Linguistic summaries and descriptions of data aim to extract and represent knowledge in the form of a collection of natural language sentences. The objective is to obtain a text, as if it was produced by a human expert, describing the most relevant aspects of data for a certain user in a specific context. Automatic generations of data summaries have gained increased relevance with the advent of possibilities to store and acquire data as well as relations between them. In this realm, not only specialized users (e.g. in decision support systems) are interested in this type of approach, but non-specialized users also show interest in receiving understandable information that is supported by data. Linguistic summaries commonly use fuzzy set theory to model linguistic variables and incorporate different forms of imprecision in a collection of natural language sentences. In many approaches they can be considered as quantifier based sentences, hence linguistic summaries constitute a perfect application for new developments in the domain of fuzzy quantifiers. Furthermore, linguistic summaries have been related to fuzzy rule systems.
Linguistic summaries and description of data is related to other research areas such as knowledge discovery in databases and intelligent data analysis, flexible query answering systems for data, human-machine interaction, uncertainty management, heuristics and metaheuristics, natural language generation or processing. More recently, this field has been related to different paradigms, namely the linguistic description of complex phenomena and computing with words paradigms.
The objective of this special session is to provide a forum for researchers, from the above indicated areas, to present recent developments in linguistic summarizes and description of data as well as discuss how these different approaches can complement each other for the task of building such systems.
You can download the CFP in PDF here.
- Protoforms and fuzzy concepts for the linguistic summaries and fuzzy description.
- Quality assessment of linguistic summaries and fuzzy description.
- Techniques and algorithms for generating linguistic summaries and descriptions of data.
- Ontologies for data summarization.
- Logical approaches for modeling linguistic expressions.
- Modeling uncertainty for linguistic summaries and fuzzy description.
- User preference/interest modeling for linguistic summaries and fuzzy description.
- Applications of linguistic summaries and fuzzy description.
- Natural language generation for data summarization.
- Machine Learning applied to data summarization.
- Linguistic information extraction from visual information.
- Context-awareness in data summarization and description, and natural language generation.
Topics of interest include, but are not restricted to:
- Paper submission: January 15th, 2016
- Notification of acceptance: March 15th, 2016
- Final paper submission: April 15th, 2016
- Early registration deadline: April 15th, 2016
- Conference: July 25-29, 2016
- Alberto Bugarín, Universidade de Santiago de Compostela, Spain.
- Albert Gatt, University of Malta, Malta.
- James M. Keller, University of Missouri, USA.
- Vilém Novák, University of Ostrava, Czech Republic.
- François Portet, Laboratoire d'informatique de Grenoble (LIG), France.
- Sabrina Senatore, Università degli Studi di Salerno, Italy.
- Andrea Tettamanzi, Université Nice Sophia Antipolis, France.
- Ronald R. Yager, Iona College, USA.
- Slawomir Zadrozny, Polish Academy of Sciences, Poland.
- Nicolas Marin. Department of Computer Science and Artificial
Intelligence, University of Granada (e-mail: email@example.com).
Nicolas Marin received the M.S. and Ph.D. degrees in computer science, both from the University of Granada, Spain, in 1998 and 2001, respectively. Since 2005 he is Associate Professor at the Department of Computer Science and Artificial intelligence of the University of Granada. He has participated in the teams of ten research projects, including two projects in the area of Linguistic Description of Data that he has led. He has published about 100 papers in international journals and conferences. He has co-edited several special issues in the area of Intelligent Databases and Information Systems and Linguistic Description of Data, and organized several special sessions on these topics in national and international conferences. He has been advisor of four Ph.D. Thesis in these fields.
- Daniel Sanchez. Department of Computer Science and Artificial
Intelligence, University of Granada (e-mail: firstname.lastname@example.org
Daniel Sanchez received the M.S. and Ph.D. degrees in computer science, both from the University of Granada, Spain, in 1995 and 1999, respectively. Since 2001 he is Associate Professor at the Department of Computer Science and Artificial intelligence of the University of Granada. He has participated in the teams of more than ten research projects, including two national project in the area of Linguistic Description of Visual Information that he has led. He has published more than 100 papers in international journals and conferences, 35 of them in indexed journals (SCI-JCR). He has co-edited with Nicolas Marin an special issue in Fuzzy Sets and Systems about "Generating Linguistic Descriptions of Time Series". He has organized several workshops and special sessions about Soft Computing and Applications in Linguistic Description, Data Mining and Computer Vision in national and international conferences, and has been advisor of six Ph.D. Thesis in these fields. He is currently one of the coordinators of the DAMI Working group on Data Mining and Machine Learning of EUSFLAT (European Society for Fuzzy Logic and Technology).
- Anna Wilbik. Information Systems, School of Industrial Engineering, Eindhoven University of Technology (e-mail: email@example.com) Anna Wilbik received the Ph.D. degree in computer science from the Systems Research Institute, Polish Academy of Science, Warsaw, Poland, in 2010. She is currently an Assistant Professor with the Information Systems Group of the School of Industrial Engineering at the Eindhoven University of Technology. She is alumnus of TOP500 Innovators: Science - Management - Commercialization Program. In 2011, she was a Post-doctoral Fellow with the Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA. Her research interests include linguistic summaries, data analysis, machine learning, and computational intelligence. He has published about 50 papers in international journals and conferences and was part of organization of a few conferences in the area of IT and computational intelligence.
- Rui Jorge Almeida. Information Systems, School of Industrial Engineering, Eindhoven University of Technology (e-mail: firstname.lastname@example.org). Rui received his 5 year degree and M.Sc. in Mechanical Engineering both from Instituto Superior Técnico, Universidade de Lisboa, Portugal, in 2005 and 2006 respectively. In 2014 he received is PhD in Econometrics from the Erasmus University of Rotterdam. Since 2013 Rui joined the Information Systems Group of the School of Industrial Engineering at the Eindhoven University of Technology, as an assistant professor. During his PhD, Rui received several grants to perform short term research visits, including an IEEE-CIS Walter Karplus Student Research Grant in 2012 for a short term research visit at Laboratoire d'Informatique de Paris 6, Université Pierre et Marie Curie, France, where he worked on linguistic summaries of patient data to detect medical events. Rui has also been part of the organization of several special sessions, workshops and conferences on international level in the area of financial engineering and soft computing.