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: Ontology-Based Data Access Leveraging Subjective Reports
  name:
    name part: Simari, Gerardo I.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Molinaro, Cristian.
    role:
      role term: author.
  name:
    name part: Vanina Martinez, Maria.
    role:
      role term: author.
  name:
    name part: Lukasiewicz, Thomas.
    role:
      role term: author.
  name:
    name part: Predoiu, Livia.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 77 p. 32 illus., 14 illus. in color. online resource.
  abstract: 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: 1 Ontology-Based Data Access with Datalog+/- -- 2 Models for Representing User Preferences -- 3 Subjective Data: Model and Query Answering -- 4 Related Research Lines.
  note: by Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Communications Engineering, Networks
  classification: QA75.5-76.95
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9783319652290
  identifier: http://dx.doi.org/10.1007/978-3-319-65229-0
  record info:
    record creation date: 170922
    record change date: 20170922185734.0
    record identifier: 978-3-319-65229-0