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DBpedia: A Nucleus for a Web of Open Data
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Research on extracting relational facts from text corpora has led to the emergence of large knowledge bases, such as DBpedia, YAGO, Freebase, and Wolfram Alpha.
“There has also been research on extracting relational facts (e.g., Barack Obama is the president of the USA) from text corpora, which has led to the emergence of large knowledge bases, such as DBpedia 19 [Auer et al. 2007], YAGO 20 [Suchanek et al. 2007] as well as commercial ones, such as Freebase 21 [Bollacker et al. 2007] and Wolfram Alpha 22 .”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Auer et al. 2007
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Why and Where: A Characterization of Data Provenance
Buneman, P., Khanna, S., & Wang-Chiew, T. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44503-x_20 · Cited by 1,334
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Research works printed but not linked: 15
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- Auer, S., Lehmann, J.: What have innsbruck and leipzig in common? extracting semantics from wiki content. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 503–517. Springer, Heidelberg (2007) · DOI
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Metadata
- Authors
- Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., & Ives, Z.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007
- Pages
- 722-735
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 2,454
- References
- 1
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