* Apologies for cross-posting * ** 2nd Call for APPLIED RESEARCH PAPERS and RESOURCE PAPERS **
CIKM 2020 <https://cikm2020.org/> (October 19th-23rd, 2020) CIKM 2020 will be a fully virtual conference, with no travel involved, and presentations will be given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period. CALL FOR APPLIED RESEARCH PAPERS More info: https://cikm2020.org/call-for-applied-research-papers/ Important Dates Paper abstract submission deadline: June 1, 2020 Paper submission deadline: June 8, 2020 Paper acceptance notification: July 24, 2020 Camera ready submission deadline: August 17, 2020 The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications. Topics of Interest: We encourage submissions of works in the same area of relevance of the CIKM2020 Research Track but that describe applied and in-use works, including but not limited to the following application areas: - Business Intelligence - Social Networks and Social Good - Healthcare and Bioinformatics - Computing Infrastructures - Emerging Applications CALL FOR RESOURCE PAPER More info at https://cikm2020.org/call-for-resource-papers/ Important Dates Paper abstract submission deadline: June 1, 2020 Paper submission deadline: June 8, 2020 Paper acceptance notification: July 24, 2020 Camera ready submission deadline: August 17, 2020 CIKM recognises the importance of publicly available scientific resources, such as datasets, evaluation benchmarks, tools or libraries as a necessary and important prerequisite for fostering research in core CIKM areas. The Resources Track seeks submissions from both academia and industry that describe resources available to the community. An ideal resource track paper will fit into one or more of the following categories: 1. Describing a new and innovative dataset 1. To support research on novel application domains; 2. To support novel evaluation tasks; 3. Created using novel methods and/or algorithms; 4. Labeled using novel and well-described annotation and/or crowdsourcing approaches; 2. Reusable research prototypes and services; 3. Open software frameworks, tools and libraries which support tasks in data science, data engineering or information & knowledge management". Check our sponsorship options <https://cikm2020.org/sponsorship/> for an opportunity to reach out to the experts in the domain! _______________________________________________ RuleML-all mailing list [email protected] http://ruleml.org/mailman/listinfo/ruleml-all_ruleml.org
