1. Semantic Web Queries by Mark Vickers Funded by NSF

2. 2 Introduction Web Queries  Traditional Web Uses keyword matching Returns superfluous information  Semantic Web Uses semantic matching Returns only pertinent information

3. 3 Background What is the Semantic Web?  Provides machines “understandable” data  Provides answers rather than pages  Ontologies provide foundation for understanding “A shared, explicitly defined, generic conceptualization” [Gruber 93]

4. 4 Extraction Ontology Value Expression: \s*[$]\s*(\d{1,3})*(\.\d{2})? Key Words: Price, Cost, Fare Left Context: Price, Cost, Fare Right Context: Purchase, Book, Buy Exception Expression: *\.\d{3,*} Lexicon File: none Data Frame:

5. 5 Find the Ontology “Tell me about cruises on San Francisco Bay. I’d like to know scheduled times, cost, and the duration of cruises on Friday of next week.”

6. 6 Find the Ontology “Tell me about cruises on San Francisco Bay. I’d like to know scheduled times, cost, and the duration of cruises on Friday of next week.”

7. 7 Formulate Query Friday, Oct. 29th cost duration Selection Constants San Francisco Bay scheduled times Projection Join Path = Result   ()

8. 8 StartTimePriceDurationSource 10:45 am, 12:00 pm, 1:15, 2:30, 4:00$20.00, $16.00, $12.00 1 10:00 am, 10:45 am, 11:15 am, 12:00 pm, 12:30 pm, 1:15 pm, 1:45 pm, 2:30 pm, 3:00 pm, 3:45 pm, 4:15 pm, 5:00 pm $17.00, $16.00, $12.00 1 Hour 2

9. 9 Contributions English Web queries without NLP Web queries based on semantics Returning answers rather than pages Semantic Web application