Talks and Poster Presentations (with Proceedings-Entry):
B. Alsallakh, S. Miksch, A. Rauber:
"Towards a Visualization of Multi-faceted Search Results";
Talk: Workshop on Knowledge Maps and Information Retrieval (KMIR), at the the ACM/IEEE Joint Conference on Digital Libraries,
2014-09-11; in: "Workshop on Knowledge Maps and Information Retrieval (KMIR)",
A common way of formulating search queries over a set of items is to select facets these items should satisfy. For example, when searching for a specific person based on specific skills, the user wants to specify the skills she is searching for. Very often, few or no search results are returned that satisfy all search facets, which leads the user to iteratively refine her search. This process is not only tedious and time consuming, but it might cause the user to miss relevant results that partially satisfy the search constraints. We present a visualization of multi-faceted data which assists the user in performing multi-faceted search. This visualization provides an overview of which data items satisfy each combination of search facets. By means of interaction and visual guidance, the user can interactively refine her search queries and retrieve the items that satisfy as much of the desired search facets as possible.
faceted search; search interface; visual queries; Visualization; set-typed data
Electronic version of the publication:
Project Head Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)
Created from the Publication Database of the Vienna University of Technology.