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A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data [chapter]

Danh Le-Phuoc, Minh Dao-Tran, Josiane Xavier Parreira, Manfred Hauswirth
2011 Lecture Notes in Computer Science  
CQELS provides a flexible query execution framework with the query processor dynamically adapting to the changes in the input data.  ...  To remedy these drawbacks, we present CQELS (Continuous Query Evaluation over Linked Streams), a native and adaptive query processor for unified query processing over Linked Stream Data and Linked Data  ...  They all extend SPARQL with sliding window operators for RDF stream processing.  ... 
doi:10.1007/978-3-642-25073-6_24 fatcat:aigyxefq6zhcbkxhru3srp7m5u

On Correctness in RDF Stream Processor Benchmarking [chapter]

Daniele Dell'Aglio, Jean-Paul Calbimonte, Marco Balduini, Oscar Corcho, Emanuele Della Valle
2013 Lecture Notes in Computer Science  
Two complementary benchmarks have been proposed so far for the evaluation and continuous improvement of RDF stream processors: SRBench and LSBench.  ...  In this paper, we propose a characterization of the operational semantics of RDF stream processors, adapting well-known models used in the stream processing engine community: CQL and SECRET.  ...  RDF Stream Processor Characterization Most RDF stream engines, including C-SPARQL, CQELS or SPARQL stream , provide a processing model that can be described through the three main abstract operators defined  ... 
doi:10.1007/978-3-642-41338-4_21 fatcat:a3ho37gydncabe6n5fumm42uom

C-SPARQL Extension for Sampling RDF Graphs Streams [chapter]

Amadou Fall Dia, Zakia Kazi-Aoul, Aliou Boly, Yousra Chabchoub
2017 Studies in Computational Intelligence  
Several RDF Stream Processing (RSP) systems have been proposed. Existing RSP systems benefit from the advantages of semantic web technologies and traditional data flow management systems.  ...  C-SPARQL, CQELS, SPARQL stream , EP-SPARQL, and Sparkwave extend the semantic query language SPARQL and are examples of those systems.  ...  This project aims to design and develop a distributed processing platform of massive data streams. The case study concerns the real-time monitoring of a drinking water distribution network.  ... 
doi:10.1007/978-3-319-65406-5_2 fatcat:xczc7p3tpneqlbpyejm54y4kca

Linked Stream Data Processing Engines: Facts and Figures [chapter]

Danh Le-Phuoc, Minh Dao-Tran, Minh-Duc Pham, Peter Boncz, Thomas Eiter, Michael Fink
2012 Lecture Notes in Computer Science  
Linked Stream Data, i.e., the RDF data model extended for representing stream data generated from sensors social network applications, is gaining popularity.  ...  For reasonable systematic evaluations, in this work we propose a novel, customizable evaluation framework and a corresponding methodology for realistic data generation, system testing, and result analysis  ...  For examples, E can be CQELS, CSPARQL, or EP-SPARQL 1 for testing LSD engines, where the static data is a set of RDF graphs, each S i is a Link Data stream, i.e., a sequence of RDF triples, and the output  ... 
doi:10.1007/978-3-642-35173-0_20 fatcat:qpyhwmna5bg63o77zc3xn6xr7i

SRBench: A Streaming RDF/SPARQL Benchmark [chapter]

Ying Zhang, Pham Minh Duc, Oscar Corcho, Jean-Paul Calbimonte
2012 Lecture Notes in Computer Science  
We introduce SRBench, a general-purpose benchmark primarily designed for streaming RDF/SPARQL engines, completely based on real-world data sets from the Linked Open Data cloud.  ...  Finally, our work is complemented with a functional evaluation on three representative strRS engines: SPARQL Stream , C-SPARQL and CQELS.  ...  We would like to give special thanks to Phuoc-Danh Le for his help on using CQELS.  ... 
doi:10.1007/978-3-642-35176-1_40 fatcat:c7zidnqpcncgrauitykudfkb24

Torpedo: Improving the State-of-the-Art RDF Dataset Slicing

Edgard Marx, Saeedeh Shekarpour, Tommaso Soru, Adrian M. P. Brasoveanu, Muhammad Saleem, Ciro Baron, Albert Weichselbraun, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Soren Auer
2017 2017 IEEE 11th International Conference on Semantic Computing (ICSC)  
In this paper, we introduce Torpedo, an approach for efficiently selecting and extracting relevant subsets from RDF datasets.  ...  We compare the performance of our approach with existing solutions on nine different queries against four datasets.  ...  TABLE VII COMPARING VII OTHER RDF STREAM ENGINES IN SLICING DBPEDIA USING QUERY 1 (Q1).TABLE VIII COMPARING THE TIME FOR PROCESSING 20,000 STREAMED TRIPLES BETWEEN TORPEDO AND CQELS.  ... 
doi:10.1109/icsc.2017.79 dblp:conf/semco/MarxSSBSBWLNA17 fatcat:n7uge6mhurfelbnymoiw2dizee

Efficient Temporal Reasoning on Streams of Events with DOTR [chapter]

Alessandro Margara, Gianpaolo Cugola, Dario Collavini, Daniele Dell'Aglio
2018 Lecture Notes in Computer Science  
Many ICT applications need to make sense of large volumes of streaming data to detect situations of interest and enable timely reactions.  ...  We demonstrate the expressiveness of our model through various examples and benchmarks, and we show that DOTR outperforms state-of-the-art SR tools, processing data with millisecond latency.  ...  the RDF format for stream elements [18, 12] .  ... 
doi:10.1007/978-3-319-93417-4_25 fatcat:jbg774rbyvb7rmd2say6uie34y

