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)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Front Matter
-
Entity Ranking
-
Front Matter
-
-
Bridging Text and Structure
-
Front Matter
-
-
Back Matter
About this book
The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types andsources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research.
Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.
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
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, Information Systems Applications (incl. Internet)