1. Searching the Semantic Web

2. Introduction  Research Focuses: IE Ontologies (creating, languages, merging, storing, querying)  Next Sep: Using the Semantic Web How will we use pages for useful tasks? How will we build Semantic Web Services?

3.  Example: Traveler wants to know: Cruises in San Francisco Bay  Company Name  Price  Location  Schedule How will a Searching Service provide that information? Introduction

4. Thesis Statement (revised for ppt)  Take Next Logical Step In Semantic Web  Build Searching Service Use Google as search engine Assume:  Most (if not all) pages are annotated with OWL  Primary Objects are known  Service Has a Global Ontology

5. Outline  1. Semantic Querying  2. Crawling  3. Indexing  4. Returning Results

6. 1. Semantic Querying  How do you know what the user meant? How do you distinguish the subject? Extremes: SQL queries  Accept anything  RDF = (Subject, Predicate, Object)  User provides desired subject, and objects (attributes)

8. 2. Crawling  Google’s Googlebot does real crawling  We look at results from normal Google search  How to find matches on annotated pages?

9. 2. Crawling

10. 3. Indexing  Index on Records Given from Crawling  Ideas: Fully Filled Records First Closeness of Concept Match  Measure by distance from referenced ontology mapping to user words mapping in Global Ontology

11. 4. Returning Results  Returns Dynamic Page of Records: Name: Price: Location: Schedule: http://www.sourcepage.com  Records may be ordered according to chosen attribute Angel Island Tiburon-Ferry $8.00 21 Main Street Hourly

12. Contributions  Enhance the ability to access information on the Web  Step closer to machine understanding  Building block for Semantic Web Services  Past research put to use