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wordnet — WordNet relationships (2011)

Description

A network of English words and the lexical and semantic relationships between them, from WordNet 3.1 (released in 2011), the lexical database of English developed at Princeton University. WordNet groups nouns, verbs, adjectives and adverbs into sets of synonyms (synsets), each expressing a distinct concept, which are linked by semantic relations (e.g. hypernymy, meronymy or entailment); some relations (e.g. antonymy or derivation) instead link individual words of two synsets. Each node is a word (a lemma, which can be a multi-word expression such as "New York"; different capitalizations are different words), and an undirected edge connects two words if they are synonyms (members of the same synset), if their synsets are related by a semantic relation, or if they are directly related by a lexical relation. All relations of the database are included. Words that occur only in a synset of their own and without relations are not part of the network.

This network replaces an earlier version built from the RDF version of WordNet 3.1, which is no longer available; this version is built in the same way from the original WordNet 3.1 database files, and has about 2% more nodes and 5% more edges than the earlier one.

The network has the following properties:

  • (Node) name: the word.
  • (Node) pos: the list of its parts of speech (noun, verb, adjective, adverb).
  • (Node) senses: the number of synsets that contain it.
  • (Edge) relations: the list of the relations between the two words (synonym for words in the same synset; otherwise the WordNet pointer types, e.g. hypernym, hyponym, antonym, derivationally related form, similar to, member meronym, domain of synset (topic)). Since WordNet records most relations in both directions, both a relation and its inverse (e.g. hypernym and hyponym) usually appear, and the direction of a relation is not recorded.
Tags
Informational Language Unweighted Metadata
Added
2020-08-11
Citation
Upstream URL OK
https://wordnet.princeton.edu/
Upstream license
WordNet 3.0 license, https://wordnet.princeton.edu/license-and-commercial-use
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
wordnet 146,005 656,999 9.00 20.48 65.16 224.54 -0.06 0.10 16 0.99 Undirected Unipartite 3.0 MiB 4.8 MiB 4.8 MiB 4.1 MiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.