Hide metadata

dc.date.accessioned2014-09-23T14:49:13Z
dc.date.available2014-09-23T14:49:13Z
dc.date.created2014-09-22T14:13:18Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10852/41251
dc.description.abstractWith growing interest in the creation and search of linguistic annotations that form general graphs (in contrast to formally simpler, rooted trees), there also is an increased need for infrastructures that support the exploration of such representations, for example logical-form meaning representations or semantic dependency graphs. In this work, we heavily lean on semantic technologies and in particular the data model of the Resource Description Framework (RDF) to represent, store, and efficiently query very large collections of text annotated with graph-structured representations of sentence meaning. The LREC 2014 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.en_US
dc.languageEN
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleSemantic Technologies for Querying Linguistic Annotations: An Experiment Focusing on Graph-Structured Dataen_US
dc.typeChapteren_US
dc.creator.authorKouylekov, Milen
dc.creator.authorOepen, Stephan
cristin.unitcode185,15,5,56
cristin.unitnameForskningsgruppen for språkteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin1156703
dc.identifier.startpage4331
dc.identifier.endpage4336
dc.identifier.urnURN:NBN:no-45814
dc.type.documentBokkapittelen_US
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/41251/1/1166_Paper.pdf
dc.type.versionPublishedVersion
cristin.btitleProceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)


Files in this item

Appears in the following Collection

Hide metadata

Attribution-NonCommercial 4.0 International
This item's license is: Attribution-NonCommercial 4.0 International