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  • Book
  • Open Access
  • © 2018

Entity-Oriented Search

Authors:

  1. Krisztian Balog

    1. University of Stavanger, Stavanger, Norway

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  • 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)

Sections

Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)
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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xix
    PDF

  2. Introduction

    • Krisztian Balog
    Pages 1-23Open Access

  3. Meet the Data

    • Krisztian Balog
    Pages 25-53Open Access

  4. Entity Ranking

    1. Front Matter

      Pages 55-55
      PDF

    2. Term-Based Models for Entity Ranking

      • Krisztian Balog
      Pages 57-99Open Access

    3. Semantically Enriched Models for Entity Ranking

      • Krisztian Balog
      Pages 101-143Open Access

  5. Bridging Text and Structure

    1. Front Matter

      Pages 145-145
      PDF

    2. Entity Linking

      • Krisztian Balog
      Pages 147-188Open Access

    3. Populating Knowledge Bases

      • Krisztian Balog
      Pages 189-222Open Access

  6. Semantic Search

    1. Front Matter

      Pages 223-223
      PDF

    2. Understanding Information Needs

      • Krisztian Balog
      Pages 225-267Open Access

    3. Leveraging Entities in Document Retrieval

      • Krisztian Balog
      Pages 269-297Open Access

    4. Utilizing Entities for an Enhanced Search Experience

      • Krisztian Balog
      Pages 299-336Open Access

    5. Conclusions and Future Directions

      • Krisztian Balog
      Pages 337-348Open Access

  7. Back Matter

    Pages 349-351
    PDF
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About this book

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.
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Keywords

  • Open Access
  • Information retrieval
  • Retrieval models and ranking
  • Semantic search
  • Web searching and information discovery
  • Knowledge representation and reasoning
  • Machine Learning
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Authors and Affiliations

  • University of Stavanger, Stavanger, Norway

    Krisztian Balog

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About the author

Krisztian Balog is a full professor of Computer Science, heading the Information Access and Interaction (IAI) group at the Department of Electrical Engineering and Computer Science at the University of Stavanger. His general research interests lie in the use and development of information retrieval, information extraction, and machine learning techniques for intelligent information access tasks, and his current emphasis is on entity-oriented and semantic search, and novel evaluation methodologies. His work on entity retrieval has been very influential and has received numerous awards.
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Bibliographic Information

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Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)
Learn about institutional subscriptions