Exploratory Query-log Analysis Workshop

This is one of several workshops at the Fourth Swedish Language Technology Conference, October 24-26, 2012, Lund. The Workshop Query logs have been the focus of mostly academic workshops and conferences. At the same time, with the upsurge in high quality search and user-interaction solutions in the enterprise world, companies have a ready access to (very often) large amount of log data. This data, however, whose core is often natural language queries, remains largely unexplored and neglected. The aim of this workshop is to show best practices and standards, new trends, potentials and techniques in order to analyze, draw conclusions, utilize and benefit from the data. The workshop is meant as a forum where people working in the field of Natural Language Processing and Machine Learning could share their ideas with representatives from the Enterprise world on the topic of query-log analysis. Workshop Organization The workshop will be introduced by Findwise. We will give a short description of how query logs are being currently used within Enterprise Search. The workshop will consist of 5 invited oral presentations. Each presentation will be allotted 15 min plus 5 minutes of questions. The workshop will conclude with 10-20 min of a brainstorming/discussion session where speakers, organizers and audience can participate and discuss the future trends of query-log analysis. Current Participants: • Findiwse AB (Gothenburg) • Dimitrios Kokkinakis & Ann-Marie Eklund (Gothenburg University) • Theodora Tsikrika (University of Applied Sciences Western Switzerland) • Fredrik Johansson, Tobias Färdig, Vinay Jethava, Devdatt Dudhashi (Chalmers University of Technology) • Rebecca Jonsson & David Hjelm (Artificial Solutions) • Frédérique Segond (Objet Direct) • Alternative speaker: Marina Santini Duration 2 hours List of organizers: Svetoslav Marinov svetoslav.marinov@findwise.com (Findwise) Paula Petcu paula.petcu@findwise.com (Findwise) Henrik Strindberg henrik.strindberg@findwise.com (Findwise)