1. Result presentation

2. Search Interface Input and output functionality – helping the user to formulate complex queries – presenting the results in an intelligent manner Semantic Search brings improvements in – Query formulation – Snippet generation – Adaptive and interactive presentation Presentation adapts to the kind of query and results presented Object results can be actionable, e.g. buy this product – Aggregated search Grouping similar items, summarizing results in various ways Filtering (facets), possibly across different dimensions – Task completion Help the user to fulfill the task by placing the query in a task context

3. Query interpretation “Snap-to-grid”: find the most likely interpretation of the query given the ontology or a summary of the data – See Query Processing Display the system’s interpretation of the user query – Offer one or more interpretations, possibly while the user is typing

4. Example: Freebase suggestFreebase suggest

5. Example: TrueKnowledgeTrueKnowledge Q: “How many people live in Shanghai?” I: What is the population of Shanghai (Shanghainese: Zånhae), the metropolis in eastern China and a direct-controlled municipality of the People's Republic of China? A: The population of Shanghai on November 7th 2010 is approximately 19,300,389. (Extrapolated from a population of 18,884,600 in 2008 and a population of 19,210,000 on June 6th 2010.)

6. Snippet generation using metadata Yahoo displays enriched search results for pages that contain microformat or RDFa markup using recognized ontologies – Displaying data, images, video – Example: GoodRelations for products – Enhanced results also appear for sites from which we extract information ourselves Also used for generating facets that can be used to restrict search results by object type – Example: “Shopping sites” facet for products Documentation and validator for developers – http://developer.search.yahoo.com http://developer.search.yahoo.com Formerly: SearchMonkey allowed developers to customize the result presentation and create new ones for any object type

7. Example: Yahoo! Enhanced Results Enhanced result with deep links, rating, address.

8. Automated snippet summarization Generate search result snippets given a query and a search result Penin et al. Snippet Generation for Semantic Web Search Engines, ASWC 2010 – Search results are ontologies

9. Example: Facets in Yahoo! Search Click to restrict results to shopping sites

10. Example: Yahoo! Vertical Intent Search Related actors and movies

11. Adaptive presentation: semantic bookmarking Extract objects from pages tagged/bookmarked by a user Visualize the extracted objects – Tabular display – Sorting on attributes – Map Tracking changes in data – Alert me when the price drops below… Prototype: house search application – Delicious profiles – Extracting housing data from popular Spanish real-estate sites

12. Adaptive presentation: semantic bookmarking

13. Interactive presentation: Time Explorer Deliverable of the LivingKnowledge European Project – Not a Yahoo product – http://fbmya01.barcelonamedia.org:8080/future/ Won the HCIR 2010 challenge Tool for understanding current news stories – what are the events that led to a particular situation? – what are the important entities for a given topic? (people,places,dates, etc.) – what entities are important at a given time? How do their relationships change? – what are the predictions made of a given topic?

14. Interactive presentation: Time Explorer Technology – Named Entity Recognition (persons, organizations) – Temporal expression mining – Inverted (sentence and document) index – Forward index (archive) for retrieving relevant entities – Ranking of both documents and relevant entities Display – Two synchronized timelines showing relevant documents and the volume of documents – Entity relationships – Sentiments (future work)

15. Example: Time Explorer