Please use this identifier to cite or link to this item: 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:
File Description SizeFormat 
tesi Marte.pdf2,04 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.