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Ontology-Based Data Access Leveraging Subjective Reports

  • Gerardo I. Simari
  • Cristian Molinaro
  • Maria Vanina Martinez
  • Thomas Lukasiewicz
  • Livia Predoiu

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu
    Pages 1-21
  3. Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu
    Pages 23-41
  4. Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu
    Pages 43-65
  5. Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu
    Pages 67-77
  6. Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu
    Pages E1-E1

About this book

Introduction

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.

Keywords

Semantic web Knowledge engineering Computational objectivity Reasoning with preferences Reasoning under uncertainty Subjective reports

Authors and affiliations

  • Gerardo I. Simari
    • 1
  • Cristian Molinaro
    • 2
  • Maria Vanina Martinez
    • 3
  • Thomas Lukasiewicz
    • 4
  • Livia Predoiu
    • 5
  1. 1.Consejo Nacional de Investigaciones Cientificas y TecnicasUniversidad Nacional del SurBahia BlancaArgentina
  2. 2.DIMES DepartmentUniversità della CalabriaRendeItaly
  3. 3.Consejo Nacional de Investigaciones Cientificas y TecnicasUniversidad Nacional del SurBahia BlancaArgentina
  4. 4.Department of Computer ScienceUniversity of OxfordOxfordUnited Kingdom
  5. 5.Department of Computer ScienceUniversity of OxfordOxfordUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65229-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-65228-3
  • Online ISBN 978-3-319-65229-0
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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