Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28418
Title: On the Satisfiability Problem of Patterns in SPARQL 1.1
Authors: ZHANG, Xiaowang 
VAN DEN BUSSCHE, Jan 
Wang, Kewen
Wang, Zhe
Issue Date: 2018
Publisher: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE
Source: AAAI Publications, Thirty-Second AAAI Conference on Artificial Intelligence,p. 2054-2061
Abstract: The pattern satisfiability is a fundamental problem for SPARQL. This paper provides a complete analysis of decidability/undecidability of satisfiability problems for SPARQL 1.1 patterns. A surprising result is the undecidability of satisfiability for SPARQL 1.1 patterns when only AND and MINUS are expressible. Also, it is shown that any fragment of SPARQL 1.1 without expressing both AND and MINUS is decidable. These results provide a guideline for future SPARQL query language design and implementation.
Notes: Zhang, XW (reprint author), Tianjin Univ, Sch Comp Sci & Technol, Tianjin, Peoples R China. Tianjin Key Lab Cognit Comp & Applicat, Tianjin, Peoples R China.
Document URI: http://hdl.handle.net/1942/28418
Link to publication/dataset: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16590
ISBN: 9781577358008
ISI #: WOS:000485488902016
Category: C1
Type: Proceedings Paper
Validations: ecoom 2020
Appears in Collections:Research publications

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