Cognitive web services are widely used on the web for providing artificial intelligence (AI) capabilities. These web services provide a variety of features, including text and natural language understanding capabilities, chatbots, speech translation, speech-to-text and text-to-speech conversion, visual recognition, image and video recognition, machine learning capabilities, and other advanced capabilities. These services have proliferated in recent years with new features and types of services constantly being added. These cognitive services open up a wide range of capabilities for software applications. Users have access to state-of-the-art AI capabilities without having the need to install and run the software on their own systems.
Cognitive web services present challenges as well. The web services need to be scalable to handle a large number of users. High availability is critically important. Data privacy can be a significant issue. The programming model and application program interface (API) need to be properly designed so that the services are both versatile and easy to use.
This special issue seeks papers in all areas related to cognitive web services for machine learning and data analytics. Topics of interest include, but are not limited to:
- New types of web services for machine learning and data analytics
- Architectural design of web services for machine learning and data analytics
- Scalability and performance issues
- Performance modelling and optimization of web services for machine learning and data analytics
- Data privacy issues for cognitive web services
- Programming model and API design issues
- Machine learning web services operation and life cycle management
- Machine learning model management issues
- Empirical evaluations and comparisons of cognitive web services
- Algorithms and tools for selecting the best cognitive web services
- Cognitive web service pricing and incentives
- Testbeds and simulation platforms of web services for machine learning and data analytics
- Innovative applications using cognitive web services
- Experiences gained from deploying large-scale cognitive web services
Paper submissions due: 1 February 2021
First-round review due: 1 April 2021
Revision due: 7 May 2021
Final decision notification: 25 May 2021
Camera-ready submission due: 30 June 2021
Publication: September/October 2021
All submissions must be original manuscripts of fewer than 5,000 words. All manuscripts are subject to peer review on both technical merit and relevance to IEEE Internet Computing’s international readership–primarily practicing engineers and academics who are looking for material that introduces new technology and broadens familiarity with current topics. We do not accept white papers, and papers that are primarily theoretical or mathematical must clearly relate the mathematical content to a real-life or engineering application. Please read the author instructions here. To submit a manuscript, create or access an account on ScholarOne.
Contact the guest editors at email@example.com.
- Arun Iyengar, IBM Research
- Hongbo Jiang, Hunan University
- Dhaval Patel, IBM Research
- Jia Zou, Arizona State University