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 nonspecialized 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.
The session continues the series of special sessions on the topic organized by some of the organizers of this session in past conferences (IFSA 2015, FUZZ-IEEE 2015).
Topics of interest include, but are not restricted to:
- 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 languageb generation.
Important dates: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
Instructions for authors, submission and more details in the Conference website: http://www.wcci2016.org/
Accepted papers to this special session (if presented at the Conference) will be published in the conference proceedings of FUZZ-IEEE published by the IEEE.
Organizers:Nicolas Marin. Department of Computer Science and Artificial Intelligence, University of Granada
Daniel Sanchez. Department of Computer Science and Artificial Intelligence, University of Granada.
Anna Wilbik. Information Systems, School of Industrial Engineering, Eindhoven University of Technology e-mail: firstname.lastname@example.org
Rui Jorge Almeida. Information Systems, School of Industrial Engineering, Eindhoven University of Technology. e-mail: email@example.com