Mixed Materials

Optimizing RDF Stream Processing for Uncertainty Management

Bibliographic Details
Title: Optimizing RDF Stream Processing for Uncertainty Management
Authors: Keskisärkkä, Robin, Blomqvist, Eva, Hartig, Olaf
Publisher Information: Linköpings universitet, Interaktiva och kognitiva system Linköpings universitet, Tekniska fakulteten Linköpings universitet, Databas och informationsteknik 2021
Document Type: Mixed materials
Abstract: RDF Stream Processing (RSP) has been proposed as a way of bridging the gap between the Complex Event Processing (CEP) paradigm and the Semantic Web standards. Uncertainty has been recognized as a critical aspect in CEP, but it has received little attention within the context of RSP. In this paper, we investigate the impact of different RSP optimization strategies for uncertainty management. The paper describes (1) an extension of the RSP-QL* data model to capture bind expressions, filter expressions, and uncertainty functions; (2) optimization techniques related to lazy variables and caching of uncertainty functions, and a heuristic for reordering uncertainty filters in query plans; and (3) an evaluation of these strategies in a prototype implementation. The results show that using a lazy variable mechanism for uncertainty functions can improve query execution performance by orders of magnitude while introducing negligible overhead. The results also show that caching uncertainty function results can improve performance under most conditions, but that maintaining this cache can potentially add overhead to the overall query execution process. Finally, the effect of the proposed heuristic on query execution performance was shown to depend on multiple factors, including the selectivity of uncertainty filters, the size of intermediate results, and the cost associated with the evaluation of the uncertainty functions.
This paper has won the Best Paper Award in the conference.
Index Terms: RSP; CEP; Uncertainty, RSP-QL, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text
DOI: 10.3233.SSW210039
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-179364
Studies on the Semantic Web, 1868-1158
Further with Knowledge Graph, p. 118-132
Availability: Open access content. Open access content
info:eu-repo/semantics/openAccess
Note: application/pdf
English
Other Numbers: UPE oai:DiVA.org:liu-179364
0000-0003-0644-4051
0000-0003-0036-6662
0000-0002-1741-2090
urn:isbn:978-1-64368-200-6
urn:isbn:978-1-64368-201-3
doi:10.3233/SSW210039
ISI:001180124100009
1428239669
Contributing Source: UPPSALA UNIV LIBR
From OAIster®, provided by the OCLC Cooperative.
Accession Number: edsoai.on1428239669
Database: OAIster
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