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Semantic data mining of literature

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Semantic data mining of literature

  1. 1. Semantic data mining of literature David (Dauvit) King The Open University [email_address] Workpackage 7 Biodiversity literature access and data mining ViBRANT Virtual Biodiversity
  2. 2. Who we are & what we do <ul><li>University specialising in distance-education </li></ul><ul><li>Experience with: </li></ul><ul><li>natural language processing </li></ul><ul><li>semantic web </li></ul><ul><li>citizen science </li></ul><ul><li>Your place to share nature: iSpot </li></ul>5
  3. 3. What we will do in ViBRANT <ul><li>Deliver automated and semi-automated data extraction and disambiguation from scanned literature </li></ul>5
  4. 4. How we are doing it <ul><li>Apply data mining techniques to scanned literature </li></ul><ul><li>Determine context for disambiguation </li></ul><ul><li>Validate using existing Biodiversity resources </li></ul>5
  5. 5. Who are our users & how will they engage? <ul><li>Taxonomists and citizen scientists via Scratchpads… </li></ul><ul><li>and potentially anyone interested in biodiversity using a recognised resource </li></ul>5
  6. 6. <ul><li>As this is the last of the </li></ul><ul><li>B iodiversity l iterature a ccess </li></ul><ul><li>a n d d ata mining </li></ul><ul><li>lightning talks, </li></ul><ul><li>back to David Morse for the </li></ul><ul><li>WP7 discussion and your questions. </li></ul>6

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