DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing

Almeida, Vitor Pinheiro de; Bhowmik, Sukanya; Lima, Guilherme F.; Endler, Markus; Rothermel, Kurt

doi:10.1109/bigdata50022.2020.9377877

Cited by 7 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With this in mind, and with the goal of approximating the current RSP engines to the processing model of Semantic CEP, we propose DSCEP [23]: a software infrastructure for decentralized semantic complex event processing. The DSCEP infrastructure allows the encapsulation of RSP engines into CEPlike operators and permits these operators to be interconnected in a distributed, decentralized operator network.…”

Section: Research Questions and Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Dscep: An Infrastructure for Decentralized Semantic Complex Event Processing

ALMEIDA¹

View full text Add to dashboard Cite

Today most applications continuously produce information under the form of streams, due to the advent of the means of collecting data. Sensors and social networks collect an immense variety and volume of data, from di erent real-life situations and at a considerable velocity. Increasingly, applications require processing of heterogeneous data streams from di erent sources together with large background knowledge. To use only the information on the data stream is not enough for many use cases. Semantic Complex Event Processing (CEP) systems have evolved from the classical rule-based CEP systems, by integrating high-level knowledge representation and RDF stream processing using both the data stream and background static knowledge. Additionally, CEP approaches lack the capability to semantically interpret and analyze data, which Semantic CEP (SCEP) attempts to address. SCEP has several limitations; one of them is related to their high processing time. This paper provides a conceptual model and an implementation of an infrastructure for distributed SCEP, where each SCEP operator can process part of the data and send it to other SCEP operators in order to achieves some answer. We show that by splitting the RDF stream processing and the background knowledge using the concept of SCEP operators, it's possible to considerably reduce processing time.

show abstract

Section: Research Questions and Contributionsmentioning

confidence: 99%

“…There is no uniform standard to follow in order to design a RSP engine. Current standards apply to RDF data exchange and are produced by the Semantic Web's community 23 . RSP engines normally benefit with that by being able to use these standards, but so far, there are only few adoptions.…”

Section: Limitations Of Current Rsp Enginesmentioning

confidence: 99%