NDLI: User-Configurable Semantic Data Stream Reasoning Using SPARQL Update

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User-Configurable Semantic Data Stream Reasoning Using SPARQL Update

Content Provider	Springer Nature Link
Author	Nuutila, Esko Rinne, Mikko
Copyright Year	2017
Abstract	Stream reasoning is one of the building blocks giving semantic web an advantage in the race for the real-time web. This paper demonstrates implementation of materialisation-based reasoning using an event processor supporting networks of specification-compliant SPARQL Update rules. Collections of rules coded in SPARQL leave the rule implementation exposed for selection and modification by the platform user using the same query language for both the queries and entailment rules. Observations on the differences of SPARQL and rule semantics are made. The entailment-category tests of the SPARQL 1.1 conformance test set are thoroughly reviewed. New rules are constructed to improve platform pass rate, and the test results are measured. An event-based memory handling solution to the accumulation of data in stream processing scenarios through separation of static data (e.g. the ontology) from dynamic event data is presented and tested. This implementation extends the reasoning support available in an RDF stream processor from RDF(S) to $$\rho \hbox {df}$$ , D*, P-entailment and OWL 2 RL. The performance of the Instans platform is measured using a well-known benchmark requiring reasoning, comparing complete sets of entailment rules against the necessary subset to complete each test. Performance is also compared to non-streaming SPARQL query processors with reasoning support.
Starting Page	125
Ending Page	138
Page Count	14
File Format	PDF
ISSN	18612032
Journal	Journal on Data Semantics
Volume Number	6
Issue Number	3
e-ISSN	18612040
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2017-02-20
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Information Systems Applications (incl.Internet) SPARQL Database Management Information Storage and Retrieval Artificial Intelligence (incl. Robotics) Stream reasoning Rule networks IT in Business Entailment
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Information Systems

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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