Applying Linked Data Technologies in the Social Sciences

Zapilko, Benjamin; Schaible, Johann; Wandhofer, Timo; Mutschke, Peter

[journal article]

dc.contributor.author	Zapilko, Benjamin	de
dc.contributor.author	Schaible, Johann	de
dc.contributor.author	Wandhofer, Timo	de
dc.contributor.author	Mutschke, Peter	de
dc.date.accessioned	2016-06-08T11:34:50Z
dc.date.available	2016-11-24T11:21:18Z
dc.date.issued	2015	de
dc.identifier.issn	1610-1987	de
dc.identifier.uri	http://www.ssoar.info/ssoar/handle/document/46997
dc.description.abstract	In recent years Linked Open Data (LOD) has matured and gained acceptance across various communities and domains. Large potential of Linked Data technologies is seen for an application in scientific disciplines. In this article, we present use cases and applications for an application of Linked Data in the social sciences. They focus on (a) interlinking domain-specific information, and (b) linking social science data to external LOD sources (e.g. authority data) from other domains. However, several technical and research challenges arise, when applying Linked Data technologies to a scientific domain with its specific data, information needs and use cases. We discuss these challenges and show how they can be addressed. (author's abstract)	en
dc.language	en	de
dc.subject.ddc	News media, journalism, publishing	en
dc.subject.ddc	Publizistische Medien, Journalismus,Verlagswesen	de
dc.subject.other	Linked Open Data; LOD	de
dc.title	Applying Linked Data Technologies in the Social Sciences	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Künstliche Intelligenz
dc.source.volume	30	de
dc.publisher.country	DEU
dc.source.issue	2	de
dc.subject.classoz	Information und Dokumentation, Bibliotheken, Archive	de
dc.subject.classoz	Information and Documentation, Libraries, Archives	en
dc.subject.thesoz	information technology	en
dc.subject.thesoz	Datenzugang	de
dc.subject.thesoz	data bank	en
dc.subject.thesoz	künstliche Intelligenz	de
dc.subject.thesoz	artificial intelligence	en
dc.subject.thesoz	social science	en
dc.subject.thesoz	Informationsgewinnung	de
dc.subject.thesoz	data access	en
dc.subject.thesoz	data organization	en
dc.subject.thesoz	data storage	en
dc.subject.thesoz	Sozialwissenschaft	de
dc.subject.thesoz	Informationssystem	de
dc.subject.thesoz	Informationstechnik	de
dc.subject.thesoz	information system	en
dc.subject.thesoz	Datenbank	de
dc.subject.thesoz	information capture	en
dc.subject.thesoz	Informationswissenschaft	de
dc.subject.thesoz	Datenspeicherung	de
dc.subject.thesoz	Datenorganisation	de
dc.subject.thesoz	information science	en
dc.identifier.urn	urn:nbn:de:0168-ssoar-46997-3
dc.rights.licence	Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung	de
dc.rights.licence	Deposit Licence - No Redistribution, No Modifications	en
ssoar.contributor.institution	GESIS
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10040380
internal.identifier.thesoz	10058540
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internal.identifier.thesoz	10043031
internal.identifier.thesoz	10047368
internal.identifier.thesoz	10047422
dc.type.stock	article	de
dc.type.document	journal article	en
dc.type.document	Zeitschriftenartikel	de
dc.source.pageinfo	159-162	de
internal.identifier.classoz	1080501
internal.identifier.journal	218
internal.identifier.document	32
internal.identifier.ddc	070
dc.identifier.doi	https://doi.org/10.1007/s13218-015-0416-6	de
dc.subject.methods	anwendungsorientiert	de
dc.subject.methods	applied research	en
dc.description.pubstatus	Postprint	en
dc.description.pubstatus	Postprint	de
internal.identifier.licence	3
internal.identifier.methods	1
internal.identifier.pubstatus	2
internal.identifier.review	1
dc.subject.classhort	30200	de
ssoar.wgl.collection	true	de
internal.pdf.version	1.5
internal.pdf.valid	true
internal.pdf.wellformed	true
internal.check.abstractlanguageharmonizer	CERTAIN
internal.check.languageharmonizer	CERTAIN_RETAINED

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