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Table of contents

  1. Front Matter
    Pages i-xix
  2. Krisztian Balog
    Pages 1-23 Open Access
  3. Krisztian Balog
    Pages 25-53 Open Access
  4. Entity Ranking

    1. Front Matter
      Pages 55-55
    2. Krisztian Balog
      Pages 57-99 Open Access
    3. Krisztian Balog
      Pages 101-143 Open Access
  5. Bridging Text and Structure

    1. Front Matter
      Pages 145-145
    2. Krisztian Balog
      Pages 147-188 Open Access
    3. Krisztian Balog
      Pages 189-222 Open Access
  6. Semantic Search

    1. Front Matter
      Pages 223-223
    2. Krisztian Balog
      Pages 225-267 Open Access
    3. Krisztian Balog
      Pages 269-297 Open Access
    4. Krisztian Balog
      Pages 299-336 Open Access
    5. Krisztian Balog
      Pages 337-348 Open Access
  7. Back Matter
    Pages 349-351

About this book

Introduction

This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the 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 and sources 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.

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

  • Krisztian Balog
    • 1
  1. 1.University of StavangerStavangerNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-93935-3
  • Copyright Information The Editor(s) (if applicable) and the Author(s) 2018
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-93933-9
  • Online ISBN 978-3-319-93935-3
  • Series Print ISSN 1387-5264
  • Buy this book on publisher's site
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