Research any topic before you write.

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

NSD: Overview, Related Topics & Entities

In Internet computing, NSD (for "name server daemon") is an open-source Domain Name System (DNS) server. It was developed by NLnet Labs of Amsterdam in cooperation with the RIPE NCC, from scratch as an authoritative name server (i.e., not implementing the recursive caching function by design). The intention of this development is to add variance to the…

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%

NSD topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around NSD.

Related topics
10
Source areas
1
Connected nodes
11
Extracted relationships
10
Concept neighborhoods
10
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 · 10 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
NLnet Labs
License
BSD license
Operating system
Unix-like
Release
May 30, 2002; 24 years ago (2002-05-30)
Repository
github.com/NLnetLabs/nsd
Stable release
4.15.0 / 7 July 2026; 48 days ago (7 July 2026)

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

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 NSD connects Entity context

The extracted context around NSD shows recurring relationship patterns in the source. For example, NSD → LicenseNSD DNS Tutorial, Official Another extracted example is NSD → NLnet Labs. Use these groups to spot repeated connection types before inspecting the individual relationships.

NSD

Top relations

related to External links · 2
NSD → LicenseNSD DNS Tutorial, Official
Developer · 1
NSD → NLnet Labs
License · 1
NSD → BSD license
Operating system · 1
NSD → Unix-like
Release · 1
NSD → May 30, 2002; 24 years ago (2002-05-30)
Repository · 1
NSD → github.com/NLnetLabs/nsd
Stable release · 1
NSD → 4.15.0 / 7 July 2026; 48 days ago (7 July 2026)
Type · 1
NSD → DNS server
Website · 1
NSD → www.nlnetlabs.nl/projects/nsd/about/

Important terminology

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

Important terminology

root-servers net switched server dns name daemon servers internet nlnet labs used flaws uses zone-files may 2018 february system open-source

NSD relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around NSD. Examples in this analysis include NSD → Developer → NLnet Labs and NSD → License → BSD license. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
NSDDeveloperNLnet Labs1.00infobox
NSDLicenseBSD license1.00infobox
NSDOperating systemUnix-like1.00infobox
NSDReleaseMay 30, 2002; 24 years ago (2002-05-30)1.00infobox
NSDRepositorygithub.com/NLnetLabs/nsd1.00infobox
NSDStable release4.15.0 / 7 July 2026; 48 days ago (7 July 2026)1.00infobox
NSDTypeDNS server1.00infobox
NSDWebsitewww.nlnetlabs.nl/projects/nsd/about/1.00infobox
NSDrelated to External linksOfficial0.60section
NSDrelated to External linksLicenseNSD DNS Tutorial0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around NSD bring nearby vocabulary together. In this analysis, examples include February, May and Net. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • domain name system
    • Internet
    • Open-source
    • Server
    • System
    • Website
    • Amsterdam
    • Authoritative
    • Caching
    • Cooperation
    • Design
    • Dns
    • Function
  • NSD
    • February
    • May
    • Net
    • Open-source
    • Root-servers
    • Switched
    • System
    • Uses
    • Zone-files
    • Server
    • Servers
    • Also
  • nsd
    • February
    • May
    • Net
    • Open-source
    • Root-servers
    • Switched
    • System
    • Uses
    • Zone-files
    • Server
    • Servers
    • Also
  • server
    • Developed
    • Labs
    • Nlnet
    • Recursive
    • System
    • Also
    • Amsterdam
    • Authoritative
    • Caching
    • Cooperation
    • Design
    • Function
  • nlnet labs
    • Nlnet
    • Recursive
    • Server
    • Also
    • Function
    • Implementing
    • License
    • Ncc
    • Ripe
    • Scratch
    • Website
    • Open-source
  • amsterdam
    • Authoritative
    • Caching
    • Cooperation
    • Design
    • Function
    • Implementing
    • Ncc
    • Ripe
    • Scratch
    • Developed
    • Labs
    • Nlnet
  • internet
    • Domain
    • February
    • May
    • Net
    • Open-source
    • Root-servers
    • Switched
    • System
    • Daemon
    • Dns
    • Name
    • Nsd
  • open-source
    • System
    • Server
    • Also
    • License
    • Website
    • Developed
    • Labs
    • Nlnet
    • Recursive
    • Software

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the NSD map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

NSD

Nodes12
Edges11
Triples10
Avg. degree1.83
Density0.166667
Components1

Source & methodology

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

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

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