rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introduction to Information Retrieval and Quantum Mechanics
  name:
    name part: Melucci, Massimo.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    edition: 1st ed. 2015.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 232 p. online resource.
  abstract: This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined further in subsequent chapters. Next, chapter 2 briefly explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement. Chapter 3 then reviews the research conducted at the intersection between information retrieval and the quantum mechanical framework. The chapter is subdivided into a number of topics, and each description ends with a section suggesting the most important reference resources. Lastly, chapter 4 offers suggestions for future research, briefly outlining the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems. This book is especially intended for researchers working in information retrieval, database systems and machine learning who want to acquire a clear picture of the potential offered by the quantum mechanical framework in their own research area. Above all, the book offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of the quantum mechanical framework to address various foundational issues in information retrieval.
  table of contents: Elements of Information Retrieval -- Elements of Quantum Mechanics -- Quantum Mechanics and Information Retrieval -- Future Work -- Other Topics of Quantum Mechanics -- Index.
  note: by Massimo Melucci.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical statistics
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Quantum computers
  subject:
    topic: Spintronics
  subject:
    topic: Computer Science
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Quantum Computing
  subject:
    topic: Quantum Information Technology, Spintronics
  classification: QA75.5-76.95
  classification: 025.04
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: The Information Retrieval Series, 35
  identifier: 9783662483138
  identifier: http://dx.doi.org/10.1007/978-3-662-48313-8
  record info:
    record creation date: 151208
    record change date: 20151208123928.0
    record identifier: 978-3-662-48313-8