Calls for Papers (special): International Journal of Information Technology and Web Engineering (IJITWE)


Special Issue On: Semantic Intelligence & Web Engineering

Submission Due Date
3/30/2021

Guest Editors
Dr. Prateek Agrawal, University of Klagenfurt, Austria; Dr. Dilip Kumar Sharma, GLA University, Mathura, India;
Prof. Vishu Madaan, Lovely Professional University, India; Dr. Anatoliy Zabrovskiy, Petrozabodsk State University, Russia

Introduction
A machine will behave intelligently if the underlying representation scheme exhibits knowledge that can be achieved by representing semantics. Semantic Intelligence refers to filling the semantic gap between the understanding of humans and machines by making a machine look at everything in terms of object oriented concepts as a human look at it. Semantic intelligence helps us make sense of the most vital resource, i.e., data; by virtue of making it interpretable and meaningful. The focus is on information as compared to process. To whatever application, the data will be put to; it is to be represented in a manner that is machine-understandable and hence human-usable. All the important relationships (including who, what, when, where, how and why) in the required data from any heterogeneous data source are required to be made explicit. Web engineering focuses on the methodologies, techniques, and tools that are the foundation of Web application development and which support their design, development, evolution, and evaluation. The Artificial Intelligence technologies, the Machine Intelligence technologies, and the semantic web technologies together make up the Semantic Intelligence Technologies (SITs). SITs have been found as the most important ingredient in building artificially intelligent knowledge based systems as they aid machines in integrating and processing resources contextually and intelligently.

Objective
Special issue on Semantic Intelligence provides an opportunity to researchers, academicians and industry people to publish cutting edge research results in intelligent applications. Due to many technological trends like IoT, Cloud Computing, Smart Devices, huge data is generated daily and at unprecedented rates. Traditional data techniques and platforms do not prove to be efficient because of issues concerning responsiveness, flexibility, performance, scalability, accuracy, and more. To manage these huge data sets and to store the archives for longer periods, we need granular access to massively evolving data sets. Addressing this gap has been an important and well recognized interdisciplinary area of Computer Science.

Recommended Topics
• Semantic Web Engineering,
• Ontology-based Data Access,
• Multimodal and Multilingual Access,
• Machine to Machine Communications and Interoperability,
• Knowledge Extraction and Ontology Learning from the Web,
• Multimodal and Multilingual Approach to Computing,
• Computational Paradigms and Computational Intelligence,
• Intelligent Computing and Applications, Case Studies and Tools,
• Artificial Intelligence and Machine Learning,
• Contributions of Semantic Web Technologies (SWT) to the Society,
• Cyber-Physical Systems,
• Knowledge representation and Engineering,
• Security Issues in Semantic Web,
• Applications, Opportunities, Challenges, Reasoning and Intelligent Processing,
• Natural Language Processing.

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Semantic Intelligence & Web Engineering on or before 30 March 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Prateek Agrawal
Guest Editor,
International Journal of Information Technology and Web Engineering
E-mail: prateek061186@gmail.com

Special Issue On: Artificial intelligence-Driven Smart Mobile Web User Experience

Submission Due Date
4/30/2021

Guest Editors
Dr. V. Suma, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India.
Dr. Zubair Baig, School of Information Technology, Deakin University, Australia.
Dr. Noureddine Bouhmala, University of Southeast Norway (USN), Norway.
Dr. Fuqian, Shi College of Information and Engineering, Wenzhou Medical University, China.

Introduction
The recent innovations of both Artificial Intelligence [AI] and mobile human computer interfacing approaches are highly determined towards the growing trend in the AI driven new research opportunities such as smart and automated mobile web user experience, interactive social networks, mobile applications, business and gaming platforms, and so forth. In the aforementioned areas, the mobile user experience plays a predominant role in influencing many essential aspects of our lives [ranging from voice recognition, interactive applications to healthcare services].

In recent years, Artificial Intelligence has deployed significant research breakthroughs like deep learning, machine learning, and so on in many real-time computer applications. Whereas, the traditional human computer interface fails to process the huge amount of human-generated and machine-generated information like texts, videos, and photos, and also the increasing requirements of scalability, mobility, timeliness, and security. In this context, equipping the existing mobile web user interface with deep learning and similar other AI approaches like clustering, neural networks, generative, and autonomous models will deliver a smart multimodal mobile web user interfaces with a dedicated user-centric design to the computer users.

Objective
These AI approaches will deploy promising solutions to many challenging problems with its intelligent decision-making process, automation for significantly improving the mobile web user experience, and Quality of Service [QoS]. The primary aim of this special issue is to focus on algorithm, design, implementation, and analysis of smart user interface in various real-time applications. Moreover, this special issue will address a comprehensive overview to enable intelligent and autonomous user interfaces/applications for data collecting, processing, and learning huge amount of information across various real-time human-computer interface based web applications.

Recommended Topics
• Intelligent data representation and analysis models
• AI-driven multimodal web user interface models
• Smart recommendation engines
• User behavior anomaly and fake content detection
• AI based verification and testing models
• Deep learning approaches for mobile user optimization
• AI-driven distributed mobile user infrastructures
• Large-scale web user data analysis
• Smart resource scheduling and allocation
• AI based security and privacy of mobile user interfaces
• AI-based assistive mobile web user interfaces
• AI-assisted web user modeling and analysis
• Reinforcement learning to deliver a smart user interface
• Smart user interface for mobile human-machine cooperation

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Artificial intelligence-Driven Smart Mobile Web User Experience on or before 4/30/2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. V. Suma
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
E-mail: vsumadsce@gmail.com

Special Issue On: Fuzzy Logic and the Semantic Web

Submission Due Date
5/31/2021

Guest Editors
Prof. Mohit Kumar, Computational Intelligence in Automation, Rostock University, Germany.
Prof. Chao-Hsien Chu, Pennsylvania State University and Peking University.

