Applications And Systems Track

The Applications and Systems Track at KR2020 invites submissions of regular and short papers on emerging and deployed applications of knowledge representation and reasoning (KR) and KR tools and systems including:

• Papers describing all aspects of the development, deployment, and evaluation of KR systems to solve real-world problems, including interesting case studies and benchmarks, and lessons learned.
• Papers describing all aspects of KR related tools and systems, indicating clearly their capabilities and limitations, uses cases and challenges.
• Papers on the application of KR in life sciences, genetics, medicine, pharmacology, economics, computer vision, image and video understanding, natural language understanding, robotics, human robot collaboration, digital forensics, cybersecurity, blockchain, education, bioinformatics, computational biology, intelligent transportation, logistics, internet of things, creative computing, software engineering, intelligent user interfaces, etc.
• Papers on applications that combine KR with other techniques such as machine learning, data analytics, game theory, social choice, etc.
• Papers on creation of datasets, benchmarks and annotated corpuses, and knowledge repositories that drive applications

The goal of this track is not only to encourage applications of KR and development of KR systems but also to increase the visibility of research done on applications and systems of KR in the evolving panorama of AI which is gaining more and more popularity.

Submission Guidelines and Evaluation Criteria

The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the authors guidelines detailed in the submission page .

Submissions will be rigorously peer reviewed by PC members, who are active in applications of KR and/or development of KR systems.

In addition to the usual evaluation criteria about clarity of the presentation and quality of the writing, for applications papers, the criteria will include:

• Significance of the real-world problem being addressed.
• Importance and novelty of using KR technologies to solve this problem.
• Evaluation and applicability of the system in the real world.
• Clear evidence of the potential benefits of applying and improving KR tools and techniques.
• Reusability of datasets, case studies, knowledge repositories and benchmarks.

For tools and systems papers, the criteria will include:

• Quality and capabilities of the described tool or system, assessed, e.g., through benchmarking and experimentation.
• Importance, and impact of the tool or system, assessed through relevant applications or use-cases in which the tool or system has been deployed.

For any questions regarding suitability of a submission or of any other aspect of the track, please email the track co-chairs:

Chitta Baral (Arizona State University, USA)
chitta-anti-bot-bit@asu.edu
Francesco Ricca (University of Calabria, Italy)
ricca-anti-bot-bit@mat.unical.it