Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing
by Francesca Tomasi, Elena Spadini, Georg Vogeler
Graph data-models and semantic web technologies are pivotal in advancing scholarly digital editing. This work examines their integration to improve data representation, analysis, and preservation in academic contexts. It highlights methodologies for handling complex scholarly resources effectively.
About This Book
Graph data-models offer a structured approach to representing complex relationships in data, particularly useful in scholarly digital editing where interconnections between texts, authors, and historical contexts are crucial.
Semantic web technologies enhance the interoperability and machine-readability of digital content, enabling more effective preservation and analysis of scholarly materials.
The book delves into how these technologies can transform traditional editing practices into dynamic, data-driven processes.
Authors Francesca Tomasi, Elena Spadini, and Georg Vogeler contribute their expertise to illustrate practical applications in digital scholarship.
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