DETAILED CONFERENCE PROGRAM

12th Joint Conference on

Knowledge-Based Software

Engineering

UNIVERSITY OF PIRAEUS, GREECE

NIPPON INSTITUTE OF TECHNOLOGY, JAPAN

IONIAN UNIVERSITY, GREECE

JCKBSE 2018 CHAIRS’ MESSAGE

elcome to the 2018 Joint Conference on Knowledge-based Software Systems

(JCKBSE2018).

This booklet summarizes the works and new research results presented at the 12th

Joint

Conference on Knowledge-based Software Engineering (JCKBSE 2018), which took place in August

27-30, 2018 on the island of Corfu, Greece. JCKBSE is a well-established international biennial

conference that focuses on the applications of Artificial Intelligence on Software Engineering. The

12th

Joint Conference on Knowledge-based Software Engineering (JCKBSE 2018) was organized by

the Department of Informatics of the University of Piraeus, the Department of Computer and

Information Engineering of Nippon Institute of Technology and the Department of Informatics of

the Ionian University. It was the third time that a JCKBSE took place in Greece.

This year, pretty much like every year, the majority of submissions originated from Japan, while

Greece was second. The submitted papers were rigorously reviewed. Finally, 26 papers were

accepted for presentation at the JCKBSE2018 and inclusion in its Proceedings. The papers accepted

for presentation in JCKBSE2018 address topics such as the following:

• Architecture of knowledge-based systems, intelligent agents and softbots

• Architectures for knowledge-based shells

• Automating software design and synthesis

• Decision support methods for software engineering

• Development of multi-modal interfaces

• Development of user models

• Development processes for knowledge-based applications

• Empirical /evaluation studies for knowledge-based applications

• Intelligent user interfaces and human-machine interaction

• Internet-based interactive applications

• Knowledge acquisition

• Knowledge engineering for process management and project management

• Knowledge management for business processes, workflows and enterprise modeling

• Knowledge technologies for semantic web

• Knowledge technologies for service-oriented systems, Internet of services and Internet of

things

• Knowledge technologies for web services

• Knowledge-based methods and tools for software engineering education

• Knowledge-based methods and tools for testing, verification and validation, maintenance

and evolution

• Knowledge-based methods for software metrics

• Knowledge-based requirements engineering, domain analysis and modeling

• Methodology and tools for knowledge discovery and data mining

• Ontologies and patterns in UML modeling

• Ontology engineering

• Program understanding, programming knowledge, modeling programs and programmers

W

• Software engineering methods for Intelligent Tutoring Systems

• Software life cycle of intelligent interactive systems

• Software tools assisting the development

In addition to technical paper presenters, in JCKBSE2018 we had the following distinguished

researchers as keynote speakers:

1. Prof.-Dr. Demetra Evangelou, Democritus University of Thrace, Greece

2. Prof.-Dr. Fumihiro Kumeno, Nippon Institute of Technology, Japan

3. Prof.-Dr. George A. Tsihrintzis, University of Piraeus, Greece

4. Prof.-Dr. Lefteri Tsoukalas, University of Thessaly, Greece, and Purdue University, USA

5. Prof.-Dr. Maria Virvou, University of Piraeus, Greece

We would like to thank Prof.-Dr. Lakhmi C. Jain both for acting as Honorary Chair of

JCKBSE2018 and for agreeing to publish the JCKBSE2018 proceedings in the form of a volume in the

Smart Innovation, Systems and Technology series of Springer, which he edits.

We also would like to thank the authors for choosing JCKBSE2018 as the forum for presenting

the results of their research. Additionally, we would like to thank the reviewers for taking the time

to review the submitted papers rigorously. For putting together the website of JCKBSE2018, we

would like to thank Mr. Ari Sako. For managing the conference administration system and

coordinating JCKBSE2018, we would like to thank Easy Conferences Ltd., Nicosia, Cyprus. Finally,

we would like to thank the Springer personnel for their wonderful job in producing these

proceedings.

