Linked data brokering service for historical places and maps

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Hyvönen, Eero Ikkala, Esko Tuominen, Jouni
dc.contributor.editor Adamou, Alessandro
dc.contributor.editor Daga, Enrico
dc.contributor.editor Isaksen, Leif 2018-12-10T10:17:40Z 2018-12-10T10:17:40Z 2016
dc.identifier.citation Hyvönen , E , Ikkala , E & Tuominen , J 2016 , Linked data brokering service for historical places and maps . in A Adamou , E Daga & L Isaksen (eds) , WHiSe 2016 Humanities in the Semantic Web : Proceedings of the 1st Workshop on Humanities in the Semantic Web co-located with 13th ESWC Conference 2016 (ESWC 2016) . CEUR Workshop Proceedings , vol. 1608 , Sun SITE Central Europe (CEUR) , pp. 39-51 , Workshop on Humanities in the Semantic Web , Anissaras , Greece , 29/05/2016 . en
dc.identifier.issn 1613-0073
dc.identifier.other PURE UUID: 54193193-c8ea-4537-9814-192faf1620f6
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE LINK:
dc.identifier.other PURE FILEURL:
dc.description.abstract This paper presents a new Linked Open Data brokering service model HIPLA for using and maintaining historical place gazetteers and maps based on distributed SPARQL endpoints. The model introduces several novelties: First, the service facilitates collaborative maintenance of geo-ontologies and maps in real time as a side effect of annotating contents in legacy cataloging systems. The idea is to support a collaborative ecosystem of curators that creates and maintains data about historical places and maps in a sustainable way. Second, in order to foster understanding of historical places, the places can be provided on both modern and historical maps, and with additional contextual Linked Data attached. Third, since data about historical places is typically maintained by different authorities and in different countries, the service can be used and extended in a federated fashion, by including new distributed SPARQL endpoints (or other web services with a suitable API) into the system. To test and demonstrate the model, we created the first prototype implementation of the HIPLA model. is based on four Finnish datasets in SPARQL endpoints totaling some 840,000 geocoded places on 450 historical maps from two atlas series aligned on modern maps, and on the Getty Thesaurus of Geographic Names (TGN) SPARQL endpoint in the US. As a first application, a part of the data service has been applied in creating a 5 million triple semantic portal of historical Second World War data with tens of thousands of end users. en
dc.format.extent 13
dc.format.extent 39-51
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof Workshop on Humanities in the Semantic Web en
dc.relation.ispartofseries WHiSe 2016 Humanities in the Semantic Web en
dc.relation.ispartofseries CEUR Workshop Proceedings en
dc.relation.ispartofseries Volume 1608 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other 113 Computer and information sciences en
dc.title Linked data brokering service for historical places and maps en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Computer Science
dc.contributor.department Professorship Hyvönen E.
dc.subject.keyword Computer Science(all)
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201812106065
dc.type.version publishedVersion

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