Name: Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources: Semi-Automatic Approaches and Tools
Brand: Springer Berlin Heidelberg
SKU: ID12554882
Availability: InStock

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

53.49 EUR 9% Off 59.00 EUR

Dieses Buch führt in die semi‑automatische Erfassung von intensionalem Wissen aus heterogenen Quellen ein, erklärt adaptive Algorithmen zur Strukturierung und zeigt praxisnahe Implementierungen für Wissensdatenbanken.

Marke: Springer Berlin Heidelberg

MPN: 1

ISBN: 3540433473

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Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources, Fachbücher von Domenico Ursino

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Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources: Semi-Automatic Approaches and Tools (Lecture Notes in Computer Science, 2282, Band 2282)

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

Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources, Fachbücher von Domenico Ursino

Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources: Semi-Automatic Approaches and Tools (Lecture Notes in Computer Science, 2282, Band 2282)

Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

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

Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources, Fachbücher von Domenico Ursino

Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources: Semi-Automatic Approaches and Tools (Lecture Notes in Computer Science, 2282, Band 2282)

Gesponsert Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

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