Introduction
Most of today's Web content is suitable for human consumption. The Semantic Web is presented as an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. For example, within the Semantic Web, computers will understand the meaning of semantic data on a web page by following links to specified ontologies. But while the Semantic Web vision and research attracts attention, as long as it will be used two-valued-based logical methods no progress will be expected in handling ill-structured, uncertain or imprecise information encountered in real world knowledge. Fuzzy Logic and associated concepts and techniques (more generally, Soft Computing), has certainly a positive role to play in the development of the Semantic Web. Fuzzy Logic will not be supposed to be the basis for the Semantic Web but its related concepts and techniques will certainly reinforce the systems classically developed within W3C.

Objective
In fact, Fuzzy Logic cannot be ignored in order to bridge the gap between human-understandable soft logic and machine-readable hard logic. None of the usual logical requirements can be guaranteed: there is no centrally defined format for data, no guarantee of truth for assertions made, no guarantee of consistency. To support these arguments, this special issue aims to collect recent research to shows how components of the Semantic Web (like Description Logics, Conceptual Graphs, Ontologies) can be covered, with in each case a Fuzzy Logic focus. This special issue is expected to bring a set of recent research works focused on the application of Fuzzy Logic to the Semantic Web, such as new concepts, tools, techniques and applications for using Fuzzy Logic in the Semantic Web.

Recommended Topics
• Search engines technologies
• Question answering systems
• Perception-based searching technologies
• Fuzzy semantic
• Expressiveness of the languages for the semantic web
• Fuzzy data mining for the semantic web
• Approximate knowledge graph retrieval
• Using knowledge trees for semantic web querying
• Knowledge graph construction
• Fuzzy systems for knowledge graph processing
• Fuzzy logic aggregation for semantic web
• Evolving ontologies for intelligent decision support
• Soft integration technologies
• Fuzzy ontologies for information retrieval
• Fuzzy logic approach to information retrieval
• Fuzzy relational oncological model
• Semantic portal for oncology
• Fuzzy description logic for the semantic web
• Uncertainty and description logic programs
• Fuzzy quantification in fuzzy description logics
• Fuzzy logic-based web intelligence

Submission Procedure
Researchers and practitioners are invited to submit their original empirical research articles 3,000–5,000 words in length. Interested authors must consult the journal’s guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted articles will be reviewed on a double-blind review basis by no fewer than 3 members of the journal’s Editorial Review Board and 1 Associate Editor. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers and at the sole discretion of the special issue guest editor. All manuscripts must be submitted through the eEditorial Discovery® online submission manager: https://www.igi-global.com/submission/submit-manuscript/?jid=1093&cfcid=bea65a13-eda0-4d1c-9cf4-28d8564ce342

All inquiries should be directed to the attention of:
Chao-Hsien Chu
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
chu.hsien@pku.edu.cn

Special Issue On: Knowledge Extraction for Smart Data Analytic to Enhance Internet of Things

Submission Due Date
7/30/2021

Guest Editors
Xingchi Chen, University Technology of Sydney, Australia
Gengfa Fang, University Technology of Sydney, Australia

Introduction
Due to the spread of Internet of Things (IoT) and artificial intelligence (AI) technology, massive amounts of data are generated, and abundant smart applications incorporating IoT and AI have emerged, f.i., smart city, smart healthcare, smart agriculture, smart robot. However, there is a lack of effective and robust architectures, algorithms, models and systems to identify and understand real data intentions from the raw data with multidimensional noise. For instance, the raw data generated by IoT devices with photoplethysmogram (PPG) sensors is an infinite-dimensional time-series which would contain a bulk of redundant information. On one hand, it is impossible to directly use infinite dimensional data in smart healthcare applications. On the other hand, the PPG signal is easily interfered by noises, such as the body movement or other motion artifacts. The smart applications cannot achieve the expected results by directly using the raw data. Thus, extracting useful knowledge or information from raw data becomes critical in the IoT and associated smart applications.

Objective
This special issue will focus on using smart data analytic technology to reduce the redundant information and remove the noise in the raw data for the IoT and related applications. Our special issue aims to invite and encourage researchers and developers to contribute original and practical articles, which can enhance IoT systems and related applications.

Recommended Topics
• Knowledge Extraction and Mining in IoT
• Architectures, Algorithms, Models and Systems for Knowledge Extraction of IoT
• Smart Data Analytic in IoT
• Edge-based IoT Applications
• Smart Denoising Technology in Real-time IoT Decision Systems
• Data Mining and Management for Edge Computing
• AI-Driven Web of Things
• AI-enabled Knowledge Structure and Engines for IoT systems
• AI-based Network and Communication Technologies
• Security and Privacy of Data Communication in Web-based IoT systems

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Knowledge Extraction for Smart Data Analytic to Enhance Internet of Things on or before 30 July, 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Xingchi Chen
Guest Editor
International Journal of Information Technology and Web Engineering (IJITWE)
E-mail: xingchi.chen@uts.edu.au