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How Google is using Linked Data Today and Vision for Tomorrow. Presented By:- Thomas Steiner Raphael Troncy Michael Hausenblas Reviewed By:- Sudeep Malik sudeepma@usc.edu Professor :- Chris Mattmann. - PowerPoint PPT Presentation
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Presented By:- Thomas Steiner Raphael Troncy Michael Hausenblas
Reviewed By:- Sudeep Malik sudeepma@usc.eduProfessor :- Chris Mattmann
* How Google is using Linked Data Today and
Vision for Tomorrow
Introduction
*How Google make use of linked data for Displaying Rich Snippet.
* We will see an example .
* Then we give some thoughts how it can be extended in future.
* In the end we outline bottlenecks in current Internet which need to be fixed to make it work on web scale.
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How it fits in our course* These slides are related with the lecture of rich snippets
in our course which was the last lecture.
* You will see examples of how to embed RDFa, microformat in slides 10,16and 18.
* You can also see more examples of rich snippets in all our the course slides.
* This paper gives some insight how we can deploy rich snippets all over the web.
*Google Rich Snippet Formats and Support
* Google introduced Rich Snippets on May 12,2009.
* What is Rich Snippet? It is a small summary of the data that a user can expect to see on a page without loading the whole page.
* Formats Supported are:-a. RDFab. Microformatsc. Microdata
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*RDFa (Resource Description Framework):- It adds a set of attribute level extension to HTML,XHTML and XML for embedding rich metadata within a web document.
* Microformat:- It is reusing the existing HTML/XHTML tags to convey metadata and other attributes in web pages.
*Microdata :- It is a proposed feature of HTML5 intended to provide a simple way to embed a semantic markup into HTML documents.
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Rich Snippets Example
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How much of Semantic Markup is in use
*Some statistics regarding semantic markup on web in June 2010.
* They also observed a general confusion with what parts of a document should be marked up at all.
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Business Impact of Rich Snippets*How search results are displayed in snippets preview
involve a huge market.
*The overall tendency being an increasing number of impressions for Rich Snippets-enabled pages.
*It also result into higher click-through rate for pages with Rich Snippets.
*Example:- A sample of song so that user can make sure that he is looking for the same song.
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Tomorrow’s Rich Snippets in Search Engines*Suppose we are searching for a music concert , things we
would expect are comparative Rich Snippets as shown in next slide.
*Next step is to bring the social experience, granted the user has given access to his social graph.
Example: A user’s decision criteria whether or not attend an event is often dependent on whom of the user’s friends plan to attend the concert.
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Philipp Poisel Concert
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Video Snippet* A different class of extended Rich Snippets could be
based on multimedia semantics in order to provide richer video search result.
Example:-
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Vision of Extended Rich Snippet* Today’s Rich Snippets:- The content of snippet is exclusively determined by information in one particular Web page.
*Extended Rich Snippets:- The content of snippet will be from more than just one data Source. *For extended rich snippets we need to combine information
coming from various data sources for that we need an information sharing mechanism must be established.
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Content-Centric Networking* In content-centric networking there are two kind of
packages.1. Interest Package.2. Data package.
* Interests get broadcast by consumers and as soon as a node can satisfy an interest, it responds with the data. Otherwise it rebroadcasts the interest.
* A certain piece of information satisfies an interest if the content name in the interest package is a prefix of the content name in data packet.
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Triple-Centric Networking* This is derived from content-centric networking.* Packets after applying principle of content-centric to
Triple-centric.
*It is useful when many parties are interested in the same
content. Which is same case as with popular web pages.
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Addition of 7a Layer* Some have proposed to add new Layer between
application layer and presentation layer ,that aims to make sense of the data in such a way that it establishes interoperability between different applications.
* One of the potential bottlenecks of rolling out multi data sources rich snippets could be avoided by moving triple propagation to this new Triple-centric Networking Layer.
* It establish the links between the data providers and facilitate the work of search engines to make sense of data and present it in efficient way.
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Pros and Cons*Pros:-
1. Triple-centric networking is potential improvement to the host-to host networking infrastructure.
*Cons:-1. Code given in paper was not explained properly.2. Should have elaborated more about formats in Rich
Snippets.3. Triple-centric is in experimentation form so its not a
sure thing as of now.4. Addition of new layer doesn’t seem very promising.
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