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Introducing the Calais Web service (4.0) ,[object Object],[object Object],[object Object],[object Object]
Why? Tagging text is costly and time-consuming ,[object Object],[object Object],[object Object],[object Object],Seconds Years Seconds Years Tweets Blogs News Scient. Pubs Great Novels Latency Shelf Life
Why?  What Calais can help you do
 ,[object Object],[object Object],[object Object],[object Object],[object Object]
How it works: ,[object Object],[object Object],[object Object]
<Acquisition offset=&quot;494&quot; length=&quot;130&quot;>    <Company_Acquirer>Reuters</Company_Acquirer>     <Company_Acquired>ClearForest Ltd.</Company_Acquired>     <Status>Planned</Status>  </Acquisition> <Company>Reuters</Company>  <Company>ClearForest Ltd.</Company>  Reuters Announced the Acquisition of ClearForest  New York - April 30, 2007 Reuters, the global information company, has entered into an agreement to acquire all of the outstanding shares of ClearForest Ltd., a privately held provider of Text Analytics solutions, whose tagging platform and analytical products allow clients to derive precise business information from huge amounts of textual content. ClearForest has received sufficient shareholder approval to complete the transaction, which is expected to close in approximately 30 days, subject to customary closing conditions. The financial terms were not disclosed. Reuters plans to retain and continue to work with the existing management team and their highly skilled workforces in the US and Israel. It also plans to continue to support existing products and customers. Reuters believes that search will be a pivotal element to the future of how financial information is sourced and consumed. As part of its drive into this space, Reuters has created a new strategic group and appointed  Gerry Campbell, who will oversee the integration of ClearForest and drive this innovation.   <Product>Text Analytic Solution </Product>   <Company>ClearForest Ltd.</Company>  <Company>Reuters</Company>  <Country>United States</Country>  <Country>Israel</Country>  <Company>Reuters</Company>  <Person>Gerry Campbell</Person>  <ManagementChange offset=&quot;2789&quot; length=&quot;92&quot;> <Person>Gerry Campbell</Person>  <Company>Reuters</Company>  <Action>Enters</Position>  </ManagementChange> Text markup by Calais <Topic>M&A</Topic>
NEW! NEW ! The Linked Data Cloud with new OpenCalais and Thomson Reuters information assets
Unstructured Text Calais extracts entities, facts and events Metadata returned to the user with keys Keys provide access to the Calais Linked Data cloud Which provides information and other Linked Data pointers To a range of open and partner Linked data assets, including Thomson Reuters 1 2 3 4 5 6 The Process
Quick online demo ,[object Object],[object Object],[object Object],[object Object],[object Object]
Calais progress to date ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What’s coming ,[object Object],[object Object],[object Object],[object Object],[object Object]
Sample Calais Applications
Example: The Mail & Guardian Online, South African Newspaper ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Using Calais to optimize search and navigation; drive consumer engagement
Example: Gist - today’s news filtered by people, places & events GIST uses Calais to prioritize stories, rank newsmakers & reveal trends / reader demand.  It automatically aggregates multiple news sources and slots them into topic.
Example: The Powerhouse Museum in Sydney Using Calais to tag historical archives & using tags as search terms

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Intro To The Calais Web Service @ OpenCalais.com

  • 2.
  • 3.
  • 4.
  • 5.
  • 6. <Acquisition offset=&quot;494&quot; length=&quot;130&quot;>   <Company_Acquirer>Reuters</Company_Acquirer>   <Company_Acquired>ClearForest Ltd.</Company_Acquired>   <Status>Planned</Status> </Acquisition> <Company>Reuters</Company> <Company>ClearForest Ltd.</Company> Reuters Announced the Acquisition of ClearForest New York - April 30, 2007 Reuters, the global information company, has entered into an agreement to acquire all of the outstanding shares of ClearForest Ltd., a privately held provider of Text Analytics solutions, whose tagging platform and analytical products allow clients to derive precise business information from huge amounts of textual content. ClearForest has received sufficient shareholder approval to complete the transaction, which is expected to close in approximately 30 days, subject to customary closing conditions. The financial terms were not disclosed. Reuters plans to retain and continue to work with the existing management team and their highly skilled workforces in the US and Israel. It also plans to continue to support existing products and customers. Reuters believes that search will be a pivotal element to the future of how financial information is sourced and consumed. As part of its drive into this space, Reuters has created a new strategic group and appointed Gerry Campbell, who will oversee the integration of ClearForest and drive this innovation. <Product>Text Analytic Solution </Product> <Company>ClearForest Ltd.</Company> <Company>Reuters</Company> <Country>United States</Country> <Country>Israel</Country> <Company>Reuters</Company> <Person>Gerry Campbell</Person> <ManagementChange offset=&quot;2789&quot; length=&quot;92&quot;> <Person>Gerry Campbell</Person> <Company>Reuters</Company> <Action>Enters</Position> </ManagementChange> Text markup by Calais <Topic>M&A</Topic>
  • 7. NEW! NEW ! The Linked Data Cloud with new OpenCalais and Thomson Reuters information assets
  • 8. Unstructured Text Calais extracts entities, facts and events Metadata returned to the user with keys Keys provide access to the Calais Linked Data cloud Which provides information and other Linked Data pointers To a range of open and partner Linked data assets, including Thomson Reuters 1 2 3 4 5 6 The Process
  • 9.
  • 10.
  • 11.
  • 13.
  • 14. Example: Gist - today’s news filtered by people, places & events GIST uses Calais to prioritize stories, rank newsmakers & reveal trends / reader demand. It automatically aggregates multiple news sources and slots them into topic.
  • 15. Example: The Powerhouse Museum in Sydney Using Calais to tag historical archives & using tags as search terms