LODE: Linking Digital Humanities Content to the Web of Data
Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen,, Mathias Niepert

TL;DR
LODE is a framework that enables digital humanities scholars to easily enrich and link their local RDF data with high-quality data from the Linked Open Data cloud through user-friendly interfaces and matching algorithms.
Contribution
The paper introduces the LODE framework, a tool that simplifies RDF data enrichment and linking for non-technical users in digital humanities.
Findings
LODE effectively supports non-technical users in data enrichment.
LODE provides high-quality linking suggestions using tailored algorithms.
The framework integrates seamlessly with existing digital humanities workflows.
Abstract
Numerous digital humanities projects maintain their data collections in the form of text, images, and metadata. While data may be stored in many formats, from plain text to XML to relational databases, the use of the resource description framework (RDF) as a standardized representation has gained considerable traction during the last five years. Almost every digital humanities meeting has at least one session concerned with the topic of digital humanities, RDF, and linked data. While most existing work in linked data has focused on improving algorithms for entity matching, the aim of the LinkedHumanities project is to build digital humanities tools that work "out of the box," enabling their use by humanities scholars, computer scientists, librarians, and information scientists alike. With this paper, we report on the Linked Open Data Enhancer (LODE) framework developed as part of the…
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Taxonomy
TopicsSemantic Web and Ontologies · Natural Language Processing Techniques · Library Science and Information Systems
