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dc.contributor.authorZeginis, Dimitris-
dc.contributor.authorKalampokis, Evangelos-
dc.contributor.authorBill, Roberts-
dc.contributor.authorMoynihan, Rick-
dc.contributor.authorTambouris, Efthimios-
dc.contributor.authorTarabanis, Konstantinos-
dc.contributor.editorCapadisli, Sarven-
dc.contributor.editorCotton, Franck-
dc.contributor.editorDong, Xin Luna-
dc.contributor.editorGuha, Ramanathan V.-
dc.contributor.editorHaller, Armin-
dc.contributor.editorHitzler, Pascal-
dc.contributor.editorKalampokis, Evangelos-
dc.contributor.editorKejriwal, Mayank-
dc.contributor.editorSivakumar, D.-
dc.contributor.editorSzekely, Pedro-
dc.contributor.editorTroncy, Raphaël-
dc.contributor.editorWitbrock, Michael-
dc.date.accessioned2021-04-07T10:04:03Z-
dc.date.available2021-04-07T10:04:03Z-
dc.date.issued2017-
dc.identifier.urihttp://semstats.org/2017/ceur/ceur-ws/article-11.pdfen_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/903-
dc.description.abstractRecently, many organizations have opened up their data for others to reuse. A major part of these data concern statistics such as demographic and social indicators. Linked Data is a promising paradigm for opening data because it facilitates data integration on the Web. Recently, a growing number of organizations adopted linked data paradigm and provided Linked Open Statistical Data (LOSD). These data can be exploited to create added value services and applications that require integrated data from multiple sources. In this paper, we suggest that in order to unleash the full potential of LOSD we need to facilitate the interaction with LOSD and hide most of the complexity. Moreover, we describe the requirements and design criteria of a JSON-QB API hat (i) facilitates the development of LOSD tools through a style of interaction familiar to web developers and (ii) offers a uniform way to access LOSD. A proof of concept implementation of the JSON-QB API demonstrates part of the proposed functionality.en_US
dc.language.isoenen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subject.otherLinked dataen_US
dc.subject.otherStatistical dataen_US
dc.subject.otherdata cubeen_US
dc.subject.otherAPIen_US
dc.subject.otherJSONen_US
dc.subject.otherrequirementsen_US
dc.titleFacilitating the exploitation of Linked Open Statistical Data: JSON-QB API requirements and design criteriaen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volumetitleJoint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th Extended Semantic Web Conference (ISWC 2017)en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής
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