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Wikitology Wikipedia as an Ontology Zareen Syed, Tim Finin and Anupam Joshi zarsyed1@umbc.edu, finin@cs.umbc.edu, joshi@cs.umbc.edu University of Maryland Baltimore County
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],   intro     wikipedia    experiments    evaluation    next    conclusion  
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],   intro     wikipedia    experiments    evaluation    next    conclusion  
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],   intro     wikipedia    experiments    evaluation    next    conclusion  
Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],   intro     wikipedia    experiments    evaluation    next    conclusion  
What’s a document about? ,[object Object],[object Object],[object Object],[object Object],[object Object],   intro     wikipedia    experiments    evaluation    next    conclusion  
Wikitology ! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],   intro      wikipedia     experiments    evaluation    next    conclusion  
Wikipedia Graph Structures ,[object Object],   intro      wikipedia     experiments    evaluation    next    conclusion   ,[object Object]
Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Spreading Activation ,[object Object],[object Object],   intro    wikipedia     experiments     evaluation    next    conclusion  
Spreading Activation Start with an initial set of activated nodes
Spreading Activation At each pulse/iteration, spread activation to adjacent nodes
Spreading Activation ,[object Object],[object Object],[object Object],[object Object],[object Object],Some nodes will have higher activation than others
Method 1 Query doc(s) similar to Cosine similarity Similar Wikipedia Articles Using Wikipedia Article Text and Categories to Predict Concepts 0.2 0.1 0.3 0.8 0.2 Input
Method 1 Query doc(s) similar to Cosine similarity Wikipedia Category Graph Similar Wikipedia Articles Using Wikipedia Article Text and Categories to Predict Concepts 0.2 0.1 0.3 0.8 0.2 Input
Method 1 Query doc(s) similar to ,[object Object],[object Object],[object Object],Cosine similarity Wikipedia Category Graph Similar Wikipedia Articles Using Wikipedia Article Text and Categories to Predict Concepts 0.2 0.1 0.3 0.8 0.2 0.9 3 Input Output
Method 2 Query doc(s) Similar to Cosine similarity Wikipedia Category Graph Using Spreading Activation on Category Links Graph to get Aggregated Concepts 0.2 0.1 0.3 0.8 0.2 Input Ranked Concepts based  on Final Activation Score Output Spreading Activation Input Function Output Function
[object Object],[object Object],[object Object]
Method 3  Query doc(s) Similar To Ranked Concepts based on Final Activation Score Spreading Activation Threshold :  Ignore Spreading Activation to articles with less than 0.4  Cosine similarity score Edge Weights : Cosine  similarity between linked articles Wikipedia Article Links Graph Using Spreading Activation on  Article Links  Graph Node Input Function Node Output Function Output Input
Prediction for Single Test Document Preliminary Experiments    intro    wikipedia    experiments     evaluation     next    conclusion   ,[object Object],[object Object],[object Object],More pulses -> More Generalized Concepts Test Document Title Method 1 Ranking Categories Directly  Method 2 Spreading Activation Pulses=2 Method 2 Spreading Activation Pulses=3 Weather Prediction of thunder storms (CNN) “ Weather_Hazards” “ Winds” “ Severe_weather_and_convection”  “ Weather_Hazards” “ Current_events” “ Types_of_cyclone” “ Meterology” “ Nature” “ Weather”
Test Document Titles in the Set: (Wikipedia Articles) Crop_rotation  Permaculture  Beneficial_insects Neem  Lady_Bird Principles_of_Organic_Agriculture Rhizobia Biointensive Inter­cropping Green_manure  Preliminary Experiments Prediction for Set of Test Documents    intro    wikipedia    experiments     evaluation     next    conclusion   Concept not in the Category Hierarchy Method 1 Ranking Categories Directly Method 2 (2 pulses) Spreading Activation on Category links Graph Method 3 (2 pulses) Spreading Activation on Article Links Graph Agriculture Sustainable_technologies Crops Agronomy Permaculture Skills Applied_sciences Land_management Food_industry Agriculture Organic_farming Sustainable_agriculture Organic_gardening Agriculture Companion_planting
Average Similarity Query doc(s) similar to Cosine similarity 0.9 0.5 0.7 0.8 0.2 0.5 + 0.9 + 0.7 + 0.2 + 0.8 5    intro    wikipedia    experiments     evaluation     next    conclusion   Evaluation ,[object Object],[object Object]
