1. 6/2/2015 1 CycL Semantic Annotation Dave Schneider April 2005

2. 6/2/2015 2 CycL as Deep Semantic Representation OpenCyc (47K concepts and taxonomy, free for any use) – Growing closer to Cyc’s 130K+ Concepts – Inference Engine designed for use with very large ontology – Higher-order Logical Representation – Download at opencyc.org ResearchCyc (free for research purposes) – OpenCyc concepts – Axioms inter-relating concepts – Lexical Mappings – Most contents in First-Order Logic

3. 6/2/2015 3 He will probably be extradited to the U.S. for trial under an extradition treaty President Virgilia Barco has revived. Extradition001: Extradition (objectOfControlTranser Extradition001 JoseAbelloSilva) (fromOrganization Extradition-001 Colombia) (toOrganization Extradition-001 UnitedStatesOfAmerica) (dateOfEvent Extradition001 Date002) (likelihoodOfEvent Extradition001 Likely) Date002: Date (startsAfterEndingOf Date002 PublicationDate-Indexical)

4. 6/2/2015 4 He will probably be extradited to the U.S. for trial under an extradition treaty President Virgilia Barco has revived. (cont) Revival-001: RevivingAnAgreement (isa Revival-001 RevivingAnAgreement) (objectOfStateChange Revival-001 Treaty-001) (performedBy Revival-001 VirgiliaBarco) Date003: Date (dateOfEvent Revival-001 Date003) (temporallyPrecedes Date003 PublicationDate-Indexical) Treaty-001: Treaty (topicOfPCW Treaty-001 Extradition) (agreementAllows Treaty-001 UnitedStatesOfAmerica (SubcollectionOfWithRelationToFn Extradition fromOrganization Colombia)) (agreeingAgents Treaty-001 UnitedStatesOfAmerica) (agreeingAgents Treaty-001 Colombia)

5. 6/2/2015 5 Partial Annotation Strategies Deep Entity Typing Entity Identification (reference resolution to actual individuals) Events and Roles Temporal Expressions and their relation to events Can be projected onto existing annotation standards

6. 6/2/2015 6 CycL Annotation Current Annotation Status – Small amount of newswire and English questions for tool development Expected Uses – Automated Reasoning (for use just about anywhere) – Machine Translation interlingua and/or for consistency checking – Information Extraction Much deeper entity and relation types – Question Answering Understand questions and documents for automated reasoning Sanity checking, etc. – Word Sense Disambiguation – Summarization Full Annotation provides semantic document content