THE JCKBSE2018 GENERAL CHAIRS

George A. Tsihrintzis, University of Piraeus, Greece

Andreas Floros, Ionian University, Greece

Fumihiro Kumeno, Nippon Institute of Technology, Japan

THE JCKBSE2018 PROGRAM CHAIRS

Maria Virvou, University of Piraeus, Greece

Fumihiro Kumeno, Nippon Institute of Technology, Japan

Konstantinos Oikonomou, Ionian University, Greece

STEERING COMMITTEE

• Christo Dichev, Winston-Salem University, USA

• Pavol Navrat, Slovak University of Technology, Slovakia

• Atsushi Ohnisi, Ritsumeikan University, Japan

• Vadim Stefanuk, IITP Russian Academy of Sciences, Russia

• Shuichiro Yamamoto, Nagoya University, Japan

HONORARY CHAIR

• Lakhmi C. Jain, University of Technology, Sydney, Australia

CONFERENCE CHAIRS

• George A. Tsihrintzis, University of Piraeus, Greece

• Andreas Floros, Ionian University, Greece

• Fumihiro Kumeno, Nippon Institute of Technology, Japan

PROGRAM CHAIRS

• Maria Virvou, University of Piraeus, Greece

• Fumihiro Kumeno, Nippon Institute of Technology, Japan

• Konstantinos Oikonomou, Ionian University, Greece

CONFERENCE ORGANIZING COMMITTEE

• Marios Poulos, Ionian University, Greece

• Efthimios Alepis, University of Piraeus, Greece

• Katia Kermanidou, Ionian University, Greece

PUBLICITY CHAIRS

• Hiroaki Hashiura, Nippon Institute of Technology, Japan

• Costas Patsakis, University of Piraeus, Greece

• Aggeliki Tsochou, Ionian University, Greece

FINANCE CHAIRS

• Petros Stratis, Easy Conferences LTD.

• Evangelos Sakkopoulos, University of Piraeus, Greece

PROGRAM COMMITTEE

Alepis, Efthimios University of Piraeus Greece

Aman, Hirohisa Ehime University Japan

Apostolou, Dimitris University of Piraeus Greece

Fukazawa, Yoshiaki Waseda University Japan

Hashiura, Hiroaki Nippon Institute of Technology Japan

Hazeyama, Atsuo Tokyo Gakugei University Japan

Iijima, Tadashi Keio University Japan

Iwata, Hajime Kanagawa Institute of Technology Japan

Iwata, Hajime Kanagawa Institute of Technology Japan

Kimura, Kosaku Fujitsu Labs Japan

Matsuura, Saeko Shibaura Institute of Technology Japan

Nakatani, Takako The Open University of Japan Japan

Ogata, Shinpei Shinshu University Japan

Sakurai, Kohei Kanazawa University Japan

Saruwatari, Takuya NTT Japan

Shirogane, Junko Tokyo Woman's Christian University Japan

Sotiropoulos, Dionisios University of Piraeus Greece

Takeuchi, Hironori Musashi University Japan

Washizaki, Hironori Waseda University / NII / SYSTEM

INFORMATION / eXmotion Japan

Yaegashi, Rihito Kagawa University Japan

Yamaguchi, Takahira Keio Univ Japan

PROGRAM AT A GLANCE

TIME MONDAY

27 AUGUST 2018

08:00-08:45 REGISTRATION

08:45-09:00 OPENING SESSION

09:00-10:00 KEYNOTE-1

10:00-10:30 COFFEE BREAK

10:30-12:30 SESSION-1

12:30-14:00 LUNCH

14:00-15:30 SESSION-2

TIME TUESDAY

28 AUGUST 2018

08:00-08:45 ------

08:45-09:00 ------

09:00-10:00 KEYNOTE-2

10:00-10:30 COFFEE BREAK

10:30-12:30 SESSION-3

12:30-14:00 LUNCH

14:00-15:30 SESSION-4

TIME

WEDNESDAY

29 AUGUST 2018

08:00-08:45 ------

08:45-09:00 ------

09:00-10:00 KEYNOTE-3

10:00-10:30 COFFEE BREAK

10:30-12:30 SESSION-5

12:30-14:00 LUNCH

14:00-16:00 SESSION-6

17:30-22:00

VISIT TO ASIAN ART

MUSEUM AND

BANQUET

TIME

THURSDAY

30 AUGUST 2018

08:00-08:45 ------

08:45-09:00 ------

09:00-10:00 KEYNOTE-4

10:00-10:30 COFFEE BREAK

10:30-12:30 SESSION-7

12:30-14:00 LUNCH

14:00-15:00 KEYNOTE-5

15:00-15:30 CLOSING SESSION

INVITED KEYNOTE SPEAKERS

Monday, 27 August 2018, 09:00-10:00

Maria Virvou, Professor of Software Engineering, Director of Software Engineering Lab, University of Piraeus, Greece

