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Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources : Semi-Automatic Approaches and Tools / by Domenico Ursino

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Computer Science | Lecture notes in computer science ; 2282Publisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2002Description: Online-RessourceISBN:
  • 9783540707356
  • 3540433473
Subject(s): Additional physical formats: 9783540433477 | Buchausg. u.d.T.: Extraction and exploitation of intensional knowledge from heterogeneous information sources. Berlin : Springer, 2002. XXVI, 289 S.MSC: MSC: *68U99 | 68P20RVK: RVK: SS 4800LOC classification:
  • QA76.9.D3
DOI: DOI: 10.1007/3-540-70735-2Online resources: Summary: This book is the first comprehensive approach to the construction and the management of cooperative information systems. From a set of input database schemes describing the information content of multiple sources, the techniques presented yield a structured, integrated and consistent description of the information content represented in a suitable data repository. The author builds his work on skilled and controlled use of results and methods from various fields of computer science, such as data mining, algorithmic learning, knowledge representation, database management, etc. The approach presented has been implemented in the prototype system DIKE, Database Intensional Knowledge Extractor, which has been studied in various application contextsPPN: PPN: 1649266553Package identifier: Produktsigel: ZDB-2-BAE | ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
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