Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gerald Haesendonck"'
Publikováno v:
The Semantic Web – ISWC 2022 ISBN: 9783031194320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c70c154e94639a72ca6983b93013861
https://doi.org/10.1007/978-3-031-19433-7_40
https://doi.org/10.1007/978-3-031-19433-7_40
Autor:
Dylan Van Assche, Thomas Delva, Gerald Haesendonck, Pieter Heyvaert, Ben De Meester, Anastasia Dimou
Publikováno v:
Journal of Web Semantics. 75:100753
ispartof: Journal Of Web Semantics vol:75 status: Published online
Autor:
Friedel Geeraert, Peter Mechant, Alejandra Michel, Gerald Haesendonck, Emmanuel Di Pretoro, Sally Chambers, Eveline Vlassenroot
Publikováno v:
Vlassenroot, E, Chambers, S, Di Pretoro, E, Geeraert, F, Haesendonck, G, Michel, A & Mechant, P 2019, ' Web archives as a data resource for digital scholars ', International journal of digital humanities, no. 1, pp. 1-27 .
The aim of this article is to provide an exploratory analysis of the landscape of web archiving activities in Europe. Our contribution, based on desk research, and complemented with data from interviews with representatives of European heritage insti
Autor:
Dylan Van Assche, Thomas Delva, Ben De Meester, Pieter Heyvaert, Gertjan De Mulder, Anastasia Dimou, Gerald Haesendonck
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030742959
ICWE
WEB ENGINEERING, ICWE 2021
ICWE
WEB ENGINEERING, ICWE 2021
Constructing a knowledge graph with mapping languages, such as RML or SPARQL-Generate, allows seamlessly integrating heterogeneous data by defining access-specific definitions for e.g., databases or files. However, such mapping languages have limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42a1a35bc2153b63cb9ef58b20f37ee5
https://doi.org/10.1007/978-3-030-74296-6_26
https://doi.org/10.1007/978-3-030-74296-6_26
Publikováno v:
SBD@SIGMOD
To unlock the value of increasingly available data in high volumes, we need flexible ways to integrate data across different sources. While semantic integration can be provided through RDF generation, current generators insufficiently scale in terms
Autor:
Olaf Hartig, Joachim Van Herwegen, Pieter Colpaert, Laurens De Vocht, Ruben Verborgh, Ben De Meester, Miel Vander Sande, Gerald Haesendonck
Publikováno v:
JOURNAL OF WEB SEMANTICS
Billions of Linked Data triples exist in thousands of RDF knowledge graphs on the Web, but few of those graphs can be queried live from Web applications. Only a limited number of knowledge graphs are available in a queryable interface, and existing i
Autor:
Gerald Haesendonck, Laurens De Vocht, Steven Latre, Erik Mannens, Ruben Verborgh, Anastasia Dimou, Martin Vanbrabant
Publikováno v:
Semantics, Analytics, Visualization ISBN: 9783030013783
Enriching scholarly data with metadata enhances the publications’ meaning. Unfortunately, different publishers of overlapping or complementary scholarly data neglect general-purpose solutions for metadata and instead use their own ad-hoc solutions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e5566b2f012104b5f1bdfbde2e63b8a
https://doi.org/10.1007/978-3-030-01379-0_2
https://doi.org/10.1007/978-3-030-01379-0_2
Autor:
Laurens De Vocht, Ruben Verborgh, Olaf Hartig, Ben De Meester, Miel Vander Sande, Rik Van de Walle, Pieter Colpaert, Richard Cyganiak, Erik Mannens, Gerald Haesendonck
Publikováno v:
The Semantic Web – ISWC 2014 ISBN: 9783319119632
Semantic Web Conference (1)
Semantic Web Conference (1)
As the Web of Data is growing at an ever increasing speed, the lack of reliable query solutions for live public data becomes apparent. sparql implementations have matured and deliver impressive performance for public sparql endpoints, yet poor availa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9650ee8dabe8c9f136f53e4c48aa935a
https://doi.org/10.1007/978-3-319-11964-9_12
https://doi.org/10.1007/978-3-319-11964-9_12
Autor:
Tom De Nies, Wesley De Neve, Gerald Haesendonck, Fréderic Godin, Rik Van de Walle, Erik Mannens
Publikováno v:
WWW (Companion Volume)
Scopus-Elsevier
Scopus-Elsevier
In this paper, we investigate the possibilities to estimate the impact the content of a news article has on social media, and in particular on Twitter. We propose an approach that makes use of captured and temporarily stored microposts found in socia