Elastic and Scalable Processing of Linked Stream Data in the Cloud [chapter]

Danh Le-Phuoc, Hoan Nguyen Mau Quoc, Chan Le Van, Manfred Hauswirth
2013 Lecture Notes in Computer Science  
It enables the integration and joint processing of heterogeneous stream data with quasi-static data from the Linked Data Cloud in near-real-time.  ...  elasticity in a real deployment.  ...  Integrating these information streams with other sources will enable a vast range of new "near-real-time" applications.  ... 
doi:10.1007/978-3-642-41335-3_18 fatcat:w4ogqbov6ffctm3lp6hrsdfwja

On measuring performances of C-SPARQL and CQELS [article]

Xiangnan Ren and Houda Khrouf and Zakia Kazi-Aoul and Yousra Chabchoub and Olivier Curé
2016 arXiv   pre-print
To cope with the massive growth of semantic data streams, several RDF Stream Processing (RSP) engines have been implemented.  ...  More precisely, we evaluate the impact of stream rate, number of streams and window size on execution time as well as on memory consumption.  ...  This is a key component of RDF (Resource Description Framework) Stream Processing, henceforth denoted as RSP.  ... 
arXiv:1611.08269v1 fatcat:p5mgtspoyvbkrjfsr5b53u3cya

Taming velocity and variety simultaneously in big data with stream reasoning

Emanuele Della Valle, Daniele Dell'Aglio, Alessandro Margara
2016 Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems - DEBS '16  
challenges and the opportunities for future research.  ...  On the other hand, the event and stream processing community has focused on the velocity of data, producing systems that efficiently operate on streams of data on-the-fly according to pre-deployed processing  ...  In [50] a framework is proposed for dealing with inconsistencies, noisy data, and probabilistic processing rules in RDF data streams and Linked Data.  ... 
doi:10.1145/2933267.2933539 dblp:conf/debs/ValleDM16 fatcat:v4x3iozocfhqrndy2tvct3dygm

RSP-QL Semantics

Daniele Dell'Aglio, Emanuele Della Valle, Jean-Paul Calbimonte, Oscar Corcho
2014 International Journal on Semantic Web and Information Systems (IJSWIS)  
In the last years data and query languages have been proposed to extend both RDF and SPARQL for streams and continuous processing, under the name of RDF Stream Processing -RSP.  ...  While they have been shown to be useful and applicable in many scenarios, they are not sufficiently adequate for dealing with streams of data and their intrinsic continuous nature.  ...  Moreover, and beyond previous works, we have introduced the notion of instantaneous graphs, which help bridging the static RDF world with the RDF stream world for query processing.  ... 
doi:10.4018/ijswis.2014100102 fatcat:lq3gz7j7bze57plqohe6s6sg34

An Adaptive Framework for RDF Stream Processing [chapter]

Qiong Li, Xiaowang Zhang, Zhiyong Feng
2017 Lecture Notes in Computer Science  
In this paper, we propose a novel framework for RDF stream processing named PRSP.  ...  Within this framework, the evaluation of C-SPARQL queries on RDF streams can be reduced to the evaluation of SPARQL queries on RDF graphs. We prove that the reduction is sound and complete.  ...  A framework for RDF stream processing In this section, we introduce PRSP, an adaptive framework for processing RDF stream.  ... 
doi:10.1007/978-3-319-63579-8_33 fatcat:cdktyyc4mfdinhhub4r4bkrx3q

Streaming the Web: Reasoning Over Dynamic Data

Alessandro Margara, Jacopo Urbani, Frank van Harmelen, Henri Bal
2014 Social Science Research Network  
In the last few years a new research area, called stream reasoning, emerged to bridge the gap between reasoning and stream processing.  ...  In other words, fresh information is constantly made available in the form of streams of new data and updates.  ...  A similar approach is proposed in [110] , where the authors present the StreamRule framework, which combines an engine for stream processing and filtering (implemented using CQELS) and a non-monotonic  ... 
doi:10.2139/ssrn.3199091 fatcat:5xit5vvie5aztidgyl7hxawb7a

Streaming the Web: Reasoning over dynamic data

Alessandro Margara, Jacopo Urbani, Frank van Harmelen, Henri Bal
2014 Journal of Web Semantics  
In the last few years a new research area, called stream reasoning, emerged to bridge the gap between reasoning and stream processing.  ...  In other words, fresh information is constantly made available in the form of streams of new data and updates.  ...  A similar approach is proposed in [110] , where the authors present the StreamRule framework, which combines an engine for stream processing and filtering (implemented using CQELS) and a non-monotonic  ... 
doi:10.1016/j.websem.2014.02.001 fatcat:lxuiqe2s2vetdoais5maohwp7q

A Scalable Adaptive Method for Complex Reasoning Over Semantic Data Streams [chapter]

Thu-Le Pham
2015 Lecture Notes in Computer Science  
At its core, this requires a solution which combines advantages of both stream processing and reasoning research areas, and has flexible heuristics for adaptation of the stream reasoning processes in order  ...  Current stream processing solutions can handle streams of data to timely produce new results but they lack the complex reasoning capacities that are required to go from data to actionable knowledge.  ...  We plan to use RDF stream query processing engines such as C-SPARQL [2] , CQELS [10] . -Non-monotonic reasoning is used for computationally intensive tasks.  ... 
doi:10.1007/978-3-319-18818-8_48 fatcat:6kmbh4q3qzhhhatj5kpd5pjqzy
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