Merkl, T. C., Pichler, R., & Skritek, S. (2025). Diversity of Answers to Conjunctive Queries. Logical Methods in Computer Science, 21(1), Article 9. https://doi.org/10.46298/lmcs-21(1:9)2025
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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Journal:
Logical Methods in Computer Science
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ISSN:
1860-5974
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Date (published):
28-Jan-2025
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Number of Pages:
35
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Publisher:
LOGICAL METHODS COMPUTER SCIENCE E V
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Peer reviewed:
Yes
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Keywords:
Algorithms; Complexity; Diversity of Solutions; Query Answering
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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.
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Project title:
Decompose and Conquer: Fast Query Processing via Decomposition: ICT22-011 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds)