Semantic Information Management

David G. Schwartz; Zvi Schreiber

doi:10.4018/978-1-59140-560-3.ch098

Semantic Information Management

David G. Schwartz, Zvi Schreiber

School of Business Administration

Unicorn Solutions, Inc.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Encyclopedia of Database Technologies and Applications
Publisher	IGI Global
Pages	593-600
Number of pages	8
ISBN (Electronic)	9781591407959
ISBN (Print)	1591405602, 9781591405603
DOIs	https://doi.org/10.4018/978-1-59140-560-3.ch098
State	Published - 1 Jan 2005

Bibliographical note

Publisher Copyright:
© 2006 by Idea Group Inc. All rights reserved.

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10.4018/978-1-59140-560-3.ch098

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Semantic Information Management

Abstract

Bibliographical note

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