IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI 2020)
Las Vegas, Nevada, USA | August 11 - August 13, 2020
Data science has become the new frontier for self-driving cars and AI. Such intelligent applications derive from Information Reuse and Integration (IRI). IRI seeks to maximize the utility of information by creating simple, rich, and cost-effective knowledge representations and ontologies. IRI consequently explores strategies for integrating this knowledge into systems and applications. It plays a pivotal role in the capture, representation, maintenance, integration, validation, and extrapolation of information and the knowledge derived from it; and, it applies both information and knowledge for enhancing decision-making in various application domains.
This conference explores three major tracks: information reuse, information integration, and reusable systems. Information reuse explores the theory and practice of optimizing representations; information integration focuses on innovative strategies and algorithms for unifying diverse information in novel domains; and, reusable systems focus on developing and deploying models and corresponding processes that enable Information Reuse and Integration to play a pivotal role in enhancing decision-making processes in various application domains.
The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both included. The conference program will include special sessions, open forum workshops, panels, and keynote speeches. This year, for the first time, it will hold a classified military sessions at the nearby Naval Information Warfare Center (NIWC) in San Diego. Presentation of classified IRI military papers and attendance at these sessions is open to those holding an active US government Secret clearance. A clearance is not required for any other IRI sessions.
Call for Papers
This conference presents excellent, novel, and contemporary papers covering all aspects of Data – including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought for data management in the face of hardware, software, and/or bandwidth constraints; to construct models yielding important data insights; and, to create visualizations to aid in presenting and understanding the data. System development and integration need to adapt to these new algorithms, technologies, tools, and needs. This conference and its constituents support the development of science and technology to improve the human condition.
Furthermore, IRI addresses the representation, cleansing, generalization, validation, and reasoning strategies for the scientifically sound and the cost-effective advancement of all systems and systems of systems (SoS) – including all software and hardware aspects. These non-trivial tasks lead to challenging research problems – for example, how to optimally select the information/data sets for reuse and how to optimize the integration of existing information/knowledge with new, developing information/knowledge sources!
The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both welcome. The conference program will include several plenary speeches from academia, industry, and government; special sessions, open forum workshops, and panels.
The conference includes, but is certainly not limited to, the areas listed below:
Applications – Autonomous Vehicles, Business, Education, Engineering, Healthcare and Medical Informatics, the Internet of Things, Math, Military, Multimedia, NLP, Robotics, Science, Security, Social Networking, Space, Vision, etc.
Brain-Computer Interface: Applications and Algorithms
Contemporary as well as Novel Data Mining Techniques
Data & Knowledge Representation and Management
Data Science & Technologies - Heuristic Acquisition
Data Science and Software Engineering – Identify Security Bugs, Code Reviews, Adaptive Systems, Testing, etc.
Data Visualization
Graph Models
Machine Learning & AI
Heuristics, and Explanation-Based Learning vs. neural networks which are intractable
AI and Security
Symbolic AI
Evolutionary Techniques
Predictive Data Analysis & Intelligence
Recommender Systems
Statistical Analysis
Information Science & Theory
Best Paper Award: The best papers will be selected by distinct (cleared) committees and will be the ones, which report novel and promising research work, which have a high potential for world impact. Additional select awards will also be made.
Abstract Submission: April 15, 2020
Deadline (full research/industry/application/government track): April 29, 2020
Deadline (short paper track): April 29, 2020
Deadline (poster and demo paper track): May 20, 2020
Full/Short Paper Acceptance Notification: June 1, 2020
Poster/Demo Paper Acceptance Notification: June 15, 2020
Camera Ready Submission Deadline: June 20, 2020
Author Registration Due: July 1, 2020
Conference Events: August 11 - Aug 13, 2020
Instructions:
Papers reporting original and unpublished research results pertaining to the above and related topics are solicited. Full/regular papers must be in English of up to 8 pages (using the IEEE two-column template instructions). Short papers are up to 6 pages, while poster and demo papers are up to 4 and 2 pages, respectively. Full paper submissions can be made to the regular research track or to the industry/application track. Submissions should be double blind and should include only the title and should not include the author(s), affiliation(s), e-mail address(es), tel/fax numbers, and postal address(es) in the paper. The online submission site is: https://cmt3.research.microsoft.com/IRI2020. The authors need to mark if their submission is for the “Regular Research Track”, or for the “Industry/Applications Track”.
If web submission is not possible, please contact the program co-chair, Dr. Chengcui Zhang (czhang02@uab.edu) for alternate arrangements. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted.
