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Ontology Learning: State of the Art and Open Issues ( Lina Zhou)

Ontology Learning: State of the Art and Open Issues ( Lina Zhou). Jacob Kalakal Joseph CS 586 (Fall 2011) | Class Presentation | Oct 10, 2011. Outline. Motivation Proposed Solution Challenges. The problem with computers!. I love Tintin. The solution – Ontology development.

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Ontology Learning: State of the Art and Open Issues ( Lina Zhou)

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  1. Ontology Learning: State of the Art and Open Issues(Lina Zhou) Jacob Kalakal Joseph CS 586 (Fall 2011) | Class Presentation | Oct 10, 2011

  2. Outline Motivation Proposed Solution Challenges CS586-Joseph

  3. The problem with computers! I love Tintin CS586-Joseph

  4. The solution – Ontology development CS586-Joseph

  5. Bottleneck of Ontology Acquisition CS586-Joseph

  6. Bottleneck of Ontology Acquisition • Explosive growth of WWW • SMEs and Ontology Engineers are scarce • Manual ontology development is labor-intensive and time-consuming • Human biases and inconsistencies CS586-Joseph

  7. …the proposed solution OntologyLearning CS586-Joseph

  8. ROD CS586-Joseph

  9. Ontology Learning CS586-Joseph

  10. Ontology Organization Merging synonyms Deriving inverse relations Concept Islands CS586-Joseph

  11. Ontology Learning Approaches CS586-Joseph

  12. Ontology Learning Algorithm CS586-Joseph

  13. Learning strategies X Domains CS586-Joseph

  14. Open Issues… Human understandable vs. Machine understandable (bridging the gap) Learning Specific relations (IS-A, Part-Whole) Learning Higher-degree relations (1-2-3) Learning new definitions Term filtering (cut down the noise early) CS586-Joseph

  15. …Open Issues Mapping to high-level ontology (bootstrapping, seeding) (automatic) Evaluation benchmark Incremental Ontology Learning (reuse) Levels of Ontology Learning (Dell-Notebook debate) Multi-agent Learning (team-work) Learning Beyond Text CS586-Joseph

  16. Group Discussion CS586-Joseph

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