Title: Revisiting the Role of Artificial Intelligence in Education Abstract: Artificial Intelligence has long been employed for educational purposes, mainly in the so-called area of Intelligent Tutoring Systems. Past criticisms of this use included the high development cost of complex intelligent educational systems, limited existence of extensive evaluations of educational effectiveness, difficulties for wide availability of such systems etc. Such criticisms led to the preconception that artificial intelligence in education is in the process of research and cannot be widely applicable to schools and educational organisations. However, recent developments in the adaptivity of the web, learner analytics, games, multimedia and social media have facilitated the incorporation of Artificial Intelligence techniques in Education and extensive evaluations have been conducted. As such, nowadays, there is a maturity of AI in Education research that can lead to effective applicability. This talk will present and discuss research challenges and effective approaches towards the new role of Artificial Intelligence in educational software. Τhe research advancements that have been achieved in the software engineering lab of our department will be reviewed and discussed, including the use of multiple modalities of interaction, in conjunction with contextual information, the users’ cognitive status, reasoning, social classmate behaviour, preferences and emotions. A diversity of paradigms of Intelligent Tutoring Systems, fully developed and evaluated in our lab, will be presented and discussed in the context of virtual reality educational games, social network, mobile and multi-modal learning, based on the combination of cognitive theories about human reasoning and emotions, machine learning algorithms, decision making theories and fuzzy logic. The talk will conclude by highlighting open research areas for further research.

Short bio:

Prof. MARIA VIRVOU was born in Athens, Greece. She received a B.Sc. Degree in Mathematics from the University of Athens, Greece, a M.Sc. Degree in Computer Science from the University College London, U.K. and a Ph.D. Degree in Computer Science and Artificial Intelligence from the University of Sussex, U.K.

She is a FULL PROFESSOR, DIRECTOR OF POST- GRADUATE STUDIES, DIRECTOR OF THE SOFTWARE ENGINEERING LAB and former HEAD OF THE DEPARTMENT in the

Department of Informatics, University of Piraeus, Greece. She is AUTHOR/CO-AUTHOR of over 350 research papers published in international journals, books and conference proceedings and of 7 books and monographs in Computer Science published by Springer and other publishers. She has been EDITOR of over 20 collections of papers in conference proceedings or books, published by major academic publishers, such as IEEE, Springer and IOS Press. Many such collections have been among the most downloaded books of the respective publishers summing up in over 50.000 downloads. She has also been EDITOR-IN-CHIEF of the SpringerPlus Journal (Springer) for the whole area of Computer Science. Additionally, she has been an ASSOCIATE EDITOR of the Knowledge and Information Systems (KAIS) Journal (Springer) and MEMBER OF THE EDITORIAL BOARD of the International Journal on Computational Intelligence Studies (Inderscience). She has been GENERAL CO-CHAIR of the yearly conference series of International Conference on Information, Intelligence, Systems and Applications (IISA 2018, 2017, 2016, 2015, 2014, 2013), technically-sponsored by IEEE, which aims at promoting research in the area of interactive multimedia and major applications such as e-learning and m-learning. She has been the GENERAL CHAIR / PROGRAM CHAIR of over twenty (20) International Conferences. Among them, she was GENERAL CHAIR / PROGRAM CHAIR of seven annual International Conferences on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-2014, 2013, 2012, 2011, 2010, 2009, 2008).She has been the PRINCIPAL INVESTIGATOR or CO-INVESTIGATOR of numerous national / international research projects. She has supervised 15 Ph.D. theses which have been completed successfully and many of her former Ph.D. students hold academic positions in Universities. She is currently supervising 5 Ph.D. students and 5 post-doctoral researchers. Many journal articles of hers have been ranked among the most cited/downloaded papers of the respective journals where they have been published. She has been a recipient of many best paper awards in international conferences. She has been an invited keynote speaker for many international conferences. According to Microsoft Academic Search, she has been ranked as 52 in the top 100 authors out of 58000 authors worldwide in the area of Computers and Education.

