<div class="csl-bib-body">
<div class="csl-entry">Merkl, T. C., Pichler, R., & Skritek, S. (2023). Diversity of Answers to Conjunctive Queries. In F. Geerts & B. Vandevoort (Eds.), <i>26th International Conference on Database Theory</i> (pp. 10:1-10:19). Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPICS.ICDT.2023.10</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192931
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dc.description.abstract
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.