Exploring Large Graphs in 3D Hyperbolic Space
IEEE Computer Graphics and Applications
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
GUESS: a language and interface for graph exploration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual exploration of multivariate graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
A probability ranking principle for interactive information retrieval
Information Retrieval
Liquid query: multi-domain exploratory search on the web
Proceedings of the 19th international conference on World wide web
Visualization of multi-domain ranked data
Search computing
Search computing
Efficient computation of search computing queries
Search computing
How to tame a very large ER diagram (using link analysis and force-directed drawing algorithms)
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Chapter 13: liquid queries and liquid results in search computing
Search Computing
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Search computing queries typically address search tasks that go beyond a single interaction. In this paper, we show a query paradigm that supports multi-step, exploratory search over multiple Web data sources. Our paradigm requires users to be aware of searching over "interconnected objects" with given semantics, but each exploration step is simplified as much as possible, by presenting to users at each step simple interfaces, offering some choices that can be supported by the system; choices include moving "forward", by adding new objects to the search, or "backward", by excluding some objects from the search; and the selection and de-selection of displayed results in order to dynamically manipulate the result set. For supporting exploration, we designed a new architectural element, called query orchestrator, which connects the user interface module with the execution engine; the orchestrator maintains the history of the query session and caches query results for reuse at subsequent interactions.