Her research interests are in the area of Computers and Education, Artificial Intelligence in Education, user and student modeling, e-learning and m-learning, Knowledge-Based Software Engineering and Human-Computer Interaction.

Tuesday, 28 August 2018, 09:00-10:00

Lefteri Tsoukalas, Fellow of the American Nuclear Society, Professor of Knowledge-based Engineering Systems, Purdue University, USA and the University of Thessaly, Greece

Title: AI and Anticipation in Knowledge-Based Systems

Abstract:

The theory of anticipatory systems, as proposed by the late Robert Rosen, provides a critique of modern systems theory, which entails and calls for a fundamental paradigmatic shift in established notions of causality. Although anticipation is ubiquitous in daily applications of human cognition, automated approaches find it difficult, if not impossible, to implement anticipatory algorithms and therefore may question the need and efficacy of an anticipatory framework. Recent advancements in network computing and a renewed interest in AI present us with a fresh view and enhanced role and potential for anticipation. In knowledge representation new vistas are possible for effective control of modeling complexity and the automatic generation of models on the basis of anticipatory characterizations and criteria. We will review the long history of anticipatory systems from Aristotle to Rosen and analyze the role of anticipation in reaching for near-optimal or parsimonious representations and the overall benefits that may ensue from the broad applicability of these approaches.

Short bio:

Prof. LEFTERI H. TSOUKALAS holds a PhD from the University of Illinois at Urbana-Champaign (1989) along with considerable engineering experience in intelligent systems applications to power networks. He has held faculty appointments as professor and head of the School of Nuclear Engineering at Purdue University as well as at the University of Thessaly, Tohoku University, the University of Tennessee and Aristotle University. Dr. Tsoukalas has three decades of experience in developing smart instrumentation and control methodologies with over 300 research publications in the area including a book titled “Fuzzy and Neural Approaches in Engineering,” (John Wiley & Sons, New York, 1997). Dr. Tsoukalas has served in advisory and consulting positions for the International Atomic Energy Agency (IAEA); the Agency for Science, Technology and Research (ASTAR) of the Government of Singapore; and the US Department of Energy. Dr. Tsoukalas is a Fellow of the American Nuclear Society and the 2009 recipient of the Humboldt Prize, Germany’s highest honor for international scientists.

Wednesday, 29 August 2018, 09:00-10:00

Demetra Evangelou, Professor of Developmental Engineering, Democritus University of Thrace, Greece

Title: Learning, Knowledge and Development in the Digital Era

Abstract:

Well into the second decade of the 21st century our contemporary approach to definitions of knowledge, learning and development are undergoing significant revisions and enhancements. The need arises principally because of the perceived gap between our minds and the ways our minds produce technological artifacts. The general anthropomorphic paradigm of previous eras under which the relation between minds and artifacts evolved is perceived as no longer adequate. The Digital Era calls for a critical examination of fundamentals. The parallel paths traveled by the dichotomous nature that was established at the onset of structured and systematic ways of knowing, the dualities that have kept us informed, happy and ever advancing are currently facing a growing number of questions and challenges that can no longer be ignored. Aspiring to a conversation between the maker and the machines of his/her making begins with the examination of what constitutes learning, what we define as such as well as the corollary notions of human development and change.

Short bio:

Prof. DEMETRA EVANGELOU has research and policy experience in educational research and policies that lead to the advancements of technological and scientific literacy. She is credited with introducing the concept of Developmental Engineering, a new area of research and education that explores engineering and human development. In 2011 she was awarded by President Obama the Presidential Early Career Award for Scientists and Engineers (PECASE) which is the “the highest honor bestowed by the US Government on Science and Engineering professionals in the early stages of their independent research career.” The award citation read “for outstanding research into how early experiences can lead children to pursue engineering later in life and for working with teachers from diverse schools to develop new teaching materials and methods that can help students become innovative and more technologically literate.” Prof. Evangelou is actively involved in research including, but not limited to, early childhood antecedents of engineering thinking, developmental factors in engineering pedagogy, technological literacy and human-artefact interactions. She holds a PhD from the University of Illinois at Champaign-Urbana and is a member of several scientific and professional societies, including the Sigma Xi Science Honor Society. In 2009 she was awarded the prestigious NSF CAREER Award.

