EcoDaLo: Federating advertisement targeting with Linked Data

dc.contributor.author	Lieber, Sven
dc.contributor.author	De Meester, Ben
dc.contributor.author	Verborgh, Ruben
dc.contributor.author	Dimou, Anastasia
dc.contributor.imecauthor	Lieber, Sven
dc.contributor.imecauthor	De Meester, Ben
dc.contributor.imecauthor	Verborgh, Ruben
dc.contributor.imecauthor	Dimou, Anastasia
dc.contributor.orcidimec	Lieber, Sven::0000-0002-7304-3787
dc.contributor.orcidimec	De Meester, Ben::0000-0003-0248-0987
dc.contributor.orcidimec	Verborgh, Ruben::0000-0002-8596-222X
dc.date.accessioned	2021-10-29T00:00:19Z
dc.date.available	2021-10-29T00:00:19Z
dc.date.embargo	9999-12-31
dc.date.issued	2020
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/35480
dc.identifier.url	https://doi.org/10.1007/978-3-030-59833-4_6
dc.source.beginpage	1
dc.source.conference	SEMANTICS2020, the 16th International Conference on Semantic Systems. The Power of AI and Knowledge Graphs
dc.source.conferencedate	9/09/2020
dc.source.conferencelocation	Online Online
dc.source.endpage	16
dc.title	EcoDaLo: Federating advertisement targeting with Linked Data
dc.type	Proceedings paper
dspace.entity.type	Publication
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