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Fuzzy Systems and Data Mining VI


Proceedings of FSDM 2020

The interdisciplinary field of fuzzy logic encompass applications in the electrical, industrial, chemical and engineering realms as well as in areas of management and environmental issues, while data mining covers new approaches to big data, massive data, and scalable, parallel and distributed algorithms.

This book presents papers from the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020). The conference was originally due to be held from 13–16 November 2020 in Xiamen, China, but was changed to an online conference held on the same dates due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers academics and delegates from industry. This year, the committee received 316 submissions, of which 76 papers were selected for inclusion in the conference; an acceptance rate of 24%. The conference covers four main areas: fuzzy theory; algorithms and systems, which includes topics like stability; foundations and control; and fuzzy applications, which are widely used and cover various types of processing as well as hardware and architecture for big data and time series.

Providing a current overview of research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.

Editors: Tallón-Ballesteros, A.J.
Pages: 812
Binding: softcover
Volume 331 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-134-4
ISBN online: 978-1-64368-135-1

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Formal Ontology in Information Systems


Proceedings of the 11th International Conference (FOIS 2020)

FOIS is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization which promotes interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science, as well as in the applications of ontological analysis to conceptual modeling, knowledge engineering, knowledge management, information-systems development, library and information science, scientific research, and semantic technologies in general.

This volume presents the 17 papers accepted for the 11th Formal Ontology in Information Systems conference (FOIS 2020). These papers cover a broad range of topics and are organized into 5 groups. Foundations is dedicated to the general ontological decisions providing a foundation for any ontology, both from a philosophical perspective and with an emphasis on applications. Social Entities is dedicated to the ontological analysis and formalization of various social entities, including secrets, legal theories, decisions, kinship, and cultural heritage. The papers in Intentionality and Embodiment analyze aspects of an agent's intentions, beliefs and desires, as well as the embodiment of functional relations. The section on Parts and Wholes is dedicated to mereology as well as the mereological analysis of certain types of entities (e.g., pluralities, information entities, and computer programs). Lastly, the papers in Methods are about ontology evaluation and use.

Altogether, the papers reflect traditional FOIS themes with perhaps a greater emphasis on social and agent aspects, and will be of interest to all those whose work involves ontology and its applications.

Editors: Brodaric, B., Neuhaus, F.
Pages: 282
Binding: softcover
Volume 330 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-128-3
ISBN online: 978-1-64368-129-0

Modern Management based on Big Data I


Proceedings of MMBD 2020

The management of any modern organisation involves data, but the volume of information has become almost impossible for even the most up-to-date computer system to handle. Fortunately, big-data technologies are now enabling new ways of dealing with the flood of information, making an approximate solution possible in a reasonable time-frame, as an alternative to waiting for an exact result taking much longer.

This book contains the 17 papers presented at the inaugural conference of the new series: Modern Management based on Big Data (MMBD 2020). The conference was originally scheduled to be held in Beijing, China, but due to measures to prevent the spread of the COVID-19 pandemic, the conference was held online from 18-21 October 2020. As its name suggests, the conference covers the connected aspects of Big Data and Modern Management, and the 17 papers included here, accepted from a total of 68 submissions, cover topics including data capture and storage; search, sharing and analytics; data visualization; machine learning algorithms for big data; distributed file systems and databases; management strategy and decision making; manufacturing and logistics systems; total quality management; management information systems; human factor engineering; and human resources.

Providing an overview of current developments in modern management based on Big Data, the book will be of interest to all those working in the field.

Editors: Tallón-Ballesteros, A.J.
Pages: 200
Binding: softcover
Volume 329 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-120-7
ISBN online: 978-1-64368-121-4

Human Language Technologies – The Baltic Perspective


Proceedings of the Ninth International Conference Baltic HLT 2020

Human language technology is the study of the methods by which computer programs or electronic devices can analyze, produce, modify or respond to human texts and speech. It consists of natural language processing and computational linguistics on the one hand, and speech technology on the other.

