1 - 10 of 11 articles
Linked Open Data (LOD) was designed to respect heterogeneity in source datasets. However, the fundamental mechanisms of interlinking require sameness without nuance, so Linked Data is at risk of the problems associated with lack of diversity in big data generally. This article investigates the...
Creating semantically well-structured data from various historical sources is a challenging task as its contents are quite complicated and less structured. Factoid Prosopography Ontology (FPO), a source-oriented data model for prosopography, tackles this problem and enables the knowledge...
Today, the majority of music performers and vocalists are not able to read mensural notation fluently, and so conductors and music ensembles require modern editions for performing historical music. However, the conversion of printed white mensural sheet music into audible and performable modern...
An important part of the historical record of premodern China is recorded in historical works such as the standard dynastic histories. These works are a key source of knowledge about many aspects of premodern Chinese civilization, including persons, events, bureaucratic structures, literature,...
Building on the work of the Mapping Manuscript Migrations (MMM) Project between 2017 and 2020, this article aims to identify the potential benefits and likely challenges of using Linked Open Data (LOD) more widely across the research field of medieval studies. As well as aggregating and linking...
MiMoText is a research project in computational literary studies dealing with new ways to model and analyse literary history and literary historiography. It is based on the idea of extracting statements relevant to literary history from bibliographies, scholarly publications and primary sources,...
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Sign Up Log In
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.