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Drag it together with Groupie: making RDF data authoring easy and fun for anyone

Saunders, Jack, Van Kleek, Max and schraefel, m.c. (2011) Drag it together with Groupie: making RDF data authoring easy and fun for anyone At 24th UIST (ACM Symposium on User Interface Software and Technology) 2011, United States. 16 - 19 Oct 2011. 11 pp.

Record type: Conference or Workshop Item (Paper)


One of the foremost challenges towards realizing a “Read- write Web of Data” [3] is making it possible for everyday computer users to easily find, manipulate, create, and pub- lish data back to the Web so that it can be made available for others to use. However, many aspects of Linked Data make authoring and manipulation difficult for “normal” (ie non- coder) end-users. First, data can be high-dimensional, hav- ing arbitrary many properties per “instance”, and interlinked to arbitrary many other instances in a many different ways. Second, collections of Linked Data tend to be vastly more heterogeneous than in typical structured databases, where in- stances are kept in uniform collections (e.g., database tables). Third, while highly flexible, the problem of having all struc- tures reduced as a graph is verbosity: even simple structures can appear complex. Finally, many of the concepts involved in linked data authoring - for example, terms used to define ontologies are highly abstract and foreign to regular citizen-users.

To counter this complexity we have devised a drag-and-drop direct manipulation interface that makes authoring Linked Data easy, fun, and accessible to a wide audience. Groupie allows users to author data simply by dragging blobs representing entities into other entities to compose relationships, establishing one relational link at a time. Since the underlying representation is RDF, Groupie facilitates the inclusion of references to entities and properties defined elsewhere on the Web through integration with popular Linked Data indexing services. Finally, to make it easy for new users to build upon others’ work, Groupie provides a communal space where all data sets created by users can be shared, cloned and modified, allowing individual users to help each other model complex
domains thereby leveraging collective intelligence.

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Published date: March 2011
Venue - Dates: 24th UIST (ACM Symposium on User Interface Software and Technology) 2011, United States, 2011-10-16 - 2011-10-19
Keywords: guides, instructions, formatting
Organisations: Web & Internet Science


Local EPrints ID: 335028
PURE UUID: 47a92733-9cde-4dd2-b364-e3f99445bd03

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Date deposited: 09 Mar 2012 15:14
Last modified: 18 Jul 2017 06:11

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Author: Jack Saunders
Author: Max Van Kleek
Author: m.c. schraefel

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