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SUMMARY:Entity-Centric Data Management
DTSTART:20140620T140000
DTSTAMP:20260407T163946Z
UID:de5054622e542ae30a268ef2ca2b84ffbdd46530b42c99142a7bb412
CATEGORIES:Conferences - Seminars
DESCRIPTION:Philippe CUDRE-MAUROUX\, University of Fribourg\nUntil recentl
 y\, structured (e.g.\, relational) and unstructured (e.g.\, textual) data 
 were managed very differently: Structured data was queried declaratively u
 sing languages such as SQL\, while unstructured data was searched using bo
 olean queries over inverted indices. Today\, we witness the rapid emergenc
 e of entity-centric techniques to bridge the gap between different types o
 f content and manage both unstructured and structured data more effectivel
 y. I will start this talk by giving a few examples of entity-centric data 
 management. I will then describe two recent systems that were built in my 
 lab and revolve around entity-centric data management techniques: ZenCrowd
 \, a socio-technical platform that automatically connects HTML pages to se
 mi-structured entities\, and TripleProv\, a scalable\, efficient\, and pro
 venance-enabled back-end to manage graphs of entities.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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