{
  "id": 8778,
  "url": "https://doi.org/10.1162/qss_a_00021",
  "title": "Microsoft Academic Graph: When experts are not enough",
  "summary": "An ongoing project explores the extent to which artificial intelligence (AI), specifically in the areas of natural language processing and semantic reasoning, can be exploited to facilitate the studies of science by deploying software agents equipped with natural language understanding capabilities to read scholarly publications on the web. The knowledge extracted by these AI agents is organized into a heterogeneous graph, called Microsoft Academic Graph (MAG), where the nodes and the edges repr",
  "authors": "Kuansan Wang, Z. Shen, Chiyuan Huang, Chieh‐Han Wu, Yuxiao Dong, Anshul Kanakia",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": "microsoft",
  "regions": null,
  "published_at": "2020-01-23T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:43.491Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8778",
  "original_url": "https://doi.org/10.1162/qss_a_00021",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}