Graph Grammar Based RDF Benchmarking System

Simple item page
dc.contributor.authorXu, Jiaping
dc.contributor.supervisorThomo, Alex
dc.contributor.supervisorHoffman, Daniel
dc.date.accessioned2017-08-31T18:15:06Z
dc.date.available2017-08-31T18:15:06Z
dc.date.copyright2017en_US
dc.date.issued2017-08-31
dc.degree.departmentDepartment of Computer Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractIn this thesis, we propose a graph grammar based RDF (Resource Description Framework) benchmarking system. We generate the graphs based on two types of graph grammars, Generalized Node Replacement Recursive Graph Grammar (GNRR) and Generalized Edge Replacement Recursive Graph Grammar (GERR). We provide algorithms that generate the RDF database and queries from GNRR or GERR graph grammars of a certain domain. We perform two experiments to show the efficiency of our benchmarking system and provide benchmark results against Jena TDB 3.2 and Sesame 2.9.0.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/8518
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectRDFen_US
dc.subjectGraph Grammaren_US
dc.subjectBenchmarkingen_US
dc.titleGraph Grammar Based RDF Benchmarking Systemen_US
dc.typeprojecten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Xu_Jiaping_MSc_2017.pdf
Size:
1.25 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Graduate Projects (Computer Science)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.