Conference
RDF Stream Processing: Let's React
| Τίτλος: | RDF Stream Processing: Let's React |
|---|---|
| Συγγραφείς: | Calbimonte, Jean-Paul |
| Έτος έκδοσης: | 2014 |
| Συλλογή: | Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience |
| Θεματικοί όροι: | RDF streams, stream reasoning, stream processing |
| Περιγραφή: | Stream processing has recently gained a prominent role in Computer Science research. From networks or databases to information theory or programming languages, a lot of work has been dedicated to conceive ways of representing, transmitting, processing and understanding infinite sequences of data. Nevertheless, there are still aspects that need time to reach a mature state. In particular, heterogeneity in stream data management and event processing is both a challenging topic and a key enabler for the rising Web of Things, where smart devices continuously sense properties of the surrounding world. Different proposals on RDF and Linked Data streams have shown promising results for managing this type of data, while keeping explicit semantics on the data streams, and linking them to other datasets in a web-friendly way. With time, these efforts led to the emergence of initiatives such as the RDF Stream Processing (RSP) W3C community group, aiming at specifying a base RDF stream model and query language for that model. Although these works produced interest results in defining overarching model definitions, there are still multiple orthogonal challenges that need to be addressed. In this work we identify some of these challenges, and we link them to the characteristics of what are nowadays called reactive systems. This paradigm includes natively supporting event-driven asynchronous message passing, non-blocking data communication and processing through all layers, and on-demand flexible scalability. We argue that RDF stream systems, combined with reactive techniques can lead to powerful, resilient and interoperable systems at Web scale. ; LSIR ; Invited paper |
| Τύπος εγγράφου: | conference object |
| Γλώσσα: | unknown |
| Relation: | https://infoscience.epfl.ch/record/203582/files/invited_paper_1.pdf; Proceedings of the 3rd International Workshop on Ordering and Reasoning; CEUR-WS; Vol-1303; 3rd International Workshop on Ordering and Reasoning at ISWC 2014; https://infoscience.epfl.ch/handle/20.500.14299/109107 |
| Διαθεσιμότητα: | https://infoscience.epfl.ch/handle/20.500.14299/109107 https://hdl.handle.net/20.500.14299/109107 |
| Αριθμός Καταχώρησης: | edsbas.7340A77E |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://infoscience.epfl.ch/handle/20.500.14299/109107# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: RDF Stream Processing: Let's React – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Calbimonte%2C+Jean-Paul%22">Calbimonte, Jean-Paul</searchLink> – Name: DatePubCY Label: Publication Year Group: Date Data: 2014 – Name: Subset Label: Collection Group: HoldingsInfo Data: Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22RDF+streams%22">RDF streams</searchLink><br /><searchLink fieldCode="DE" term="%22stream+reasoning%22">stream reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22stream+processing%22">stream processing</searchLink> – Name: Abstract Label: Description Group: Ab Data: Stream processing has recently gained a prominent role in Computer Science research. From networks or databases to information theory or programming languages, a lot of work has been dedicated to conceive ways of representing, transmitting, processing and understanding infinite sequences of data. Nevertheless, there are still aspects that need time to reach a mature state. In particular, heterogeneity in stream data management and event processing is both a challenging topic and a key enabler for the rising Web of Things, where smart devices continuously sense properties of the surrounding world. Different proposals on RDF and Linked Data streams have shown promising results for managing this type of data, while keeping explicit semantics on the data streams, and linking them to other datasets in a web-friendly way. With time, these efforts led to the emergence of initiatives such as the RDF Stream Processing (RSP) W3C community group, aiming at specifying a base RDF stream model and query language for that model. Although these works produced interest results in defining overarching model definitions, there are still multiple orthogonal challenges that need to be addressed. In this work we identify some of these challenges, and we link them to the characteristics of what are nowadays called reactive systems. This paradigm includes natively supporting event-driven asynchronous message passing, non-blocking data communication and processing through all layers, and on-demand flexible scalability. We argue that RDF stream systems, combined with reactive techniques can lead to powerful, resilient and interoperable systems at Web scale. ; LSIR ; Invited paper – Name: TypeDocument Label: Document Type Group: TypDoc Data: conference object – Name: Language Label: Language Group: Lang Data: unknown – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://infoscience.epfl.ch/record/203582/files/invited_paper_1.pdf; Proceedings of the 3rd International Workshop on Ordering and Reasoning; CEUR-WS; Vol-1303; 3rd International Workshop on Ordering and Reasoning at ISWC 2014; https://infoscience.epfl.ch/handle/20.500.14299/109107 – Name: URL Label: Availability Group: URL Data: https://infoscience.epfl.ch/handle/20.500.14299/109107<br />https://hdl.handle.net/20.500.14299/109107 – Name: AN Label: Accession Number Group: ID Data: edsbas.7340A77E |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.7340A77E |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: unknown Subjects: – SubjectFull: RDF streams Type: general – SubjectFull: stream reasoning Type: general – SubjectFull: stream processing Type: general Titles: – TitleFull: RDF Stream Processing: Let's React Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Calbimonte, Jean-Paul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2014 Identifiers: – Type: issn-locals Value: edsbas |
| ResultId | 1 |