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Building Linked Data from a social media topic

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Vasko Yordanov
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Matching engine Use case for Linked Data matching service for renewable energy facts and people
1) News extracted from a social network( or any other online medium)
News taken from a social network: .i.e “Linkedin” ( can be anyone)
 
2) First data extraction pass: Automated data mining applied to identify initial key entities: ,[object Object],[object Object],[object Object],[object Object]
3) Querying other online sources to build and aggregate “mashup of facts” –”seeding”
 
 
 
4) Second data extraction pass: Additional data mining applied from online sources to enrich the initial facts: ,[object Object],[object Object],[object Object],[object Object]
Build “derived data”
 
 
 
 
 
 
 
 
 
 
5) Analyze links and “derived data” to build matching profile/recommendation ,[object Object],[object Object],[object Object],[object Object]

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