Learning Semantic Association Rules from Internet of Things Data

Tracking #: 860-1866

Flag : Review Camera-ready

Authors: 

Erkan Karabulut
Paul Groth
Victoria Degeler

Responsible editor: 

Guest Editors Neurosymbolic AI for CPS 2024

Submission Type: 

Article in Special Issue (note in cover letter)

Full PDF Version: 

Supplementary Files: 

Cover Letter: 

Dear Editors, Our paper entitled "Learning Semantic Association Rules from Internet of Things Data" (#850-1856) was submitted to the Special Issue on Neurosymbolic AI for Cyberphysical Systems and has previously passed technical review and was returned with a request for a minor revision related to the LaTeX formatting. We would like to clarify that both the earlier and the revised versions of the manuscript were prepared using the official LaTeX template provided on the NAI journal website (template file: sage_latex_template_4.zip, downloaded on July 3, 2025, from https://neurosymbolic-ai- journal.com/content/author-guidelines). The LaTeX source files and the compiled PDF are included in the supplementary materials. In terms of content, the revised version includes only one minor addition: a sentence referring readers to a Python package we are actively developing for the generalized version (for tabular data) of the proposed Aerial method. This addition appears at the end of the “Open Source” paragraph in the Evaluation section. Kind regards, Erkan Karabulut (on behalf of all the authors)

Approve Decision: 

Approved

Previous Version: 

Tags: 

  • Reviewed

Decision:
Accept