Thursday, 30 August 2018, 09:00-10:00

Fumihiro Kumeno, Professor in Software and Requirements Engineering, Nippon Institute of Technology, Japan

Title: The Trend of Practical Software Engineering Education at Academic Institutions in Japan

Abstract: Practical education and training for software development is essential for software engineering education at academic institutions. Many Japanese universities and colleges adopt project-based courses because project-based learning (PBL) is widely recognized as an effective method to learn practical software development. A large-scale practical education program for software technologies has been conducted as a national project in Japan. In this talk, an overview will be presented of the large-scale education program in Japan. A report will be presented of the practice of the real client software development project course. In this course, student teams treat local organizations as real clients and each team develops software systems to solve their client's problems.

Short bio:

FUMIHIRO KUMENO is a Professor in the Department of Information Technology and Media Design, Nippon Institute of Technology, Japan. He is also a steering member of the practical IT education program by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of the Japanese Government.

Thursday, 30 August 2018, 14:00-15:00

George A. Tsihrintzis, Professor of Pattern Recognition and Machine Learning, Head of the Informatics Department, University of Piraeus, Greece

Title: Machine Learning Methodologies in Automated Recommendation

Abstract:

Classification is a very common supervised machine learning task, in which a piece of data needs to be assigned by the learning algorithm to one of a given number of potential classes of origin. More specifically, in classification, the machine is given a set of training samples for each of which the class of origin is known. The machine is then asked to learn inductively from the given samples and generalize into a rule for assigning data into classes of origin that allows it to classify samples other than the ones used for training. It is the usual assumption of the binary classification problem that the number of training samples available from one class is comparable to the number of training samples available from the other class. However, it is not uncommon in certain applications for the number of training samples from one class to be significantly higher than the number of training samples from the other class. For example, users of recommender systems are very willing to provide examples (samples) of items they like, but are reluctant to provide samples of items they do not like. Similarly, in a protected system, the number of samples of intruders may be relatively limited, while the number of available samples of allowed/legal users may be quite high. Classification problems with class imbalance arise in nature as well. For example, the immune system in vertebrate organisms needs to be able to discriminate between self cells and other antigens, so as to respond accordingly. A high number of samples from the class of self cells are available to train the immune system. On the other hand, the class of antigens is very broad, including cancer cells, cells from other organisms, molecules and other intruding substances, viruses, bacteria, and parasitic worms. The number of available training samples from the class of antigens is very limited when compared to the size and diversity of this class.

The imbalance in the number of samples from each class affects the performance of traditional binary classifiers. Indeed, in probabilistic terms, classification problems in which training samples from one class are significantly higher in number than training samples from the other class result in significantly uneven prior probabilities of the two classes. The class from which a higher number of samples is available (target class) will have higher prior probability, while the class from which only a limited number of samples is available (outlier class) will have much lower prior probability. In turn, this affects the posterior probabilities of a sample coming from one or the other class. As a result, a binary classifier will erroneously tend to decide more often that an unknown sample comes from the target class than from the outlier class. In recommender system applications, this would

mean that the system would tend to recommend items that the user might not like. Similarly, in a protected system, intruders and other threats might not be recognized.

In this presentation, we will discuss one-class classification problems, i.e., classification problems with extreme class imbalance and investigate the applicability of one-class classification methodologies in the design of automated recommendation methodologies and their incorporation in recommender systems.

