کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6950435 1451597 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The dataLegend ecosystem for historical statistics
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
The dataLegend ecosystem for historical statistics
چکیده انگلیسی
The main promise of the digital humanities is the ability to perform scholarly studies at a much broader scale, and in a much more reusable fashion. The key enabler for such studies is the availability of sufficiently well described data. For the field of socio-economic history, data usually comes in a tabular form. Existing efforts to curate and publish datasets take a top-down approach and are focused on large collections, produce scarce metadata, require expertise for effective integration, provide poor user support while producing mappings, and present issues at data access. This paper presents the datalegend platform, which addresses the long tail of research data by catering for the needs of individual scholars. datalegend allows researchers to publish their (small) datasets, link them to existing vocabularies and other datasets, and thereby contribute to a growing collection of interlinked datasets. We present the architecture of datalegend; its core vocabularies and data; and QBer, an interactive, user supportive mapping generator and RDF converter. We evaluate our results by showing how our system facilitates use cases in socio-economic history.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Web Semantics - Volume 50, May 2018, Pages 49-61
نویسندگان
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