SpringerBriefs in Computer Science

Ontology-Based Data Access Leveraging Subjective Reports

Authors: Simari, G.I., Molinaro, C., Vanina Martinez, M., Lukasiewicz, Th., Predoiu, L.

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About this book

This SpringerBrief  reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others.

Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b

e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity.

Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools.  Practitioners also  interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and  researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.

Table of contents (4 chapters)

  • Ontology-Based Data Access with Datalog+/−

    Simari, Gerardo I. (et al.)

    Pages 1-21

  • Models for Representing User Preferences

    Simari, Gerardo I. (et al.)

    Pages 23-41

  • Subjective Data: Model and Query Answering

    Simari, Gerardo I. (et al.)

    Pages 43-65

  • Related Research Lines

    Simari, Gerardo I. (et al.)

    Pages 67-77

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-65229-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-65228-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Ontology-Based Data Access Leveraging Subjective Reports
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-65229-0
DOI
10.1007/978-3-319-65229-0
Softcover ISBN
978-3-319-65228-3
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VIII, 77
Number of Illustrations and Tables
18 b/w illustrations, 14 illustrations in colour
Topics