Evaluation ,[object Object],Antibiotics Medical Treatments Medicines Oxytetracyclin Tetracyclin 1st Observation Articles are linked often with super and sub categories both
Category Prediction Evaluation    intro    wikipedia    experiments     evaluation     next    conclusion   ,[object Object],[object Object],M1 Method 1 SA1 Spreading Activation pulse(s)= 1 SA2 Spreading Activation pulse(s)=2
Article Links Prediction Evaluation ,[object Object],[object Object],Similar Documents, N = 5 Spreading Activation pulses=1    intro    wikipedia    experiments     evaluation     next    conclusion  
Prediction Accuracy  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],   intro    wikipedia    experiments     evaluation     next    conclusion  
Potential Applications ,[object Object],[object Object],[object Object]
Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],   intro    wikipedia    experiments    evaluation     next     conclusion  
Document Expansion  with Wikipedia Derived Ontology Terms   * ,[object Object],[object Object],*  In Collaboration with Paul McNamee, John Hopkins University Applied Physics Laboratory Doc: FT921-4598  (3/9/92) ... Alan Turing, described as a brilliant mathematician and a key figure in the breaking of the Nazis' Enigma codes. Prof IJ Good says it is as well that British security was unaware of Turing's homosexuality, otherwise he might have been fired 'and we might have lost the war'. In 1950 Turing wrote the seminal paper 'Computing Machinery And Intelligence', but in 1954 killed himself ... Turing_machine, Turing_test, Church_Turing_thesis, Halting_problem, Computable_number, Bombe, Alan_Turing, Recusion_theory, Formal_methods,  Computational_models, Theory_of_computation, Theoretical_computer_science, Artificial_Intelligence
Conclusion ,[object Object],[object Object],[object Object],[object Object],   intro    wikipedia    experiments    evaluation    next     conclusion   
References ,[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you Questions and Suggestions?

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Wikipedia as an Ontology for Describing Documents

  • 1. Wikitology Wikipedia as an Ontology Zareen Syed, Tim Finin and Anupam Joshi zarsyed1@umbc.edu, finin@cs.umbc.edu, joshi@cs.umbc.edu University of Maryland Baltimore County
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  • 11. Spreading Activation Start with an initial set of activated nodes
  • 12. Spreading Activation At each pulse/iteration, spread activation to adjacent nodes
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  • 14. Method 1 Query doc(s) similar to Cosine similarity Similar Wikipedia Articles Using Wikipedia Article Text and Categories to Predict Concepts 0.2 0.1 0.3 0.8 0.2 Input
  • 15. Method 1 Query doc(s) similar to Cosine similarity Wikipedia Category Graph Similar Wikipedia Articles Using Wikipedia Article Text and Categories to Predict Concepts 0.2 0.1 0.3 0.8 0.2 Input
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  • 17. Method 2 Query doc(s) Similar to Cosine similarity Wikipedia Category Graph Using Spreading Activation on Category Links Graph to get Aggregated Concepts 0.2 0.1 0.3 0.8 0.2 Input Ranked Concepts based on Final Activation Score Output Spreading Activation Input Function Output Function
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  • 19. Method 3 Query doc(s) Similar To Ranked Concepts based on Final Activation Score Spreading Activation Threshold : Ignore Spreading Activation to articles with less than 0.4 Cosine similarity score Edge Weights : Cosine similarity between linked articles Wikipedia Article Links Graph Using Spreading Activation on Article Links Graph Node Input Function Node Output Function Output Input
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  • 21. Test Document Titles in the Set: (Wikipedia Articles) Crop_rotation Permaculture Beneficial_insects Neem Lady_Bird Principles_of_Organic_Agriculture Rhizobia Biointensive Inter­cropping Green_manure Preliminary Experiments Prediction for Set of Test Documents  intro  wikipedia  experiments  evaluation  next  conclusion  Concept not in the Category Hierarchy Method 1 Ranking Categories Directly Method 2 (2 pulses) Spreading Activation on Category links Graph Method 3 (2 pulses) Spreading Activation on Article Links Graph Agriculture Sustainable_technologies Crops Agronomy Permaculture Skills Applied_sciences Land_management Food_industry Agriculture Organic_farming Sustainable_agriculture Organic_gardening Agriculture Companion_planting
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  • 33. Thank you Questions and Suggestions?