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https://hdl.handle.net/10955/5474
Title: | Dyadic TGDs - A new paradigm for ontological query answering |
Authors: | Marte, Cinzia Greco, Gianluigi Manna, Marco Guerriero, Francesca Leone, Nicola |
Keywords: | Ontological Query Answering Database query languages Datalog Tuple Generating Dependencies Complexity |
Issue Date: | 11-Mar-2022 |
Publisher: | Università della Calabria |
Series/Report no.: | INF/01; |
Abstract: | Ontology-BasedQueryAnswering(OBQA)consistsinqueryingdata– bases bytakingontologicalknowledgeintoaccount.Wefocusona logical frameworkbasedonexistentialrulesor tuple generatingdepen- dencies (TGDs), alsoknownasDatalog±, whichcollectsthebasicde- cidable classesofTGDs,andgeneralizesseveralontologyspecification languages. While thereexistlotsofdifferentclassesintheliterature,inmost cases eachofthemrequiresthedevelopmentofaspecificsolverand, only rarely,thedefinitionofanewclassallowstheuseofexisting systems. Thisgapbetweenthenumberofexistentparadigmsandthe numberofdevelopedtools,promptedustodefineacombinationof Shy and Ward (twowell-knownclassesthatenjoygoodcomputational properties)withtheaimofexploitingthetooldevelopedfor Shy. Nevertheless,studyinghowtomergethesetwoclasses,wehavereal- ized thatitwouldbepossibletodefine,inamoregeneralway,the combinationofexistingclasses,inordertomakethemostofexisting systems. Hence, inthiswork,startingfromtheanalysisofthetwoaforemen- tioned existingclasses,wedefineamoregeneralclass,named Dyadic TGDs, thatallowstoextendinauniformandelegantwayallthede- cidable classes,whileusingtheexistentrelatedsystems.Atthesame time, wedefinealsoacombinationof Shy and Ward, named Ward+, and weshowthatitcanbeseenasaDyadicsetofTGDs. Finally,tosupportthetheoreticalpartofthethesis,weimplementa BCQ evaluationalgorithmfortheclass Ward+, thattakesadvantage of anexistingsolverdevelopedfor Shy. |
Description: | Dottorato di Ricerca in Matematica e Informatica . Ciclo XXXIII |
URI: | https://hdl.handle.net/10955/5474 https://doi.org/10.13126/unical.it/dottorati/5474 |
Appears in Collections: | Dipartimento di Matematica e Informatica - Tesi di Dottorato |
Files in This Item:
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tesi Marte.pdf | 2,04 MB | Adobe PDF | View/Open |
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