知识图谱简介

什么是知识图谱？

  • Knowledge in graph form!
  • Captures entities, attributes, and relationships
  • Nodes are entities
  • Nodes are labeled with attributes (e.g., types)
  • Typed edges between two nodes capture a relationship between entities

简单的说，知识图谱就是一张图，用来描述节点之间的关系。

知识图谱的来源？

  • Structured Text (Wikipedia Infoboxes, tables, databases, social nets)
  • Unstructured Text (WWW, news, social media, reference articles)
  • Images
  • Video (YouTube, video feeds)

知识图谱如何被使用？

Human perspective:

  • Combat information overload
  • Explore via intuitive structure
  • Tool for supporting knowledge-driven tasks

AI perspective:

  • Key ingredient for many AI tasks
  • Bridge from data to human semantics
  • Use decades of work on graph analysis

常见的应用:

  • QA/Agents
  • Decision Support
  • Fueling Discovery

工业界的使用包括: Google Knowledge Graph(Google Knowledge Vault), Amazon Product Graph, Facebook Graph API, IBM Watson, Microsoft Satori, LinkedIn Knowledge Graph, Yandex Object Answer, Diffbot, GraphIQ, Maana, ParseHub, Reactor Labs, SpazioDati

典型的知识图谱架构？

基本流程如下：

  1. 数据获取
  2. 信息提取
  3. 本体映射
  4. 实体解析
  5. 知识图谱的部署
  6. 图谱具体应用

Knowledge Graph

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