Special Issue on “New Trends in Humanistic Informatics: Implementations and Applications” (http://www.journals.elsevier.com/computers-and-electrical-engineering/call-for-papers/special-section-on-new-trends-in-humanistic-informatics)
Call for Papers:
The abundance of available data that is retrieved from or is related to the areas of Humanities 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, communication, creativity, way of thinking, reasoning, learning, decision making, socializing; 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, dynamic, time and space-dependent, and highly complicated. Translating humanistic information, e.g. behavior, state of mind, artistic creation and linguistic utterance, into numerical or categorical low-level data is a significant challenge on its own. New mining techniques, appropriate to deal with this type of data, need to be proposed and existing ones adapted to its special characteristics.
The proposed special issue aims to bring together interdisciplinary approaches that focus on the application of innovative as well as existing mining and knowledge discovery techniques (like decision rules, decision trees, association rules, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from Humanistic Sciences, e.g. linguistic, historical, behavioral, psychological, artistic, musical, educational, social etc.
Topics of interest:
- Humanistic & social data mining and interpretation - Cloud-based mining of humanistic data - Social data analytics - Supervised or unsupervised learning of humanistic knowledge - Knowledge discovery, representation and reasoning - Humanistic data-driven architectures, algorithms & applications - High-performance humanistic computing applications - Data visualization techniques - Heterogeneous data mining & fusion - Exploitation of contextual information in humanistic computing systems - Humanistic context modeling and extraction - Biomedical data mining - Computational intelligence for humanistic media adaptation and personalization - Privacy preserving humanistic data mining and social networks
Authors are invited to submit high-quality papers that falls within the topics of this special section. Submitted articles must not have been previously published or currently submitted for publication elsewhere. For work that has been published previously in a workshop or conference, it is required that submissions to the special issue have at least 40% new content/contribution. Submissions that do not meet these requirement will be rejected without review. Papers should be submitted via journal’s submission website and should adhere to standard formatting requirements. Authors are required to select article type "SI-hinf" for paper submission.
Spyros Sioutas, Associate Professor, Ionian University, Greece,
Email: sioutas at ionio.gr
Yannis Velegrakis, Associate Professor, University of Trento, Italy,
Email: velgias at disi.unitn.eu
Valia Kordoni, Professor, Humboldt-Universitšt zu Berlin, Germany,
Email: evangelia.kordoni at anglistik.hu-berlin.de
Prospective schedule of deadlines:
Paper submission deadline: November 15, 2016 Notification of the first review: January 15, 2017 Revised paper submission: February 5, 2017 Notification of acceptance: March 15, 2017 Final manuscript: May 15, 2017 Expected publication: November 2017