3rd International Workshop on Exploratory Search in Databases and the Web(ExploreDB 2016)
When : 2016-07-01
Where : San Francisco, USA
Submission Deadline : 2016-04-01
Categories : Computer Science & Information Technology , Database Management Systems
3rd International Workshop on Exploratory Search in Databases and the Web(ExploreDB 2016)
July 1, 2016
San Francisco, USA .
Call For Papers
ExploreDB 2016 invites submissions of original research, practical experiences, evaluation results, or novel approaches and applications. Papers submitted should be at most six (6) pages long (including all references and figures). In addition, we welcome summaries of previous research relevant to the workshop as short paper submissions of up to three (3) pages long (including all references and figures). Papers of this kind outline work of the authors that has already been published in other venues, and highlight the relevant future directions. Finally, we accept position, outrageous-idea and vision papers of up to three (3) pages long (including all references and figures). Submissions should have their type mentioned within, as a title footnote (i.e., technical, summary or position paper).
Topics
- Exploration and analytics over large-scale datasets
- User interactive navigational search and exploration
- Exploratory search in relational, Web, XML, RDF, graph, multimedia, and spatial databases
- Novel ranking semantics for exploratory search
- Exploratory search via query recommendations, reformulation, auto-completion, type ahead search, and approximate query-answering
- Exploration of dynamic data and networks
- Heterogeneous data exploration
- Personalized data exploration
- Data exploration through visualization
- Exploration and analysis of massive social networks
- Complex object exploration in emerging Web applications
- Exploration and visualization of OLAP cubes
- Result presentation for data exploration, e.g., summarization, clustering, snippet generation
- Interfaces for supporting user-generated content and social interaction
- Declarative languages for exploration
- Exploratory problem solving
- Efficiency and optimization opportunities in data exploration