Data Mining and Reverse Engineering | Searching for semantics. IFIP TC2 WG2.6 IFIP Seventh Conference on Database Semantics (DS-7) 7-10 October 1997, Leysin, Switzerland

Stefano Spaccapietra (u. a.)

ISBN 10: 1475749104 / ISBN 13: 9781475749106

Published by Springer Nature B.V., 2013

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Data Mining and Reverse Engineering | Searching for semantics. IFIP TC2 WG2.6 IFIP Seventh Conference on Database Semantics (DS-7) 7-10 October 1997, Leysin, Switzerland | Stefano Spaccapietra (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2013 | Springer Nature B.V. | EAN 9781475749106 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu.

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Bibliographic Details

• Title: Data Mining and Reverse Engineering | Searching for semantics. IFIP TC2 WG2.6 IFIP Seventh Conference on Database Semantics (DS-7) 7-10 October 1997, Leysin, Switzerland
• Publisher: Springer Nature B.V.
• Publication Date: 2013
• Language: English
• ISBN 10: 1475749104
• ISBN 13: 9781475749106
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 28D millimeters 235 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 779 grams
• Seller catalogs:
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Synopsis

Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon­ strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod­ ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in­ corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.