Cover Image

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...

Full description

Main Authors: Zhang, Wei Emma. (Author, http://id.loc.gov/vocabulary/relators/aut), Sheng, Quan Z. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Data mining.
Information storage and retrieval.
Application software.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Online Access:https://doi.org/10.1007/978-3-319-94935-2
Table of Contents:
  • 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.

Similar Items