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  • Titel: Diversity of Answers to Conjunctive Queries
  • Beteiligte: Merkl, Timo Camillo [Verfasser:in]; Pichler, Reinhard [Verfasser:in]; Skritek, Sebastian [Verfasser:in]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/LIPIcs.ICDT.2023.10
  • Schlagwörter: Query Answering ; Complexity ; Diversity of Solutions ; Algorithms
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  • Beschreibung: Enumeration problems aim at outputting, without repetition, the set of solutions to a given problem instance. However, outputting the entire solution set may be prohibitively expensive if it is too big. In this case, outputting a small, sufficiently diverse subset of the solutions would be preferable. This leads to the Diverse-version of the original enumeration problem, where the goal is to achieve a certain level d of diversity by selecting k solutions. In this paper, we look at the Diverse-version of the query answering problem for Conjunctive Queries and extensions thereof. That is, we study the problem if it is possible to achieve a certain level d of diversity by selecting k answers to the given query and, in the positive case, to actually compute such k answers.
  • Zugangsstatus: Freier Zugang