Publication:

A Query Model for Ontology-Based Event Processing over RDF Streams

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-4824-1199
cris.virtual.orcid0000-0003-2529-5477
cris.virtual.orcid0000-0002-8931-8343
cris.virtualsource.department505a9fa2-2261-4859-8c77-73c2ba21244c
cris.virtualsource.department9d6fa2a2-655c-4182-b90b-ee51beb7e92b
cris.virtualsource.departmentcf258e83-0c92-4181-9cbd-275fb802d237
cris.virtualsource.orcid505a9fa2-2261-4859-8c77-73c2ba21244c
cris.virtualsource.orcid9d6fa2a2-655c-4182-b90b-ee51beb7e92b
cris.virtualsource.orcidcf258e83-0c92-4181-9cbd-275fb802d237
dc.contributor.authorTommasini, Riccardo
dc.contributor.authorBonte, Pieter
dc.contributor.authorDella Valle, Emanuele
dc.contributor.authorOngenae, Femke
dc.contributor.authorDe Turck, Filip
dc.date.accessioned2026-03-16T15:08:26Z
dc.date.available2026-03-16T15:08:26Z
dc.date.createdwos2025-10-24
dc.date.issued2018
dc.description.abstractStream Reasoning (SR) envisioned, investigated and proved the possibility to make sense of streaming data in real-time. Now, the community is investigating more powerful solutions, realizing the vision of expressive stream reasoning. Ontology-Based Event Processing (OBEP) is our contribution to this field. OBEP combines Description Logics and Event Recognition Languages. It allows describing events either as logical statements or as complex event patterns, and it captures their occurrences over ontology streams. In this paper, we define OBEP’s query model, we present a language to define OBEP queries, and we explain the language semantics.
dc.identifier.doi10.1007/978-3-030-03667-6_28
dc.identifier.isbn978-3-030-03666-9
dc.identifier.issn2945-9133
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58851
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage439
dc.source.conferenceKNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, EKAW 2018
dc.source.conferencedate2018-11-12
dc.source.conferencelocationNancy
dc.source.endpage453
dc.source.journalKNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, EKAW 2018
dc.source.numberofpages15
dc.title

A Query Model for Ontology-Based Event Processing over RDF Streams

dc.typeProceedings paper
dspace.entity.typePublication
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
Files

Original bundle

Name:
query model publ.pdf
Size:
302.03 KB
Format:
Adobe Portable Document Format
Description:
Published
Name:
query model acc.pdf
Size:
353.36 KB
Format:
Adobe Portable Document Format
Description:
Accepted
Publication available in collections: