PUBLICATION
URI-aware user input interfaces for the unobtrusive reference to Linked Data
Type
Journal Article
Year
2018
Authors
Research Area
Intelligent Information Management
Published in
IADIS International Journal on Computer Science and Information Systems, Vol. 13, No. 2
ISBN/ISSN
1646-3692
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Abstract
Using appropriate entity URIs is a crucial factor for the success of semantic-enabled applications for data management and data retrieval. Especially data applications that collect data to build knowledge graphs rely on correct concept identifiers in favor of ambiguous literals. This collection involves human interaction in the web frontend without annoying the user. But appropriate user interfaces for this task are still a challenge. In this article, we focus on the design of form elements that unobtrusively allow input data both for human and machine interaction from a semantic point of view. Motivated by web-based scholarly document-submission systems, we first present a brief current-state analysis on the support of semantic input operations, investigate how these usersinput interfaces can be improved for concept linking purposes with an auto-suggestion behavior and finally evaluate with a proof-of concept implementation and user survey the advantages and acceptance of our approach.
Reference
Langer, André; Göpfert, Christoph; Gaedke, Martin: URI-aware user input interfaces for the unobtrusive reference to Linked Data. IADIS International Journal on Computer Science and Information Systems, Vol. 13, No. 2, pp. 62-75, 2018.
