Search (6 results, page 1 of 1)

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Content

Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.

LCSH

Data mining
Data Mining and Knowledge Discovery

RSWK

Data Mining

Subject

Data Mining
Data mining
Data Mining and Knowledge Discovery

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LCSH

Data mining
Data Mining and Knowledge Discovery

RSWK

Semantic Web / Metadatenmodell / Data Mining / Ontologie <Wissensverarbeitung> / Kongress / Pusan <2007> (BVB)

Subject

Data mining
Data Mining and Knowledge Discovery
Semantic Web / Metadatenmodell / Data Mining / Ontologie <Wissensverarbeitung> / Kongress / Pusan <2007> (BVB)

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LCSH

Data mining

Subject

Data mining

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LCSH

Data mining

Subject

Data mining

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Content

Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining

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Abstract

In seinem Klassiker erläutert der international führende Mathematiker und Physiker, Sir Roger Penrose, seine These, dass die geistigen Fähigkeiten des menschlichen Gehirns nicht durch Berechnungen von Elektronengehirnen erreicht werden können - und provozierte eine neue KI-Debatte. . . . des Kaisers neue Kleider - steht auf dem Buchumschlag. Der renommierte englische Physiker Penrose will damit sichtbar machen, daß die Vertreter der Künstlichen Intelligenz (KI) nackt dastehen. Mit einem 400 Seiten langen Exkurs versucht er, ihre Behauptung zu widerlegen, daß Maschinen ebenso intelligent sein können wie Menschen. bild der wissenschaft Roger Penrose ( . . . ) gelang das Kunststück, mit dem formelgespickten Wälzer "The Emperors's New Mind" (auf deutsch jetzt unter dem geistlosen Titel "Computerdenken" erschienen) auf den US-Bestsellerlisten zu landen, ungeachtet aller Quanten-Ket-Vektoren und Einsteinscher Krüümungstensoren, mit denen der Autor seine Leser plagt. DER SPIEGEL Das erklärte Ziel dieses Buches ist, den Standpunkt einiger KI-Enthusiasten zu widerlegen, daß Computer irgendwann all das können, was menschliche Gehirne können - und sogar mehr. Aber der Leser merkt bald, dass Pnerose vor allem das Ziel verfolgt, einen Wegzur großen Synthese von klassischer Physik, Quantenphysik und Neurowissenschaften aufzuzeigen. John Horgan in Scientific American Wer "Computerdenken" liest (oder durcharbeitet), sollte nicht auf Antwort hoffen, darf aber neue Sichtwiesen und überraschende Interpretationen erwarten. Ein nahrhaftes Geschenk für naturwissenschaftlich Interessierte. Die Zeit Trotz des mathematichen Themas wurde The Emperor's New Mind prompt ein Bestseller und sein Autor zum bestgehaßten Mann der KI-Szene ( . . . ).