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Linked Data: Eine Einführung in Theorie Und PRAXIS
Paperback
ApplicationsDatabasesProbability & Statistics
ISBN13: 9783658525040
Publisher: Springer Vieweg
Published: Feb 25 2027
Pages: 334
Language: German
«Linked Data - Eine Einführung in Theorie und Praxis bietet einen umfassenden Einstieg in ein Thema, zu dem es bislang kaum deutschsprachige Literatur gibt. Das Buch verbindet die theoretischen Grundlagen konsequent mit ihrer Anwendung und richtet sich an drei Zielgruppen: an Datenproduzent: innen und -nutzer: innen, die Linked Data praktisch einsetzen wollen, sowie an Entscheidungsträger: innen, die das Thema rasch überblicken möchten. Dank seines didaktischen Aufbaus ist es zugleich eine ideale Grundlage für Kurse und das Selbststudium.
Statt mit abstrakten Beispielen arbeitet das Buch durchgängig mit realen statistischen Daten. Diese Wahl ist bewusst getroffen: Statistische Daten werden in der öffentlichen Verwaltung, in privaten Unternehmen und in Forschungsinstitutionen genutzt, weshalb viele Menschen mit ihnen vertraut sind. Das macht sie zum idealen Ausgangspunkt für Linked Data und sichert die Nachvollziehbarkeit für die breite Zielgruppe. So lassen sich die Konzepte unmittelbar in den eigenen Arbeitsalltag übertragen.
Inhaltlich begleitet das Buch den gesamten Weg von der Modellierung über die Erstellung und Publikation bis zur Abfrage und Nutzung. Best Practices und praxisnahe Beispiele erleichtern die Anwendung. Ein konkreter Vergleich gängiger Werkzeuge von OpenRefine über den RML-Mapper bis zur Python-Bibliothek RDFLib hilft bei der Auswahl der passenden Lösung. Selbst die Integration in Alltagswerkzeuge wie Excel wird gezeigt. Besonderes Augenmerk liegt auf der Rolle von Standards bei der Verknüpfung von Daten: Sie steigern die Interoperabilität und damit den Wert der Daten. Eigene Relevanz gewinnt das Thema durch die künstliche Intelligenz: KI-Systeme tun sich mit Tabellenstrukturen schwer, können die explizit modellierten Zusammenhänge von Linked Data aber direkt verarbeiten. Das macht die Technologie zu einer zukunftsweisenden Grundlage für datengetriebene Anwendungen.
So leistet das Buch aus drei Gründen einen wesentlichen Beitrag zur Verbreitung von Linked Data: Erstens befähigt es Anwender: innen, die Technologie effektiv zu nutzen. Zweitens gibt es Entscheidungsträger: innen die Antworten, die sie für fundierte Entscheidungen brauchen. Und drittens deckt es als eine der wenigen Ressourcen den gesamten Lebenszyklus von Linked Data ab. Damit schliesst es im deutschsprachigen Raum eine bislang bestehende Lücke.
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