This book presents the proceedings of the 9th International Conference, Human Language Technologies – The Baltic Perspective (Baltic HLT 2020), organised in Kaunas, Lithuania on 22 and 23 September 2020. This biennial conference offers researchers a platform to share knowledge on recent advances in human language processing for the Baltic languages, as well as promoting interdisciplinary and international cooperation in human language-technology research within and beyond the Baltic States. In addition to the traditional topics of natural language processing and language technologies, this year’s conference featured a special session on resource and tool development for teaching and learning the less resourced Baltic languages. This year, 42 submissions were received, each of which was evaluated by two reviewers, resulting in a total of 34 papers being accepted for presentation and publication. The book is divided into four sections: speech and text analysis (9 papers); machine translation and natural understanding (6 papers); tools and resources (14 papers); and language learning resources (5 papers).

Providing a fascinating overview of current research in the field from a primarily Baltic perspective, the book will be of interest to all those whose work involves human language technology.

Editors: Utka, A., Vaičenonienė, J. , Kovalevskaitė, J., Kalinauskaitė, D.
Pages: 280
Binding: softcover
Volume 328 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-116-0
ISBN online: 978-1-64368-117-7

Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques


Proceedings of the 19th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_20)

Software methodologies, tools and techniques have become an ever more important part of our lives, and are crucial to the decision-making processes that affect us every day.

This book presents papers from the 19th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT20), held in Kitakyushu, Japan from 22–24 September 2020. The SoMeT conferences bring together researchers and practitioners to share their original research results and experience of practical developments in software science and related new technologies, and this book explores new trends and theories that highlight the direction and development of intelligent software methodologies, tools and techniques. It covers newly developed techniques, enhanced methodologies, software related solutions and recently developed tools, as well as indicating the direction of future research, and the 40 revised papers included here have been selected by the SoMeT20 international reviewing committee on the basis of technical soundness, relevance, originality, significance, and clarity. The book is divided into 5 chapters: artificial intelligence techniques on software engineering, and requirement engineering; software methods for informatics, medical informatics and bio-medicine applications; applied software tools, techniques and related software engineering models; intelligent-software systems design, software quality, software evolution and validation techniques; and knowledge science and intelligent computing.

Providing an overview of the state-of-the-art in software science and its supporting technology, this book will be of interest to all those working in the field.

Editors: Fujita, H., Selamat, A., Omatu, S.
Pages: 496
Binding: softcover
Volume 327 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-114-6
ISBN online: 978-1-64368-115-3

ECAI 2020

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Computational Models of Argument


Proceedings of COMMA 2020

The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves.

The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI.

The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.

Editors: Prakken, H., Bistarelli, S., Santini, F., Taticchi, C.
Pages: 496
Binding: softcover
Volume 326 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-106-1
ISBN online: 978-1-64368-107-8

ECAI 2020


24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)

This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time.

A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision.

The book will be of interest to all those whose work involves the use of AI technology.

Editors: De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarín, A., Lang, J.
Pages: 3122 (4 parts)
Binding: softcover
Volume 324 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-100-9
ISBN online: 978-1-64368-101-6

Innovative Trends in Personalized Software Engineering and Information Systems


The Case of Intelligent and Adaptive E-learning Systems

This book, Innovative Trends in Personalized Software Engineering and Information Systems – The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of developing fully-automated adaptive software, mainly focusing on enhancing digital learning.

The authors cover several integral phases of software engineering and their application in the effective implementation of sophisticated learning technology systems. Systems development and systems evaluation, tailored to adaptive e-learning, are examined in depth. More specifically, intelligent and knowledge-based techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, pattern recognition, learning analytics and data mining, as well as evaluation frameworks adapted to digital learning software are presented.

This publication will be of interest to scientists from various disciplines, including computer science, artificial intelligence, education and psychology, and will help researchers working in computer science and engineering to build intelligent and adaptive learning technology systems by employing personalization techniques while following the basic concepts of software engineering and information systems. It will also serve as a valuable tool for junior and senior scientists, supporting their research activities in the field of personalized and knowledge-based software engineering, and instructors will be able to use the book as a guide to the effective design and development of intelligent systems in education.

Authors: Troussas, C., Sgouropoulou, C.
Pages: 104
Binding: softcover
Volume 324 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-096-5
ISBN online: 978-1-64368-097-2

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