Authors:
The first book on a rapidly developing area, providing a coherent and comprehensive overview of the state of the art
Details how entities can bridge the gap between unstructured and structured data for search
Shows how entity search can provide the basis for semantic search with rich and focused query responses
Part of the book series: The Information Retrieval Series (INRE, volume 39)
Buying options
Table of contents (10 chapters)
-
Front Matter
-
Entity Ranking
-
Front Matter
-
-
Bridging Text and Structure
-
Front Matter
-
-
Back Matter
About this book
Keywords
- Open Access
- Information retrieval
- Retrieval models and ranking
- Semantic search
- Web searching and information discovery
- Knowledge representation and reasoning
- Machine Learning
Authors and Affiliations
-
University of Stavanger, Stavanger, Norway
Krisztian Balog
About the author
Bibliographic Information
Book Title: Entity-Oriented Search
Authors: Krisztian Balog
Series Title: The Information Retrieval Series
DOI: https://doi.org/10.1007/978-3-319-93935-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and the Author(s) 2018
License: CC BY
Hardcover ISBN: 978-3-319-93933-9Published: 16 October 2018
Softcover ISBN: 978-3-030-06749-6Published: 20 December 2018
eBook ISBN: 978-3-319-93935-3Published: 02 October 2018
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 1
Number of Pages: XIX, 351
Number of Illustrations: 73 b/w illustrations, 13 illustrations in colour
Topics: Information Storage and Retrieval, Artificial Intelligence, Probability and Statistics in Computer Science, Computer and Information Systems Applications