Managing Data From Knowledge Bases: Querying and Extraction

In this book, the authors first address the research issues by providing a motivating scenario, followed by the exploration of the principles and techniques of the challenging topics. Then they solve the raised research issues by developing a series of methodologies. More specifically, the authors s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zhang, Wei Emma (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Sheng, Quan Z. (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1 Introduction
  • 2 Cache Based Optimization for Querying Curated Knowledge Bases
  • 3 Query Performance Prediction on Knowledge Base
  • 4 An Efficient Knowledge Clustering Algorithm
  • 5 Knowledge Extraction from Unstructured Data on the Web
  • 6 Building Knowledge Bases from Unstructured Data on the Web
  • 7 Conclusion.