pkg.sopackage field notes

brew / 排名 6221

使用 Homebrew 安装 wordnet

查看 wordnet 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install wordnet

provider-native install command

概览

软件包摘要

Lexical database for the English language

命令和别名

  • wishwn
  • wn
  • wnb

历史

项目历史与用法

WordNet is Princeton University's English lexical database: nouns, verbs, adjectives, and adverbs are organized into synonym sets, or synsets, with semantic and lexical relations between them. In package collections it is both data and tooling: the database is the main artifact, while commands such as wn and browser front-ends let users query the lexical graph locally.

项目历史

The project began in the mid-1980s under Princeton psychologist George A. Miller, who later remained principal investigator of WordNet. Princeton's own news page records WordNet 3.1 reaching the web interface in June 2011, and the current Princeton site now states that Princeton WordNet is no longer developed while the database and tools remain freely available.

The post-Princeton maintenance story is part of WordNet's modern importance. Princeton points users toward community-led resources such as Open English WordNet and the Global Wordnet Association for ongoing support. Open English WordNet describes itself as a fork of Princeton WordNet developed under an open source methodology, preserving the Princeton lineage while moving maintenance into a public contribution model.

采用历史

WordNet became a reference resource for computational linguistics and natural language processing because it exposes word senses and semantic relationships rather than only word forms. Princeton's own description highlights this structure as useful for NLP, and later community work kept compatibility and comparability important by treating Princeton WordNet as the reference base.

The data also became a substrate for other resources. Princeton's news page points to ImageNet as a database of images linked to WordNet synsets, illustrating how the lexical graph escaped its original dictionary-browser niche and became infrastructure for machine learning datasets, annotation projects, and word-sense research.

使用方式

Typical package-manager usage is local lookup and batch querying: users install the database and CLI tools, then query synsets, definitions, relations, and morphology through wn or library bindings. In NLP pipelines, WordNet is often used as a stable lexical knowledge base for sense lookup, semantic relation traversal, lemmatization-adjacent workflows, and evaluation datasets.

Because the database is freely available and has a long-standing citation culture, WordNet also appears in reproducible research and educational settings where a fixed English lexical graph is more useful than a live online dictionary.

为什么软件包爱好者会关心

WordNet is one of the classic examples of packaging a large curated dataset as a Unix-installable artifact. It matters to package nerds because it is not merely a command-line program; it is a shared lexical corpus, a set of on-disk database files, manpage-documented tools, and a compatibility target for downstream libraries.

The Princeton-to-Open-English-WordNet transition is also a useful maintenance lesson: widely depended-on research data may outlive its original institutional development, so downstream packages preserve old releases while community forks carry the living vocabulary forward.

时间线

  • Mid-1980s: George A. Miller begins the WordNet project at Princeton.
  • June 2011: Princeton announces WordNet 3.1 on the web interface.
  • 2019: Open English WordNet is released as an open source fork of Princeton WordNet.
  • 2026: Princeton's WordNet site states that Princeton WordNet is no longer developed and directs users to community-led resources.

Related projects

  • Open English WordNet continues the English lexical database as an open source fork of Princeton WordNet.
  • The Global Wordnet Association provides a forum for wordnets across languages.
  • ImageNet is a notable downstream dataset linked to WordNet synsets.

安全态势

风险级别:blue

broad file, network, media, or database tool signal.

风险分类器

blue 风险 · 中 置信度 · tool

原因

  • broad file, network, media, or database tool signal

信号

  • text:database

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
wishwn可执行文件已索引可执行文件从本地可执行文件索引发现。
wn可执行文件已索引可执行文件从本地可执行文件索引发现。
wnb可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本3.1
管理器更新时间2026-06-22
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:wordnet
版本3.1
软件包管理器Homebrew
主页https://wordnet.princeton.edu/
最后更新2026-06-22T14:06:40-07:00
Pulseupdated
Bottle未记录
服务未声明

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • curated package history
  • pkgdb category and tag curation