A temporal comparison of AltaVista Web searching: Research Articles
Journal of the American Society for Information Science and Technology
Fast, flexible filtering with phlat
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IEEE Intelligent Systems
A Novel Visualization Model for Web Search Results
IEEE Transactions on Visualization and Computer Graphics
Web searcher interaction with the Dogpile.com metasearch engine
Journal of the American Society for Information Science and Technology
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Bioinformatics
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
SeMap: A Concept for the Visualization of Semantics as Maps
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Search User Interfaces
Web Semantics: Science, Services and Agents on the World Wide Web
Research Methods in Human-Computer Interaction
Research Methods in Human-Computer Interaction
Interactive Data Visualization: Foundations, Techniques, and Applications
Interactive Data Visualization: Foundations, Techniques, and Applications
Sematime - timeline visualization of time-dependent relations and semantics
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
SkylineSearch: semantic ranking and result visualization for pubmed
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Interactive relationship discovery via the semantic web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
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Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.