Publication detail

Dictionary Search Algorithm for Job Ads Profiling

WITTNER, A. SIKORA, M. RICCI, S.

Original Title

Dictionary Search Algorithm for Job Ads Profiling

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This article describes a novel way for developing an assisting module for analyzing cybersecurity skills in job advertisements. This module will be included in the Cybersecurity Job Ads Analyzer web application, which will be used to examine cybersecurity skill requirements in job opportunities. Our idea speeds up the development of the test database utilized in the analysis by eliminating the need for manual data entry. To that end, various dictionary search algorithms have been examined, and a comparison of four dictionary construction methods is offered

Keywords

Dictionary search algorithm;cybersecurity skills analysis; ENISA framework

Authors

WITTNER, A.; SIKORA, M.; RICCI, S.

Released

25. 4. 2023

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6153-6

Book

Proceedings I of the 29th Conference STUDENT EEICT 2023 General papers

Edition

1

Pages from

60

Pages to

63

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf

BibTex

@inproceedings{BUT184768,
  author="Marek {Sikora} and Sara {Ricci} and Alex {Wittner}",
  title="Dictionary Search Algorithm for Job Ads Profiling",
  booktitle="Proceedings I of the 29th Conference STUDENT EEICT 2023 General papers",
  year="2023",
  series="1",
  pages="60--63",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6153-6",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf"
}