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Improving large-scale search engines with semantic annotations

✍ Scribed by Fuentes-Lorenzo, Damaris; Fernández, Norberto; Fisteus, Jesús A.; Sánchez, Luis

Book ID
120551503
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
711 KB
Volume
40
Category
Article
ISSN
0957-4174

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This paper describes Seeker, a platform for large-scale text analytics, and SemTag, an application written on the platform to perform automated semantic tagging of large corpora. We apply SemTag to a collection of approximately 264 million web pages, and generate approximately 434 million automatica