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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
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DTSTART:20181028T030000
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DTSTART:20180325T020000
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UID:calendar.13506.field_data.0@www.glad.uniroma1.it
DTSTAMP:20260409T101502Z
CREATED:20180725T200802Z
DESCRIPTION:In recent years there has been a proliferation of free and comm
 ercial 'knowledge graphs' (KGs)\, which represent real-world entities toge
 ther with their semantic relationships in a graphical form. Those are beco
 ming a powerful asset both for tech giants\, as well as for startups and r
 esearchers that are focusing on AI applications (semantic search\, data an
 alytics\, recommender systems\, etc.). The talk will introduce the largest
  KGs publicly available on the Web such as Wikidata\, Freebase\, YAGO and 
 DBpedia\, providing an overview of the many knowledge-based applications t
 hat can be enabled from them. BioMatteo Cannaviccio completed his PhD from
  the Department of Computer Engineering at Roma Tre University in April 20
 18\, under the supervision of prof. Paolo Merialdo. His research interests
  are in the areas of Information Extraction and Natural Language Processin
 g\, and he focused on exploring knowledge extraction techniques from Web t
 exts and tables. He is currently collaborating with Diffbot and DBpedia NL
 P department to extend knowledge extraction from Wikipedia article texts a
 nd his tool\, LectorPlus\, won the first edition of the DBpedia TextExt Ch
 allenge. 
DTSTART;TZID=Europe/Paris:20180727T160000
DTEND;TZID=Europe/Paris:20180727T160000
LAST-MODIFIED:20191008T082902Z
LOCATION:Room B203\, DIAG\, via Ariosto 25\, Roma
SUMMARY:From Information to Knowledge: an overview of public available Know
 ledge Graphs - Matteo Cannaviccio
URL;TYPE=URI:http://www.glad.uniroma1.it/node/13506
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