Stegemann, Timo; Ziegler, Jürgen:
Pattern-based analysis of SPARQL queries from the LSQ dataset
In: ISWC 2017 Posters & Demonstrations and Industry Tracks : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks / Nikitina, Nadeschda; Song, Dezhao (Eds.). - Posters & Demonstrations and Industry Tracks at the International Semantic Web Conference (ISWC 2017), 23-25 October 2017, Vienna, Austria - Aachen: RWTH Aachen, 2017 - (CEUR Workshop Proceedings ; 1963)
2017book article/chapter in ProceedingsOA Gold
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science
Title in English:
Pattern-based analysis of SPARQL queries from the LSQ dataset
Author:
Stegemann, TimoUDE
LSF ID
53437
Other
connected with university
;Ziegler, JürgenUDE
GND
1015876811
LSF ID
3881
ORCID
0000-0001-9603-5272ORCID iD
Other
connected with university
Open Access?:
OA Gold
Scopus ID
85033465086
WWW URL:
http://ceur-ws.org/Vol-1963/paper542.pdf
Note:
OA platinum
Language of text:
English
Appears in
ISWC 2017 Posters & Demonstrations and Industry Tracks : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks
Conference
Posters & Demonstrations and Industry Tracks at the International Semantic Web Conference (ISWC 2017), 23-25 October 2017, Vienna, Austria
Editor:
Nikitina, Nadeschda;Song, Dezhao
Place of publication:
Aachen
Publisher:
RWTH Aachen
Year of publication:
2017
ISSN
1613-0073 Show availability online & print
URN
urn:nbn:de:0074-1963-7
ZDB ID
2632129-4
In Series
CEUR Workshop Proceedings
in:
Vol. 1963
Type of resource:
Text

Abstract:

This paper presents a pattern-based analysis of the Linked Sparql Queries dataset (Lsq). The analysis showed that from more than 630,000 unique Select queries stored in the dataset, 99% of them are represented by only 120 different query patterns.