipcrm → Operating system → Unix, Unix-like, IBM i. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
IpcrmDevelopersVarious open-source and commercial developers1.00infobox
IpcrmOperating systemUnix, Unix-like, IBM i1.00infobox
IpcrmTypeCommand1.00infobox
Ipcrmis aUnix and Linux command which will mark System V interprocess communication API kernel entities for removal0.90text
Ipcrmrelated to ImplementationsOn Linux0.60section
Ipcrmrelated to ImplementationsThe0.60section
Ipcrmrelated to ImplementationsIBM0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Ipcrm bring nearby vocabulary together. In this analysis, examples include Command, System and Unix. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Ipcrm
    • Command
    • System
    • Unix
    • Also
    • Communication
    • Entities
    • Ibm
    • Interprocess
    • Ipc
    • Kernel
    • Linux
    • Operating
  • ipcrm
    • Command
    • System
    • Unix
    • Also
    • Communication
    • Entities
    • Ibm
    • Interprocess
    • Ipc
    • Kernel
    • Linux
    • Operating
  • command
    • System
    • Ipcrm
    • Also
    • Communication
    • Entities
    • Ibm
    • Interprocess
    • Kernel
    • Linux
    • Operating
    • Unix
    • Api
  • kernel
    • Linux
    • System
    • Unix
    • Arrays
    • External
    • Implementations
    • Links
    • Mark
    • Memory
    • Message
    • Queues
    • References
  • linux
    • Kernel
    • System
    • Unix
    • Arrays
    • External
    • Implementations
    • Links
    • Mark
    • Memory
    • Message
    • Queues
    • References
  • implementations
    • External
    • Links
    • Memory
    • Message
    • Queues
    • References
    • See
    • Segments
    • Semaphore
    • Shared
    • Also
    • Ibm
  • system v
    • Also
    • Ibm
    • Kernel
    • Operating
    • Unix
    • Arrays
    • External
    • Implementations
    • Links
    • Memory
    • Message
    • Queues
  • ibm i
    • Operating
    • System
    • Implementations
    • Ipcrm
    • Links
    • Memory
    • Message
    • Queues
    • References
    • See
    • Segments
    • Semaphore

Connections between topic areas Semantic bridges

For Ipcrm, one of the stronger structural bridges in this analysis connects Ipcrm 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.

Min side: 3
IpcrmOverview · splits 5 ⟂ 7
IpcrmImplementations · splits 8 ⟂ 4

Map overview Semantic statistics

Ipcrm

Nodes12
Edges11
Triples7
Avg. degree1.83
Density0.166667
Components1

Source & methodology

TTTA analyzes the structure around Ipcrm to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Implementations & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Ipcrm · EN edition · Analysis: TopicsToTalkAbout

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