Short bio:

GEORGE A. TSIHRINTZIS is Full Professor in the University of Piraeus, Greece and Head of its Department of Informatics. He received the Diploma of Electrical Engineer from the National Technical University of Athens, Greece (with honors) and the M.Sc. and Ph.D. degrees in Electrical Engineering from Northeastern University, Boston, Massachusetts, USA. His current research interests include Pattern Recognition, Machine Learning, Decision Theory, and Statistical Signal Processing and the applications of the above in Multimedia Interactive Services, User Modeling, Knowledge-based Software Systems, Human-Computer Interaction and Information Retrieval. He has authored or co-authored over 300 research publications in these areas, which include 5 monographs and 16 edited volumes. He is the recipient/co-recipient of three best paper awards and he has served as keynote speaker in several international conferences. He is the Editor-in-Chief of the International Journal of Computational Intelligence Studies (Inderscience) and the Intelligent Decision Technologies Journal (IOS Press). He is also founder and editor-in-chief (along with Profs. Maria Virvou, University of Piraeus, and Lakhmi C. Jain, University of Technology-Sydney, Australia) of the new book series on Learning and Analytics in Intelligent Systems (Springer).

TECHNICAL PAPER PRESENTATION SCHEDULE

MONDAY, AUGUST 27

08:00 - 8:45 Registration

8:45 - 9:00 Opening Session

9:00 - 10:00 Keynote – 1 Maria Virvou

10:00 - 10:30 Coffee Break

10:30 - 12:30

Session Chair:

Takako Nakatani

Session -1: Requirements Engineering

� 10:30-11:00 Ripple Effect Analysis Method of DFD in Modifying Data Flow

Requirements

Atsushi Ohnishi, Takayuki Omori, Jo Heayyoung

� 11:00-11:30 Analysis of Specification in Japanese using Natural Language

Processing

Kozo Okano, Kazuma Takahashi, Shinpei Ogata, Toshifusa Sekizawa

� 11:30-12:00 Requirements Exploration by Comparing and Combining Models

of Different Information Systems

Haruhiko Kaiya, Kazuhiko Adachi, Yoshihide Chubachi

� 12:00-12:30 Estimation of Business Rules using Association Analysis

Takuya Saruwatari, Akio Jin, Daisuke Hamuro, Takashi Hoshino

12:30 – 14:00 Lunch Break

14:00 - 15:30

Session Chair:

Takahira Yamaguchi

Session – 2: Intelligent Systems - 1

� 14:00-14:30 Deriving Successful Factors for Practical AI System Development

Projects using Assurance Case

Hironori Takeuchi, Shiki Akihara, Shuichiro Yamamoto

� 14:30-15:00 Improved Searchability of Bug Reports Using Content-based

Labeling with Machine Learning of Sentences

Yuki Noyori, Hironori Washizaki, Yoshiaki Fukazawa, Hideyuki Kanuka, Keishi

Ooshima, Ryosuke Tsuchiya

� 15:00-15:30 A Fast Learning Recommender Estimating Preferred Ranges of

Features

Takuya Watanabe, Yuji Nakazato, Hiroaki Muroi, Takuya Hashimoto, Toru Shimogaki,

Takeshi Nakano, Tsutomu Kumazawa

TUESDAY, AUGUST 28

9:00 - 10:00 Keynote – 2 Lefteri Tsoukalas

10:00 - 10:30 Coffee Break

10:30 - 12:30

Session Chair:

Atsushi Ohnishi

Session -3: Knowledge Engineering

� 10:30-11:00 Quantitative Evaluation of IT Management Activity Knowledge

Shuichiro Yamamoto, Shuji Morisaki

� 11:00-11:30 Development Case of Information Services to Accelerate Open

Innovation and Implementation

Takayuki Kunieda, Yusuke Kometani, Naka Gotoda, Rihito Yaegashi

� 11:30-12:00 Towards a Secure Semantic Knowledge of Healthcare Data

through Structural Ontological Transformations

Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

� 12:00-12:30 A Knowledge Transfer Support System from Text-based Work

Reports with Domain Ontologies

Ryutaro Nambu, Kohei Suehiro, Takahira Yamaguchi

12:30 – 14:00 Lunch Break

14:00 - 15:30

Session Chair:

Marios Poulos

Session – 4: Intelligent Systems - 2

� 14:00-14:30 Bibliometrics EEG Metrics Associations and Connections

between Learning Disabilities and the Human Brain Activity

Sozon Papavlasopoulos, Vasileios Stefanidis, Marios Poulos

� 14:30-15:00 A Sightseeing Guidebook Automatic Generation Printing System

According to the Attribute of Tourist (KadaTabi)

