Published July 21, 2023
| Version v1
Dataset
Open
Data and Statistics for the SLR entitled "Ontologies in Digital Twins: A Systematic Literature Review"
- 1. University of Amsterdam
- 2. University of Technology Sydney
Description
Data and statistics that are produced as part of a Systematic Literature Review (SLR) entitled "Ontologies in Digital Twins: A Systematic Literature Review". The SLR will be submitted to Future Generation Computer System journal's Special Issue on Digital Twin for Future Networks and Emerging IoT Applications.
It consists of a set of excel sheets that includes a list of reviewed articles and their analysis. A description of what each sheet contains is given below:
| Sheet Name | Description |
| Search Statistics | List of research databases, search tools, search queries and number of gathered results. |
| Unfiltered Paper List | List of papers that are initially collected as a result of the paper identification phase. |
| Removed Duplicates | List of papers after removing duplicates |
| Marked Non-relevants (Round 1) | Marking papers as relevant or non-relevant based on titles, abstracts and skimming |
| Marked Non-relevants (Round 2) | Identification of relevant papers by exhaustive reading |
| Final Table | Final list of table with analysis results |
| Statistics | Statistics based on the analysis results |
Acknowledgement: This work has received support from The Dutch Research Council (NWO), in the scope of Digital Twin for Evolutionary Changes in water networks (DiTEC) project, file number 19454.
Files
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