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Harnessing the Scientific Data Produced by the Experimental Evaluation of Search Engines and Information Access Systems

, , , and . Elsevier Grand Challenge, (2011)

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An Ontology Based Visual Tool for Query Formulation Support., , , , , and . ECAI, page 308-312. IOS Press, (2004)Comparative Ease of Use of a Diagrammatic vs. an Iconic Query Language., , , and . IDS, page 4. Springer, (1996)Modelling internet based applications for designing multi-device adaptive interfaces., and . CoRR, (2017)BELIV'06: beyond time and errors; novel evaluation methods for information visualization., , and . Interactions, 14 (3): 59-60 (2007)A visual data mining environment: metaqueries and association rules., , and . AVI, page 247-250. ACM, (2002)Query Representation and Management in a Multiparadigmatic Visual Query Environment., , and . J. Intell. Inf. Syst., 3 (3/4): 299-330 (1994)Modeling Incremental Visualizations., and . EuroVA@EuroVis, Eurographics Association, (2013)Give chance a chance- modeling density to enhance scatter plot quality through random data sampling., and . Inf. Vis., 5 (2): 95-110 (2006)Visualization and analysis of schema and instances of ontologies for improving user tasks and knowledge discovery., , and . J. Comput. Lang., (2019)Smart homes to improve the quality of life for all., , , , , , , , , and 1 other author(s). EMBC, page 1777-1780. IEEE, (2011)