Reference Hub

This research has been cited in:

Chapter
VoCaLS: Vocabulary and Catalog of Linked StreamsThe Semantic Web – ISWC 201810.1007/978-3-030-00668-6_16
Article
A United Framework for Large-Scale Resource Description Framework Stream ProcessingJournal of Computer Science and Technology10.1007/s11390-019-1941-9
Chapter
A Query Model for Ontology-Based Event Processing over RDF StreamsKnowledge Engineering and Knowledge Management10.1007/978-3-030-03667-6_28
Article
Querying industrial stream-temporal data: An ontology-based visual approach1Journal of Ambient Intelligence and Smart Environments10.3233/AIS-160415
Chapter
RSP-QL $$^{\star }\!$$ : Enabling Statement-Level Annotations in RDF StreamsSemantic Systems. The Power of AI and Knowledge Graphs10.1007/978-3-030-33220-4_11
Article
State-of-the-Art Approaches for Meta-Knowledge Assertion in the Web of DataIETE Technical Review10.1080/02564602.2020.1819891
Chapter
A Comparative Study of Stream Reasoning EnginesThe Semantic Web10.1007/978-3-031-33455-9_2
Article
On the Use of Virtual Knowledge Graphs to Improve Environmental Sensor Data AccessibilityIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10.1109/JSTARS.2024.3370389
Chapter
Exposing rdf Archives Using Triple Pattern FragmentsKnowledge Engineering and Knowledge Management10.1007/978-3-319-58694-6_29
Chapter
Streaming Linked Data Life CycleStreaming Linked Data10.1007/978-3-031-15371-6_4
Chapter
BackgroundRelevant Query Answering over Streaming and Distributed Data10.1007/978-3-030-38339-8_2
Chapter
ACQUA: Approximate Continuous Query Answering in RSPRelevant Query Answering over Streaming and Distributed Data10.1007/978-3-030-38339-8_3
Chapter
Planning Ahead: Stream-Driven Linked-Data Access Under Update-Budget ConstraintsThe Semantic Web – ISWC 201610.1007/978-3-319-46523-4_16
Chapter
Efficient Live Public Transport Data Sharing for Route Planning on the WebWeb Engineering10.1007/978-3-030-50578-3_22
Article
Stream reasoning: A survey and outlookData Science10.3233/DS-170006
Chapter
Comparing a Polling and Push-Based Approach for Live Open Data InterfacesWeb Engineering10.1007/978-3-030-50578-3_7
Chapter
Semantic Stream Processing and ReasoningEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-2
Chapter
Exercise BookStreaming Linked Data10.1007/978-3-031-15371-6_6
Article
Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational workflowsJournal of Biomedical Semantics10.1186/s13326-024-00303-4
Article
Proactive Policy for Efficiently Updating Join Views on Continuous Queries Over Data Streams and Linked DataIEEE Access10.1109/ACCESS.2019.2923414
Chapter
Towards Context-Based Authorizations for Interactions in Hypermedia-Driven Agent Environments - The CASHMERE FrameworkEngineering Multi-Agent Systems10.1007/978-3-031-48539-8_13
Article
Continuous top-k approximated join of streaming and evolving distributed dataSemantic Web10.3233/SW-190367
Chapter
IntroductionRelevant Query Answering over Streaming and Distributed Data10.1007/978-3-030-38339-8_1
Conference
Decentralized Stream Reasoning AgentsProceedings of the 17th ACM International Conference on Distributed and Event-based Systems10.1145/3583678.3603286
Chapter
Semantic Stream ProcessingEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-1
Chapter
A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query LanguagesKnowledge Engineering and Knowledge Management10.1007/978-3-319-49004-5_10
Chapter
General IntroductionStreaming Linked Data10.1007/978-3-031-15371-6_1
Chapter
RSPLab: RDF Stream Processing Benchmarking Made EasyThe Semantic Web – ISWC 201710.1007/978-3-319-68204-4_21
Article
An ontology-mediated analytics-aware approach to support monitoring and diagnostics of static and streaming dataJournal of Web Semantics10.1016/j.websem.2019.01.001
Article
On the Semantics of Tpf-qs towards Publishing and Querying rdf Streams at Web-scaleProcedia Computer Science10.1016/j.procs.2018.09.005
Chapter
RSP4J: An API for RDF Stream ProcessingThe Semantic Web10.1007/978-3-030-77385-4_34
Chapter
Multi-keyword Parallel Search Algorithm for Streaming RDF DataBig Data10.1007/978-981-13-2922-7_33
Article
Querying multi-source heterogeneous fuzzy spatiotemporal dataJournal of Intelligent & Fuzzy Systems10.3233/JIFS-202357
Chapter
PreliminariesStreaming Linked Data10.1007/978-3-031-15371-6_2
Article
Enabling Efficient Semantic Stream Processing Across the IoT Network Through Adaptive Distribution with DIVIDEJournal of Network and Systems Management10.1007/s10922-023-09797-2
Chapter
Handling Queries with a FILTER ClauseRelevant Query Answering over Streaming and Distributed Data10.1007/978-3-030-38339-8_4
Chapter
Handling Top-k QueriesRelevant Query Answering over Streaming and Distributed Data10.1007/978-3-030-38339-8_6
Chapter
A First Step Towards a Streaming Linked Data Life-CycleThe Semantic Web – ISWC 202010.1007/978-3-030-62466-8_39
Chapter
Semantic Stream ProcessingEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_287
Chapter
Heaven: A Framework for Systematic Comparative Research Approach for RSP EnginesThe Semantic Web. Latest Advances and New Domains10.1007/978-3-319-34129-3_16
Article
A Framework Uniting Ontology-Based Geodata Integration and Geovisual AnalyticsISPRS International Journal of Geo-Information10.3390/ijgi9080474
Chapter
Capturing and Querying Uncertainty in RDF Stream ProcessingKnowledge Engineering and Knowledge Management10.1007/978-3-030-61244-3_3
Conference
A Preliminary Open Data Publishing Strategy for Live Data in FlandersCompanion of the The Web Conference 2018 on The Web Conference 2018 - WWW '1810.1145/3184558.3191650
Article
The delay and window size problems in rule-based stream reasoningArtificial Intelligence10.1016/j.artint.2022.103668
Chapter
Taming Variety and VelocityStreaming Linked Data10.1007/978-3-031-15371-6_3
Chapter
Contrasting RDF Stream Processing SemanticsSemantic Technology10.1007/978-3-319-31676-5_21
Article
Stream reasoning with DatalogMTLJournal of Web Semantics10.1016/j.websem.2023.100776
Article
Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by designSemantic Web10.3233/SW-223281
Article
Real-Time Compliant Stream Processing Agents for Physical RehabilitationSensors10.3390/s20030746
Article
Defining the execution semantics of stream processing enginesJournal of Big Data10.1186/s40537-017-0072-9
Chapter
When a FILTER Makes the Difference in Continuously Answering SPARQL Queries on Streaming and Quasi-Static Linked DataWeb Engineering10.1007/978-3-319-38791-8_17
Chapter
SLD Revolution: A Cheaper, Faster yet More Accurate Streaming Linked Data FrameworkThe Semantic Web: ESWC 2017 Satellite Events10.1007/978-3-319-70407-4_37
Chapter
Streaming Linked DataEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_340-1
Chapter
Velocity on the WebSpecial Topics in Information Technology10.1007/978-3-030-62476-7_8
Article
Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data StreamsSensors10.3390/s18113832
Chapter
Engineering of Web Stream Processing ApplicationsReasoning Web. Learning, Uncertainty, Streaming, and Scalability10.1007/978-3-030-00338-8_8
Chapter
Web Stream Processing Systems and BenchmarksStreaming Linked Data10.1007/978-3-031-15371-6_5
Chapter
Towards Analytics Aware Ontology Based Access to Static and Streaming DataThe Semantic Web – ISWC 201610.1007/978-3-319-46547-0_31
Article
An Ontology-Mediated Analytics-Aware Approach to Support Monitoring and Diagnostics of Static and Streaming DataSSRN Electronic Journal10.2139/ssrn.3313406

RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems

Daniele Dell'Aglio, Emanuele Della Valle, Jean-Paul Calbimonte, Oscar Corcho

Source Title: International Journal on Semantic Web and Information Systems (IJSWIS)10(4)

ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781466657038|DOI: 10.4018/ijswis.2014100102

Cite Article Cite Article

MLA

Dell'Aglio, Daniele, et al. "RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems." IJSWIS vol.10, no.4 2014: pp.17-44. http://doi.org/10.4018/ijswis.2014100102

APA

Dell'Aglio, D., Della Valle, E., Calbimonte, J., & Corcho, O. (2014). RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems. International Journal on Semantic Web and Information Systems (IJSWIS), 10(4), 17-44. http://doi.org/10.4018/ijswis.2014100102

Chicago

Dell'Aglio, Daniele, et al. "RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems," International Journal on Semantic Web and Information Systems (IJSWIS) 10, no.4: 17-44. http://doi.org/10.4018/ijswis.2014100102

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

RDF and SPARQL are established standards for data interchange and querying on the Web. 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. 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. These efforts resulted in several models and implementations that, at a first look, appear to propose alternative syntaxes but equivalent semantics. However, when asked to continuously answer the same queries on the same data streams, they provide different answers at disparate moments due to the heterogeneity of their operational semantics. These discrepancies render the process of understanding and comparing continuous query results complex and misleading. In this work, the authors propose RSP-QL, a comprehensive model that formally defines the semantics of an RSP system. RSP-QL makes explicit the hidden assumptions of currently available RSP systems, allows defining a formal notion of correctness for RSP query results and, thus, explains why available implementations provide different answers at disparate moments.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems

MLA

APA

Chicago

Export Reference

Abstract

Request Access