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Harness meaning for better search results

Approaches to semantic search Address somewhat different problems Reasoning engines Natural language understanding Ontology search/ expansion Contextual analysis

Semantic Web? People are inconsistent People are lazy People are creative People are innovative People lie People are competitive

Language is dynamic Jabberwocky Effect Humpty Dumpty Syndrome Making up new words Using old words in new ways blog Twitter

Strike Bank Words are ambiguous

How ambiguous? Look it up! The companies have agreed to a brief delay in implementing their agreement. 37 14 39 17 54 62 20 8 84 8 7 9 7,788,584,618,680,320 possible interpretations Each word disambiguates the others # definitions

A dog A pet Man’s best friend Rescuer Resident of Colorado An animal Service animal How many ways can you categorize Chester? Tan things A living thing Things with hair Tail wagger Mutt Donny’s dog Mammal

Do people ask interesting questions?

No ontology, taxonomy, or thesaurus needed

Blah blah blah court blah blah blah lawyer blah blah blah blah bailiff blah blah blah blah blah. Blah blah court blah blah blah basketball blah blah blah blah blah blah freethrow blah blah blah blah. Model word use patterns from documents Legal context Sport context

Japanese women’s blogs (the context)

Semantic Search Example Search for: 化粧 Makeup

Context for 化粧 化粧 Makeup 肌 Skin 美 Beauty 美容 Beauty of figure or form ケア Care dhc Brand of skin care products スキン Skin キレイ Pretty 始め Origin 口コミ Word of mouth 通販 Mail order

Expand query to give context 化粧 化粧 , 美容 , 肌 , 美 , ケア , dhc , スキン , キレイ , 始め , 口コミ , 通販 Query as entered Query as searched Terms are weighted by language model

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