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In this scenario, the encyclopedia Wikipedia contains a huge amount of data, which may represent the best digital approximation of human knowledge. Recent efforts, most notably DB PEDIA [23], F REEBASE [8], YAGO [21], and W IKIDATA [31], attempt to extract semi-structured data from Wikipedia in order to build KBs that are proven useful for a variety of applications, such as question answering, entity summarization and entity linking (EL), just to name a few. The idea has not only attracted a continuously rising commitment of research communities, but has also become a substantial focus of the largest Web companies. As an anecdotal yet remarkable proof, Google acquired Freebase in 2010, 1 embedded it in its K NOWLEDGE G RAPH , 2 and has lately opted to shut it down to the public. 3 Currently, it is foreseen that Freebase data will eventually migrate to Wikidata 4 via the primary sources tool, 5 which aims at standardizing the flow for data donations.
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2019-11-10T12:34:11+01:00
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