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
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.
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.