Masterarbeit
User Input Interface to collect relevant Linked Data property information for
interdisciplinary research data annotation and reuse
Completion
2019/07
Research Area
Intelligent Information Management
Students
Advisers
Description
Publishing and reusing research data are two crucial aspects
of proper scientific work beside other steps in the data management lifecycle. In the
World Wide Web, the appropriate annotation of research data with meta information is a
basic requirement so that other users can find and reuse existing, relevant work. However,
it is assumed that the annotation process is tedious for the majority of users,
cognitively overloads them with the large amount of information to provide, and results in
sparely provided, narrow-minded meta information with ambiguous content in the end.
Ontologies such as schema.org/Dataset can act as a blueprint, but it remains hard
especially for inexperienced and non-technical users to select relevant properties and
manually annotate a dataset based on these vocabularies; especially in the context of
Linked Data. Appropriate tools in the data management life cycle could reduce this barrier
for a researcher, but it appears that no solution was widely accepted so far, or is bound
to a particular data management platform.
The aim of this project
is to address this issue with assisting user-centric application interfaces that help and
motivate researchers to describe their data by means of Linked Data. After a requirement
analysis, already existing UI approaches (both originating in science or industry) have to
be compared first to which extent they already satisfy all requirements. Then, a concept
has to be developed, how an RDF meta data description for existing research data in
heterogeneous shapes can be obtained with user-interaction in the frontend and optional
data operations in the background. The meta data description shall include relevant
information in a structured and unambiguous fashion so that the described research
artefact can be found by other researchers. A web-based prototypical implementation and
evaluation has to show the feasibility and acceptance.
