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Smart Libraries: The Application of Emerging and Innovative Technologies

Special issue call for papers from The Electronic Library

The digital revolution has created significant changes in everyday life. The Internet and mobile technologies have revolutionized the way that people find, consume, and interact with content. New emerging and innovative technologies are playing a pivotal role in shaping every aspect of our lives, and libraries are no exception. The role of the 21st century library in the digital era has now changed. Smart people, smart places, smart collections, and smart services have become an integral part of smart libraries of the future. The root and base of future smart libraries is closely interrelated with the cohesive relationship between people, place, knowledge, and technology to create a platform for learning, participation, creativity, and innovation. Future smart libraries will focus more on data management, innovative organization of data and information, the increasing accessibility of research content, maintaining the scholarly record, innovation in collections and services, and better use of human resources.

There are many challenges associated with future smart libraries. Technologies, such as electronic publishing, mobile apps, citation technologies, open content, the Internet of Things, semantic web, linked data, machine learning, deep learning, artificial intelligence, and so on are playing a major and bigger role in reshaping libraries. Libraries all over the world are in a transition phase while adopting these changes. This Special Issue will explore the use of emerging and innovative technologies to perform innovative information organization and services in smart libraries. We encourage the submission of original works based on interdisciplinary research (e.g., computer science, library and information studies, and humanistic disciplines). This issue will cover both technological and non-technological issues related to these rapidly growing and evolving areas. Thus, we invite authors to submit papers related (but not exclusively) to the following topics:

Research Topics

  • Techniques for Innovative Information Organization, Processing, and Presentation
  • Ambient intelligence
  • Context-aware computing
  • Data mining
  • Data visualization
  • Deep learning
  • Machine learning and vision
  • Security, privacy, and trust
  • Sentiment mining
  • Sensors and wireless technologies
  • Social mining
  • Web-based systems
  • Application Areas and Future Trends
  • Big data and open data
  • Artificial intelligence
  • Blockchain technology
  • Internet of Things (IoT)
  • Library bookmark apps
  • User-focused interfaces
  • Augmented reality
  • Digital interfaces for printed books
  • Driverless cars
  • Drones

Important Dates

Submission due: 28 February 2019

Notification of final acceptance: 30 June 2019

Final papers: 31 August 2019

Submission Process

Submissions to the special issue will be screened by the Special Issue Editors to insure that they conform to the quality standards of The Electronic Library journal. Papers that do not pass this initial screening will be immediately returned to the authors. Reviewers will apply those standards in forming recommendations for acceptance, revision, or rejection. A maximum of two revisions will be invited. Papers should be formatted with The Electronic Library journal style ( The submission deadline is 28 February 2019. The prospective contributors should submit their papers directly to the online submission system ( In addition, authors please choose the Special Issue (Smart Libraries: The Application of Emerging and Innovative Technologies) during the online submission process.

Guest Editors

Chia-Chen Chen, PhD

Department of Management Information Systems

National Chung Hsing University, Taiwan


Dr. Chen is a professor of Management Information Systems at National Chung Hsing University, Taiwan. She received her PhD in Information Management from National Chiao-Tung University in Taiwan. Her current research interests focus on information management, technology education, context awareness, human behavior, and social interactions. Dr. Chen’s research is published or is forthcoming in Library Hi Tech, Information Sciences, Future Generation Computer Systems, Computers & Education, Interactive Learning Environments, Telematics and Informatics, Electronic Commerce Research and Applications, Information Fusion, Expert Systems with Applications, Neural Computing and Applications, and a number of national and international conference proceedings.

Carmen Cámara, PhD

Department of Computer Science

Carlos III University of Madrid, Spain


Carmen Cámara is a PhD researcher at the Computer Security Lab (COSEC) of the Carlos III University of Madrid (UC3M). Dr. Cámara specializes in Computer Science & Biomedical Engineering. She holds a degree in Computer Engineering, a Master in Computer Science with specialization in Artificial Intelligence, and a PhD in Computer Science, all three from the Carlos III University of Madrid, as well as a Master in Biomedical Engineering from the Technical University of Madrid. Her research interests include the study, development, and application of techniques to provide cybersecurity in e-health, biometry, artificial intelligence, neuroimaging, neural engineering, and computational neuroscience.

Kuo-Lun Hsiao, PhD

Department of Information Management

National Taichung University of Science and Technology, Taiwan


Kuo-Lun Hsiao is a professor of Information Management at National Taichung University of Science and Technology, Taichung, Taiwan. He received MBA and PhD degrees from National Taiwan University of Science and Technology, Taipei, Taiwan, in 2003 and 2008, respectively. Dr. Hsiao’s articles have appeared in Internet Research, Online Information Review, Information & Management, Journal of Information Science, and Telematics and Informatics. His research interests include electronic commerce, Internet marketing, and e-learning. He has served as a reviewer in several SSCI journals.

Tien-Yu Hsu, PhD

Graduate Institute of Library and Information Science

National Chung Hsing University, Taiwan

(Research Fellow, Department of Information Science, National Museum of Natural Science, Taiwan)


Dr. Hsu is an adjunct professor of Graduate Institute of Library and Information Science at National Chung Hsing University, Taiwan. In addition, he is also the research fellow of department of information science at National Museum of Natural Science, Taiwan. He received the PhD degrees from National Chiao-Tung University in Taiwan. His current research interests focus on digital museums, digital archives, e-learning, digital content, and library science research. Dr. Hsu’s research is published or is forthcoming in The Electronic Library, Personal and Ubiquitous Computing, Data Technologies and Applications, and International Journal of Humanities and Arts Computing, and a number of national and international conference proceedings.

Arun Kumar Sangaiah, PhD

School of Computer Science and Engineering

Vellore Institute of Technology (VIT), Vellore, India


Dr. Arun Kumar Sangaiah received his Master of Engineering from Anna University and PhD from VIT University, in 2007 and 2014, respectively. He is currently a professor at the School of Computing Science and Engineering, VIT University, Vellore, India. In 2016, he was a visiting professor at the School of Computer Engineering at Nanhai Dongruan Information Technology Institute in China for six months. In addition, he has been appointed as a visiting professor in Southwest Jiaotong University, Chengdu, Changsha University of Science and Technology, China, Dongguan University of Technology, Guangdong, and Hwa-Hsia University of Technology, Taiwan. Further, he has visited many research centres and universities in China, Japan, and South Korea for joint collaboration towards research projects and publications. His areas of research interest include e-learning, learning engineering, machine learning, software engineering, computational intelligence, IoT, wireless networks, bio-informatics, and embedded systems. Dr. Sangaiah’s outstanding scientific production spans over 230+ contributions published in high standard ISI journals, such as IEEE Communication Magazine, IEEE Systems, and IEEE IoT. His publications are distributed as follows: 230 papers indexed and 21 papers indexed in Scopus. In addition, he has authored/edited eight books (Elsevier, Springer, and others) and edited 50 special issues in reputed ISI journals, such as IEEE Communication Magazine, IEEE IoT, ACM Transactions on Intelligent Systems and Technology, and so forth. He has also registered an Indian patent in the area of computational intelligence. His Google Scholar Citations reached 1,300+ with h-index: 20 and i10-index: 39. Dr. Sangaiah is an Editorial Board Member and Associate Editor of many reputed ISI journals.

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