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Searching for Common Sense: Populating Cyc from the Web

Searching for Common Sense: Populating Cyc from the Web. Presented by Yu-Chung Shen 2007/05/03. Introduction. In the last twenty years , over 3 million facts and rules have been entered manually in the Cyc knowledge base by ontologists. Shouldn’t there be a better way ?

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Searching for Common Sense: Populating Cyc from the Web

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  1. Searching for Common Sense: Populating Cyc from the Web Presented by Yu-Chung Shen 2007/05/03

  2. Introduction • In the last twenty years , over 3 million facts and rules have been entered manually in the Cyc knowledge base by ontologists. • Shouldn’t there be a better way ? • Automating the process of gathering and verifying facts from the World Wide Web.

  3. Knowledge acquisition from WWW • Gather information from the web preceeds in six stages • Choosing queries • Searching ( Google ) • Parsing results • KB consistency checking • Google verification • Reviewing and asserting

  4. Learning Cycle

  5. Choosing Queries and Generating Search Strings • Example : • Limited to a set of 134 binary predicates. • Generating search strings using templates.

  6. Parsing search results into CycL sentences • Example :

  7. Checking Cyc KB Consistency • Discard facts that are redundant or contradictory via inference. • Example : Fact : (foundingAgent PalestineIslamicJihad AugusteRodin) • Cyc know AugusteRodin died in 1917. • Cyc know PIJ was founded in 1989 . • The fact is contradictory . It will be discarded.

  8. Google Verification • Guard against parser error. • Example : New Fact : (foundingAgent PalestineIslamicJihad xasdawqeqw) Search string :PIJ founder xasdawqeqw

  9. Review and Assertion • Learned sentences are reviewed by a human curator. • If correct , assert learned sentences into Cyc knowledge base.

  10. Experimental Results • The majority of the searches expanded , about 80% were peformed in the verification phase. The results were as follows : (GAFs : Ground atomic formulas . Atomic sentences in Cyc KB. )

  11. Experimental Results • A human reviewer then went through the verified GAFs , and a sample of 53 of the unverified GAFs , and determined their actual correctness.

  12. Conclusions • The work being done here is immediately useful as a tool that makes human knowledge entry faster , easier , and more effective. • Hope to provide Cyc with a mechanism to truly acquire knowledge by learning. • Q&A ?

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