Enterprise Information Systems
Cognitive Computing for Big Data Systems over Internet of Things for Enterprise Information Systems
Deadline: 30 April 2019
The paradigm of the Internet of Things (IoT) has become a key component for enterprise information systems (EIS). Low-cost sensing and actuation are available to the whole world. It enables seamless information exchange and networked interactions of physical and digital objects in enterprise computing. This interconnectivity together with large-scale data processing, advanced machine learning, robotics and new fabrication techniques steadily bring innovation and business models of the digital space into the physical world. The IoT is expected to improve the intelligence of EIS, promoting the interaction between the human and the environment, to enhance reliability, resilience, operational efficiency, energy efficiency, and resource consumption. Many of the IoT systems and technologies are relatively novel, there are still many untapped applications in enterprise modelling and computing systems, as well as numerous challenges and issues that need to be improved.
Cognitive computing has broad horizons, which cover different characteristics of cognition. The field is highly trans-disciplinary in nature, combining ideas, principles and methods of psychology, computer and Internet technologies, linguistics, philosophy, neuroscience, etc. Cognitive computing is the creation of self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to solve complicated problems without constant human oversight. Cognitive computing will bring a high level of fluidity to analytics. Core Data Technologies covering the underpinning mathematical, statistical and computer Internet systems expertise and research concerned with new scalable approaches for capturing, storing, managing, analyzing and visualizing large-scale, complex and diverse data from multiple sources. Data's science techniques have been adopted to improve the IoT in terms of data throughput, optimization and management. The data techniques and technologies will impact the future of the IoT, allowing researchers to reproduce scenarios, and optimize the acquisition, analysis and visualization of the data acquired by IoT devices for EIS. One of the most ambitious and exciting challenges in data technologies is to model and replicate how people think and learn.
This special issue explores domain knowledge and reasoning of Data Technologies and Cognitive methods over the Internet of things for EIS. The idea of embodying this concept would be to extend existing data technologies approaches by incorporating knowledge from experts as well as a notion of artificial intelligence, and performing inference on the knowledge. The main focus is designing the best cognitive embedded data technologies to process and analyze the large amount of data collected through IoT to aid good decision-making in enterprise architecture design and modelling. Cognitive data computing uses cognitive methods and data technologies to support new and improved IoT solutions for smart infrastructure to support modern EIS design and applications. We cordially invite investigators to contribute their original research articles, with an emphasis on real-life applications, as well as review articles that will stimulate further activities in this area and improve our understanding of the key scientific problems.
- Principal Guest Editor: Arun Kumar Sangaiah, Vellore Institute of Technology, Vellore, Tamil Nadu, India(email@example.com)
- Guest Editor: Ankit Chaudhary, University of Missouri, USA (firstname.lastname@example.org)
- Guest Editor: Chun-Wei Tsai, National Chung-Hsing University, Taiwan (email@example.com)
- Guest Editor: Jin Wang, Changsha University of Science and Technology, China (firstname.lastname@example.org)
- Guest Editor: Francesco Mercaldo, University of Sannio, Italy (email@example.com)
Dates for your Diary
- Submission deadline: April 30, 2019
- First round notification: July 1, 2019
- Second round: October 30, 2019
- Final notification: December 15, 2019
- Expected Online Publication: Q1 of 2020
Original papers describing completed and unpublished work not currently under review by any other journal/magazine/conference/workshop are solicited. Previously published conference/ symposia/ workshop papers or technical reports MUST be clearly clarified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue.
Prospective authors should submit via the submission site of Enterprise Information Systems. Submitting authors must answer ‘Yes’ to a question of “Is this submission for a special issue?” and then select “Cognitive Computing for Big Data Systems over Internet of Things for Enterprise Information Systems” from the drop-down menu.