Analyzing real-world SPARQL queries in the light of probabilistic data


Schönfisch, Jörg ; Stuckenschmidt, Heiner



URL: http://ceur-ws.org/Vol-1665/paper2.pdf
Additional URL: http://publications.wim.uni-mannheim.de/informatik...
Document Type: Conference or workshop publication
Year of publication: 2016
Book title: URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 1665
Page range: 13-23
Conference title: 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016)
Location of the conference venue: Kobe, Japan
Date of the conference: 17.-18.October 2016
Author/Publisher of the book
(only the first ones mentioned)
:
Bobillo, Fernando
Place of publication: Aachen
Publishing house: RWTH
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Keywords (English): safeness of probabilistic queries , SPARQL , probabilistic data , linked data
Abstract: Handling uncertain knowledge – like information extracted from unstructured text, with some probability of being correct – is crucial for modeling many real world domains. Ontologies and ontology-based data access (OBDA) have proven to be versatile methods to capture this knowledge. Multiple systems for OBDA have been developed and there is theoretical work towards probabilistic OBDA, namely identifying efficiently processable (safe) queries. However, there is no analysis on the safeness of probabilistic queries in real-world applications, or in other words the feasibility of fulfilling users’ information needs over probabilistic data. In this paper we investigate queries collected from several public SPARQL endpoints and determine the distribution of safe and unsafe queries. This analysis shows that many queries in practice are safe, making probabilistic OBDA feasible and practical to fulfill real-world users’ information needs.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Schönfisch, Jörg ; Stuckenschmidt, Heiner ORCID: 0000-0002-0209-3859 Analyzing real-world SPARQL queries in the light of probabilistic data. Bobillo, Fernando CEUR Workshop Proceedings 1665 13-23 In: URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016 (2016) Aachen 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) (Kobe, Japan) [Conference or workshop publication]


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