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Semantic Information Management

Semantic Information Management

David G. Schwartz, Zvi Schreiber
Copyright: © 2005 |Pages: 8
ISBN13: 9781591405603|ISBN10: 1591405602|EISBN13: 9781591407959
DOI: 10.4018/978-1-59140-560-3.ch098
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MLA

Schwartz, David G., and Zvi Schreiber. "Semantic Information Management." Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, et al., IGI Global, 2005, pp. 593-600. https://doi.org/10.4018/978-1-59140-560-3.ch098

APA

Schwartz, D. G. & Schreiber, Z. (2005). Semantic Information Management. In L. Rivero, J. Doorn, & V. Ferraggine (Eds.), Encyclopedia of Database Technologies and Applications (pp. 593-600). IGI Global. https://doi.org/10.4018/978-1-59140-560-3.ch098

Chicago

Schwartz, David G., and Zvi Schreiber. "Semantic Information Management." In Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, Jorge Horacio Doorn, and Viviana E. Ferraggine, 593-600. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-560-3.ch098

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Abstract

The need to manage enterprise data has been coming into increasingly sharp focus for some time. Years ago, data sat in silos attached to specific applications. Then came the network, with data becoming available across applications, departments, subsidiaries, and enterprises. Throughout these developments, one underlying problem has remained unsolved: Data resides in thousands of incompatible formats and cannot be systematically managed, integrated, unified, or cleansed.

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