Your SlideShare is downloading. ×
Entity identification and extraction
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Entity identification and extraction

650

Published on

Research project

Research project

Published in: Education, Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
650
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
15
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. ENTITYIDENTIFICATION AND CLASSIFICATION
  • 2. MOTIVATION :
  • 3. Automated Entity Identification and ExtractionOBJECTIVE : Entities
  • 4. PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> SELECT ?class WHERE { ?class rdfs:subClassOf owl:Thing . ?person rdf:type ?class . ?person <http://www.w3.org/2000/01/rdf-schema#label> "Anna"@en. }APPROACH : http://dbpedia.org/ontology/Stadium http://dbpedia.org/ontology/Bacteria http://dbpedia.org/ontology/Company http://dbpedia.org/ontology/GridironFootballPlayer http://dbpedia.org/ontology/Animal http://dbpedia.org/ontology/PersonFunction http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/School http://dbpedia.org/ontology/Governor http://dbpedia.org/ontology/Monarch http://dbpedia.org/ontology/Software http://dbpedia.org/ontology/ComicsCreator
  • 5. APPROACH : <dbpedia>http://dbpedia.org/resource/India</dbpedia> <ciaFactbook>http://www4.wiwiss.fu- berlin.de/factbook/resource/India</ciaFactbook> <freebase>http://rdf.freebase.com/ns/guid.9202a8c04000641f8000000000 01de20</freebase> <umbel>http://umbel.org/umbel/ne/wikipedia/India</umbel> <opencyc>http://sw.opencyc.org/concept/Mx4rvVj7XJwpEbGdrcN5Y29ycA </opencyc> <yago>http://mpii.de/yago/resource/India</yago>
  • 6. MAJOR STEPS :
  • 7. DBPedia Query:ARCHITECTURE : Pre- Parsing processing NOUN DB TWEETS PHRASES Frequency DBPedia Endpoint CANDIDATE SET
  • 8. Alchemy API : Pre-ARCHITECTURE : Query processing ALCHEMY API DB TWEETS type relevance name count CANDIDATE XML SET PARSER
  • 9. RESULT ANALYSIS : PROBLEMS
  • 10. India Corruption Royal WeddingRESULT ANALYSIS :
  • 11. RESULT ANALYSIS : PROBLEMS
  • 12. DBPEDIARESULT ANALYSIS : “Anna Hazare” “Anna”
  • 13. RESULT ANALYSIS : ALCHEMY API
  • 14. RESULT ANALYSIS : ALCHEMY API
  • 15. RESULT ANALYSIS :
  • 16. ALCHEMY API PROBLEMS:RESULT ANALYSIS :
  • 17. ALCHEMY API PROBLEMS:RESULT ANALYSIS :
  • 18. ALCHEMY API PROBLEMS:RESULT ANALYSIS :
  • 19. ALCHEMY API PROBLEMS:RESULT ANALYSIS :
  • 20. NOUN-PHRASES:DBPEDIA RESULTS:
  • 21. ALCHEMY API RESULT:
  • 22. WIKIPEDIA-BASED:
  • 23. WIKIPEDIA-BASED:
  • 24. String Similarity Measures:
  • 25. String Similarity Measures:
  • 26. STRING SIMILARITY:
  • 27. RESULTS:Sorted list Final list ofof entities entities obtained
  • 28. For the list of Noun-Phrases as the candidate set:EVALUATION:
  • 29. For the DBPedia-obtained candidate set:EVALUATION:
  • 30. For the Alchemy-API obtained candidate set:EVALUATION:
  • 31. WHAT ELSE :
  • 32. WHAT MORE TO DO : Relation between Entities
  • 33. LIMITATIONS :

×