Evoke: exploring and extending lexicographic resources using a linked data approach

Tracking #: 2690-3904

This paper is currently under review
Authors: 
Sander Stolk

Responsible editor: 
Guest Editors Advancements in Linguistics Linked Data 2021

Submission type: 
Tool/System Report
Abstract: 
Lexicographic resources such as thesauri contain a wealth of information for research, but their published forms not uncommonly limit the ways in which users can interact with them. The web application Evoke offers users functionality for viewing, navigating, extending, and analysing content of topical thesauri. Its use of linked data mechanisms and a novel architecture (relying on the use of data catalogues, internet browser storage, annotation of URIs) addresses one of the more intractable problems in modern lexicography: allowing users to engage more fully with published lexicographic content without them infringing on licenses or requiring additional hosting. Users of Evoke can engage with lexicographic content by annotating, adding tags, and building custom queries without the need to have full, unlimited access to the entire dataset of the lexicographic resource. Evoke is one of the first applications that provides a user-friendly interface for working with Linguistic Linked Data resources, opening these resources up to users who may not have advanced knowledge of linked data and RDF technologies. Students as well as established researchers have confirmed the user interface and underlying architecture of Evoke to be of value in answering novel research questions relying on the data of these lexical treasure troves -- complemented by their own.
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Under Review