SS_25 : Fuzziness in knowledge-based engineering systems
Hajer Baazaoui, Umberto Straccia and Mourad Abed
February 10, 2017 EXTENDED deadline for paper submission
March 10, 2017 Notification of acceptance for papers
April 8, 2017 Deadline for camera-ready paper submission
April 10, 2017 Deadline for early registration
July 9-12, 2017 Conference
Fuzzy set theory is the subject of deep investigation in fields such as engineering systems and related applications. Typically, these fields are interdisciplinary with a wide range of theory and methodologies that are being investigated and developed.
Ontologies have been started to be considered to represent the knowledge in many domains. Their fuzzy counterpart, i.e., fuzzy ontologies, are defined as an extension of crisp ontologies by adding a set of membership degrees to each concept of the domain ontology and adding fuzzy relations among these fuzzy concepts.
The main scope of this call is about fuzzy knowledge-based/ontology-based engineering systems and their application.
Scope and main topics
The aim of this session is to promote both theoretical and practical applications of fuzzy and intelligent systems. The main topics of this special session include, but are not limited to:
- Fuzziness in Semantic Web Languages and Applications
- Fuzziness and knowledge-based approaches in Web Search and Information Retrieval and Applications
- Fuzziness and knowledge-based approaches in Decision Process, Decision Making and Applications
- Fuzziness and knowledge-based approaches in Smart Societies, Smart Cities and Applications
- Fuzziness and knowledge-based approaches in Data Mining, Machine Learning and Applications
- Fuzzinness and Social Network Analysis
- Fuzzinness and personalized interactive system
Short biography of the organizers
She obtained her PhD in computer science from the National School of computer sciences in 2005 and accreditation to supervise research in 2014. Her main research interests are fuzzy logic for the knowledge management and ontologies. She has several refereed publications, including journal papers and book chapters.
He received a Ph.D. in computer science from the University of Dortmund. His research interests include fuzzy logic, knowledge representation and reasoning, semantic web languages, machine learning, and decision making.
Professor (Exceptional Class) in Computer Engineering at the University of Valenciennes and member of the Human-Computer Interaction and Automated Reasoning research group in the LAMIH (Laboratory of Industrial and human Automation, Mechanics and Computer Science)
Has obtained his Ph.D in 1990 and HDR in 2001. He is interested at the research topics software engineering for interactive systems, Context-Aware MDA-Ontology approach, fuzzy theory applied to social networks and intelligent interaction, information system for design transport and logistics networks.