Enabling Efficient Discovery via Linking Information

The discussion focused around the attributes of scholarly projects and the comments and people associated with them that can then be used for discovery tools.

Attributes that describe a single work that can be used to enable discoverability of new works

  • who is reading it
  • properties of people reading it, and of the authors (university, location, field, etc.)
  • tags (user generated and author generated)
  • citation network, and network of citations to reviews/responses
  • reading habits of people participating in a discussion of a paper
  • geocoding
  • associated funding
  • corpus of a paper
  • associated social media and habits of social media

How do we use those attributes to enhance discoverability?

  • Aggregation by tags, sorting by scores or other properties – date, time, etc.
  • Build networks of influence based on group of people, then see what the ‘most influential are reading/reviewing, or build a network of papers based on a circle of people and their reading habits
  • You want to find things that are near each other in a given ‘space’ – can use information for people as well as information about a product and its content
  • Must have ability to stumble on something highly related, even if not reviewed.
  • Concentrating on pieces that bridge multiple fields and seeing where else they go
  • Visualize connections of these tags
  • Overlays of a paper that convey some of this information

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