Knowledge Extraction and Semantic Linking in the Encyclopedia of Life
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This talk describes work I have been doing with Cyndy Parr at EOL to annotate text with DBpedia URIs and to generate a species associations network. It was presented to the Boston Python User Group in April 2013.
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Knowledge Extraction and Semantic Linking in the Encyclopedia of Life
- 1. Knowledge extraction and semantic linking in the Encyclopedia of Life Anne Thessen annethessen@gmail.com
- 4. Performance Metrics • 1631 URIs assigned to 487 text objects from 21 test species • 83% were correct • 20% of the text objects were not assigned a URI • 239 keys in the dictionary • Precision 0.89, Recall 1, F1 Score 0.942
- 5. Challenges and Errors • Many ways to say the same thing – Uterine cannibalism = oophagy • Negation (9%) • Describing related taxa (30%) • Word/phrase part (27%) • Generalities (15%) • Homonym (13%)
- 9. Challenges Koko Горилла Guerilla Eastern Lowland Gorilla Gorilla graueri Gorilla berengei Gorilla beringei MatschieGorilla beringei mikenensis King kong Gorilla gorilla Virunga Gorila Gorille Mountain gorilla 大猩猩 ゴリラ
- 10. Challenges Contextual data Primate Monkey Eyes Food Panama Aotus nancymaae Disambiguate by authority, species, conte xtual data Contextual data Legume Plant Flower Mirbeliea Australia Aotus mollis