Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34442
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZHANG, Xiaowang-
dc.contributor.authorVAN DEN BUSSCHE, Jan-
dc.contributor.authorWang, Kewen-
dc.contributor.authorZhang, Heng-
dc.contributor.authorYang, Xuanxing-
dc.contributor.authorFeng, Zhiyong-
dc.date.accessioned2021-07-14T08:06:16Z-
dc.date.available2021-07-14T08:06:16Z-
dc.date.issued2020-
dc.date.submitted2021-07-02T11:07:59Z-
dc.identifier.citationProceedings of the AAAI Conference on Artificial Intelligence, 34(3), p. 3057 -3064-
dc.identifier.isbn9781577358350-
dc.identifier.issn2374-3468-
dc.identifier.issn2159-5399-
dc.identifier.urihttp://hdl.handle.net/1942/34442-
dc.description.abstractAs a major query type in SPARQL, ASK queries are boolean queries and have found applications in several domains such as semantic SPARQL optimization. This paper is a first systematic study of the relative expressive power of various fragments of ASK queries in SPARQL. Among many new results, a surprising one is that the operator UNION is redundant for ASK queries. The results in this paper as a whole paint a rich picture for the expressivity of fragments of ASK queries with the four basic operators of SPARQL 1.0 possibly together with a negation. The work in this paper provides a guideline for future SPARQL query optimization and implementation.-
dc.language.isoen-
dc.publisherAAAI Press-
dc.relation.ispartofseriesAAAI Conference on Artificial Intelligence-
dc.titleOn the Expressivity of ASK Queries in SPARQL-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateFebruary 7–12, 2020-
local.bibliographicCitation.conferencenameThirty-Fourth AAAI Conference on Artificial Intelligence; Thirty-Second Conference on Innovative Applications of Artificial Intelligence; The Tenth Symposium on Educational Advances in Artificial Intelligence-
local.bibliographicCitation.conferenceplaceNew York Hilton Midtown, New York, New York, USA-
dc.identifier.epage3064-
dc.identifier.spage3057-
local.bibliographicCitation.jcatC1-
local.publisher.placePalo Alto, California USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr34-
dc.identifier.doi10.1609/aaai.v34i03.5700-
dc.identifier.isiWOS:000667722803016-
local.provider.typeCrossRef-
local.bibliographicCitation.btitleTHIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.validationecoom 2022-
item.fullcitationZHANG, Xiaowang; VAN DEN BUSSCHE, Jan; Wang, Kewen; Zhang, Heng; Yang, Xuanxing & Feng, Zhiyong (2020) On the Expressivity of ASK Queries in SPARQL. In: Proceedings of the AAAI Conference on Artificial Intelligence, 34(3), p. 3057 -3064.-
item.contributorZHANG, Xiaowang-
item.contributorVAN DEN BUSSCHE, Jan-
item.contributorWang, Kewen-
item.contributorZhang, Heng-
item.contributorYang, Xuanxing-
item.contributorFeng, Zhiyong-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
5700-Article Text-8925-1-10-20200513.pdfPublished version515.11 kBAdobe PDFView/Open
Show simple item record

Page view(s)

20
checked on Jul 6, 2022

Download(s)

6
checked on Jul 6, 2022

Google ScholarTM

Check

Altmetric


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