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Result presentation

Result presentation. 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

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Result presentation

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  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 suggest

  5. Example: TrueKnowledge 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 • 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

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