A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
WebTables: exploring the power of tables on the web
Proceedings of the VLDB Endowment
Dynamic faceted search for discovery-driven analysis
Proceedings of the 17th ACM conference on Information and knowledge management
Exploratory Search
What do exploratory searchers look at in a faceted search interface?
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Conceptual Modeling of Multimedia Search Applications Using Rich Process Models
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience
Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience
Kosmix: high-performance topic exploration using the deep web
Proceedings of the VLDB Endowment
Modelling Safe Interface Interactions in Web Applications
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Applications of web query mining
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Information exploration in search computing
Search computing
Visualization of multi-domain ranked data
Search computing
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Liquid queries are a flexible tool for information seeking, based on the progressive exploration of the search space; they produce “fluid” results which dynamically adapt to the shape of the query, as a liquid adapts to its container. The liquid query paradigm relies on the SeCo service mart and multi-domain query execution concepts: an expert user selects a priori the service marts relevant to the information seeking task at hand and the connections necessary to join them, and publishes such a definition in the SeCo back-end. The Liquid Query client-side interface consumes the application definition created by the expert and dynamically builds a query interface for the end-user. Such interface allows one to supply keywords to query the pre-configured service marts and offers controls for exploring the combinations computed by the SeCo execution engine. The interaction commands are based on a tabular representation of results and comprise: reordering, clustering, addition or deletion of attributes, addition of extra service marts to the query for specific items in the result set or for the entire result set, request of more results from all services or from selected ones, expansion of details on selected items, and more. The Liquid Query is equipped with multiple data visualization options suited to render multi-domain results and can be instrumented with indicators showing the quality of the result set.