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PAPyA: Performance Analysis of Large RDF Graphs Processing Made Easy [article]

Mohamed Ragab, Adam Satria Adidarma, Riccardo Tommasini
2022 arXiv   pre-print
In practice, when processing large (RDF) graphs on top of relational BD systems, several design decisions emerge and cannot be decided automatically, e.g., the choice of the schema, the partitioning technique  ...  PAPyA simplifies the performance analytics of BD systems for processing large (RDF) graphs.We provide PAPyA as a public open-source library under an MIT license that will be a catalyst for designing new  ...  For instance, the RSPLab provides a test-drive for stream reasoning engines that can be deployed on the cloud.  ... 
arXiv:2209.06877v1 fatcat:ec6et544ebc4dhobtssp2kt3dm

Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data Streams

Pieter Bonte, Riccardo Tommasini, Emanuele Della Valle, Filip De Turck, Femke Ongenae
2018 Sensors  
Therefore, we introduce Streaming MASSIF, a Cascading Reasoning approach performing expressive reasoning and complex event processing over high velocity streams.  ...  We show that Streaming MASSIF is able to handle high velocity streams up to hundreds of events per second, in combination with expressive reasoning and complex event processing.  ...  RDF Stream Processing RDF Stream Processing (RSP) [3] is an extension of IFP that can cope with heterogeneous data streams by exploiting semantic technologies.  ... 
doi:10.3390/s18113832 pmid:30413104 fatcat:hot546e3yjbxxkgwvxc4qnzxay

Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams

Matthias T. Frank
The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams.  ...  As RSPLab is primarily a benchmarking approach for semantic stream processing, no other observed criteria besides the semantic annotation is addressed by the authors.  ...  For processing of RDF streams, Tommasini et al.  ... 
doi:10.5445/ksp/1000128146 fatcat:j3sggullv5eopm2jbpgrbblnnq


JSAI Technical Report, Type 2 SIG  
Benchmarking made easy  概要: 既存の RDF Streaming Processingベンチマーク(LSBenchと CityBench)とRSPエンジン(C-SPARQLとCQELS)を統合した ツール  報告者の感想: これくらいしっかり作って、公開すれば「作りました」論文でも通ると いうことですね  著者:Riccardo Tommasini, Emanuele  ...  RE 人工知能学会第二種研究会資料 SIG-SWO-044-13 Strider: A Hybrid Adaptive Distributed RDF Stream Processing Engine Xiangnan Ren and Olivier Curé RDF データストリームを industryレベルの 感じで作れましたよ,というもの 耐故障性やスケーラビリティなどを持つ Querying  ... 
doi:10.11517/jsaisigtwo.2018.swo-044_13 fatcat:gty56yeyefcjlad4pfarzqe7yu