Ryosuke Izumi, Takayuki Kunieda, Yusuke Kometani, Naka Gotoda, Rihito Yaegashi

� 15:00-15:30 3D Formation Control of Swarm Robots Using Mobile Agents

Munehiro Takimoto, Yasushi Kambayashi, Tadashi Shyoji, Oikawa Ryotaro, Hideaki

Yajima,

WEDNESDAY, AUGUST 29

9:00 - 10:00 Keynote – 3 Demetra Evangelou

10:00 - 10:30 Coffee Break

10:30 - 12:30

Session Chair:

George A. Tsihrintzis

Session – 5: Intelligent Technology in Education-1

� 10:30-11:00 An Artificial Immune System-Based Approach for the

Extraction of Learning Style Stereotypes Osamu Takaki, Noriaki Izumi,

Koichiro Dionisios Sotiropoulos, Efthimios Alepis, Katerina Kabassi, Maria Virvou,

George Tsihrintzis

� 11:00-11:30 Group Affect Recognition: Optimization of Automatic

Classification

Andreas M. Triantafyllou and George A. Tsihrintzis

� 11:30-12:00 Computerized Adaptive Assessment using Accumulative

Learning Activities based on Revised Bloom’s Taxonomy

Akrivi Krouska, Christos Troussas, Maria Virvou

� 12:00-12:30 Support Tool for Refining Conceptual Model in Collaborative

Learning

Misaki Maruyama, Shinpei Ogata, Kozo Okano, Mizue Kayama

12:30 – 14:00 Lunch Break

14:00 - 16:00

Session Chair:

Maria Virvou

Session – 6: Intelligent Technology in Education-2

� 14:00-14:30 Authoring Technological and Platform-independent Learning

Material and Student's Progress Profile using Web Services

Spyros Papadimitriou, Konstantina Chrysafiadi, Maria Virvou

� 14:30-15:00 Automated Decision Making and Personal Data Protection in

Intelligent Tutoring Systems: Design Guidelines

Eirini Mougiakou, Spyros Papadimitriou, Maria Virvou

� 15:00-15:30 Moral Education for Adults for Information Ethics to Effect

the Unknown Problem

Keiichiro Abe, Takako Nakatani

� 15:30-16:00 The Development of the System which Creates Lecture

Contents by a Combination of Various Units and Learning Contents

Tomoki Yabe, Teruhiko Unoki, Takayuki Kunieda, Yusuke Kometani, Naka Gotoda,

Ken'ichi Fujimoto, Toshihiro Hayashi, Rihito Yaegashi

WEDNESDAY, AUGUST 29, 17:30 – 22:00 VISIT TO THE MUSEUM OF ASIAN ART

AND GALA DINNER

THURSDAY, AUGUST 30

9:00 - 10:00 Keynote – 4: Fumihiro Kumeno

10:00 - 10:30 Coffee Break

10:30 - 12:30

Session Chair:

Shuichiro Yamamoto

Session -7: Design

� 10:30-11:00 Generating Scenarios with Access Permission from a

Conceptual Model Takako Nakatani, Hideo Gotoh, Taichi Nakamura, Osamu Shigo

� 11:00-11:30 Notification Messages Considering Human Centered Design

Junko Shirogane, Yukari Arizono, Hajime Iwata, Yoshiaki Fukazawa

� 11:30-12:00 Tool to Automatically Generate a Screen Transition Model

Based on a Conceptual Model

Yukiya Yazawa, Shinpei Ogata, Kozo Okano, Haruhiko Kaiya, Hironori Washizaki

� 12:00-12:30 Effectiveness of Automated Grading Tool Utilizing Similarity

for Conceptual Modeling

Yuta Ichinohe, Hiroaki Hashiura, Takafumi Tanaka, Atsuo Hazeyama, Hiroshi

Takase

12:30 – 14:00 Lunch Break

14:00 – 15:00 Keynote – 5: George A. Tsihrintzis

15:00 – 15:30 Closing Session

Thank you for your participation in JCKBSE 2018 which was held on

Corfu, Greece

We hope to see you again in one of the future conferences in the JCKBSE Series

http://jckbse2018.unipi.gr

Α. Conference Venue B. Reading Society of Corfu C. Museum of Asian Art

C

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