ESIDA 2018 - 2nd ACM IUI Workshop on Exploratory Search and Interactive Data Analytics

In recent years, retrieval techniques operating on text or semantic annotations, have become the industry standard for retrieval from large data collections, such as documents, images, videos, music, medical data. This approach works well with sufficient high-quality meta-data or tagging. However, with the explosive growth of big data collections, it has become apparent that tagging new data quickly and efficiently is not always possible. Secondly, even if instantaneous high quality data tagging were possible, there would still be many instances, where search by keyword query is problematic. For example, in the case of image retrieval it might be easier for a user to define their query if they are looking for an image of a cat, but how would they specify that the cat should be of a particular shade of ginger with sad looking eyes? A solution to these problems is active engagement of the user in the information retrieval loop, thus enabling the user to not only explore a given dataset more easily but also gradually direct their search to a more specific area of the search space .
The aim of this workshop is to explore new methods and interface/system design for interactive data analytics and management in various domains, including specialised text collections (e.g. legal, medical, scientific), multimedia, and bioinformatics, as well as for various tasks, such as semantic information retrieval, conceptual organization and clustering of data collections for sense making, semantic expert profiling, and document/multimedia recommender systems.
We invite submissions in all areas of interactive data analytics and information retrieval, such as:
data visualisation for exploratory and investigative analysis
interactive classification and clustering of data
(semi-supervised) document summarization and classification
curation and validation of the analysis process, and generation of data visualisations
author and document collection semantics
user engagement in the semantic analysis process via suitable annotation and correction tools
study of the trade-off between accuracy of the results and user effort
evaluation methods for exploratory and interactive data analytics systems
personalisation and user modelling related exploratory and interactive data analytics system design
Submissions aimed at solving practical problems in specific application domains are especially welcome, including but not limited to:
digital libraries
legal document management
personalized online learning systems
news media
biomedical data
multimedia collections, including images, videos and music
specialised image and video collections, e.g. medical images