International Journal of Computational Intelligence Systems - Call for Papers: Flexible Query Answering in Intelligent Systems
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Title: Flexible Query Answering in Intelligent Systems
Guest Editors: Troels Andreasen, Guy De Tré, Janusz Kacprzyk, Henrik Legind Larsen,
Gloria Bordogna and Slawomir Zadrozny
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Motivated by the growing interest in the field of intelligent systems, as a follow up of the recent FQAS conference held in Bratislava, this special issue intends to collect extended contributions of the papers presented at the FQAS conferences, as well as novel and original research contributions focused on the themes of Flexible Query Answering Systems.
Query Answering Systems have the main objective of satisfying the needs of end-users to retrieve information contents they are interested in, including structured data typically managed in databases, unstructured and semi-structured texts in natural language such as Web documents typically managed by information retrieval systems and search engines, documents containing spatial and/or temporal information, multimedia documents containing audio, image and videos files, structured RDF data in the Semantic Web, social posts within social networks and, last but not least, natural language processing and knowledge-based answers. In such a varied context, developing new approaches to formulating queries that can be flexible enough to represent complex users’ needs in a rich environment provided by mobile devices, Internet of Things sensors etc., and at the same time, secure and proper interpretation by the systems is an important goal for the research.
FQAS is then at the cross-road of several research areas, such as information retrieval, database management, information filtering, knowledge representation, management of multimedia information, data mining and human-computer interaction.
Moreover, FQAS has explicit and implicit relations with the broadly perceived areas of data sciences, soft computing and more generally artificial intelligence. Model-based approaches founded on both computational intelligence methods and semantic web technologies, and data-driven approaches, based on machine learning and deep learning are being applied to improve human-system interaction.
The objective of the issue is to collect interesting and one-step forward methods of FQASs, and relevant related approaches, to inspire future research in the field. Contributions describing original and unpublished results of theoretical approaches, conceptual models, proof of concepts, and empirical and experimental studies related to Flexible Query Answering are relevant for the special issue.
Manuscript reporting successful applications of methods and techniques for Flexible Query Answering are also welcome. Editors of the special issue will invite authors of selected papers presented at the FQAS conference to submit an extended version of their work and also some leading researchers in the field to submit their contributions to the special issue.
Topics of interest include but are not limited to:
● Model-based Flexible Query Answering applying semantic Web, computational intelligence, logic approaches;
● Data-driven, clustering and Deep Learning Flexible Query Answering;
● Definition of novel methods for FQAS integrating model-based and Data-driven approaches;
● Flexible Query-by-example models and applications;
● Veracity handling in flexible query answering and coping with inconsistent, uncertain and imprecise data;
● FQAS in social networks for polarity detection, sentiment analysis, event detection, fake news detection, veracity assessment, etc.;
● Flexible Query Answering in database, and knowledge base systems;
● Flexible Query Answering on linked data and graph-structured data;
● Flexible Query Answering in unstructured and textual data;
● Flexible analytical queries in OLAP and Spatial OLAP;
● Procedural query answering;
● Path querying;
● Spatio-temporal flexible querying of georeferenced information;
● Flexible Query Answering in discovery services of geospatial data;
● Big Data synthesis and reduction for flexible query answering;
● Visual- Flexible Query Answering in multimedia databases;
● Flexible Query Answering by Mobile computing;
● Multimodal Flexible Querying;
● Augmented reality Flexible Querying and navigation
Important dates
Submission of papers: 31 January 2023 (extended!)
Notification of review results: 15 November 2022 (expected)
Submission of revised papers: 15 December 2022
Notification of final review results: 31 January 2023
Guest Editors:
Troels Andreasen, Dept. of People and Technology, Roskilde University, Denmark
Guy De Tré, Dept. of Telecommunication and Information Processing, Ghent University, Belgium
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Henrik Legind Larsen, Legind Technologies A/S, Denmark
Gloria Bordogna, IREA CNR, Milan, Italy
Slawomir Zadrozny, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland