Extended versions of selected papers from the workshop will be peer reviewed for potential publication in high-impact Journal (to be announced soon)
The abundance of available data that is retrieved from or is related to the areas of Humanities and the human condition challenges the research community in processing and analyzing it. The aim is two-fold: on the one hand, to extract knowledge that will help understand human behavior, creativity, way of thinking, reasoning, learning, decision making, socializing and even biological processes; on the other hand, to exploit the extracted knowledge by incorporating it into intelligent systems that will support humans in their everyday activities.
The nature of humanistic data can be multimodal, semantically heterogeneous, dynamic, time and space-dependent, and highly complicated. Translating humanistic information, e.g. behavior, state of mind, artistic creation, linguistic utterance, learning and genomic information into numerical or categorical low-level data is a significant challenge on its own. New techniques, appropriate to deal with this type of data, need to be proposed and existing ones adapted to its special characteristics.
The workshop aims to bring together interdisciplinary approaches that focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (like decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of Humanistic Sciences, e.g. linguistic, historical, behavioral, psychological, artistic, musical, educational, social etc., Ubiquitous Computing and Bioinformatics.
Ubiquitous Computing applications (aka Pervasive Computing, Mobile Computing, Ambient Intelligence, etc.) collect large volumes of usually heterogeneous data in order to effect adaptation, learning and in general context awareness. Data matching, fusion and mining techniques are necessary to ensure human centred application functionality.
An important aspect of humanistics centers around managing, processing and computationally analyzing Biological and Biomedical data. Hence, one of the aims of this workshop will be to also attract researchers that are interested in designing, developing and applying efficient data and text mining techniques for discovering the underlying knowledge existing in Biomedical data, such as sequences, gene expressions and pathways.
The workshop topics include but are not limited to:
Paper submission deadline: April 29nd, 2014
Author notifications: May 29nd, 2014
Camera-ready submission deadline: June 2nd, 2014
Early registration deadline: June 17th, 2014
Workshop Date: September 20, 2014
All papers should be submitted through easychair (link to be announced soon). Papers should be submitted either in a doc or in a pdf form and they will be peer reviewed by at least 2 academic referees. Papers should not exceed 10 pages. Contributing authors must follow the Springer Lecture Notes in Computer Science (LNCS) instructions for authors (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Accepted papers will be presented orally in the conference for 20 minutes and they will be published in the Proceedings of the main event.
Registration fees and benefits for the workshops' participants are exactly identical with the ones of the main AIAI 2014 event.