JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media

Ujwal Gadiraju, Mahdi Bohlouli, Gianluca Demartini, Anoush Margaryan

Research output: Chapter in Book/Report/Conference proceedingPreface/postscriptResearchpeer-review

Abstract

To gain insights into labor demands or supply, researchers and policymakers have traditionally relied on interviews, trade publications, surveys, and vacancies. Although such traditional data sources have some clear advantages, they are also characterized by limitations that can be addressed by using web-based data available in abundance.
The scope of this workshop includes the vision of an open 'job knowledge base' that can be used by employers, employees, job seekers, labor market experts and policy makers. Such a knowledge base could contain different types of information such as responsibilities and roles, required competences, that could be used to develop trainings and identify priorities, wage information, geographical and demographic trends, cultural issues, demands of the job markets in different domains, job announcement information and rates, job popularity and other useful labor market dynamics. This workshop aims at identifying the challenges for job knowledge discovery, and proposing solutions to overcome these challenges. Due to the compelling human factors that play a vital role in decision-making processes related to job search, job satisfaction, etc. we are particularly interested in inter-disciplinary approaches that can support job knowledge discovery.
Original languageEnglish
Title of host publicationHT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media
EditorsClaus Atzenbeck, Jessica Rubart, David E. Millard
Number of pages2
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Publication date2019
Pages305-306
ISBN (Print)9781450368858
DOIs
Publication statusPublished - 2019
Event30th ACM Conference on Hypertext and Social Media. HT '19 - Hof University of Applied Sciences, Hof, Germany
Duration: 17 Sep 201920 Sep 2019
Conference number: 30
https://human.iisys.de/ht2019/

Conference

Conference30th ACM Conference on Hypertext and Social Media. HT '19
Number30
LocationHof University of Applied Sciences
CountryGermany
CityHof
Period17/09/201920/09/2019
Internet address

Keywords

  • Job knowledge
  • Web data
  • Social media
  • Employers
  • Job search
  • Job posting
  • Labor market

Cite this

Gadiraju, U., Bohlouli, M., Demartini, G., & Margaryan, A. (2019). JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. In C. Atzenbeck, J. Rubart, & D. E. Millard (Eds.), HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media (pp. 305-306). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3342220.3349532
Gadiraju, Ujwal ; Bohlouli, Mahdi ; Demartini, Gianluca ; Margaryan, Anoush . / JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. editor / Claus Atzenbeck ; Jessica Rubart ; David E. Millard. New York, NY : Association for Computing Machinery, 2019. pp. 305-306
@inbook{41b7d5a8c58a464299dde8edef725804,
title = "JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media",
abstract = "To gain insights into labor demands or supply, researchers and policymakers have traditionally relied on interviews, trade publications, surveys, and vacancies. Although such traditional data sources have some clear advantages, they are also characterized by limitations that can be addressed by using web-based data available in abundance.The scope of this workshop includes the vision of an open 'job knowledge base' that can be used by employers, employees, job seekers, labor market experts and policy makers. Such a knowledge base could contain different types of information such as responsibilities and roles, required competences, that could be used to develop trainings and identify priorities, wage information, geographical and demographic trends, cultural issues, demands of the job markets in different domains, job announcement information and rates, job popularity and other useful labor market dynamics. This workshop aims at identifying the challenges for job knowledge discovery, and proposing solutions to overcome these challenges. Due to the compelling human factors that play a vital role in decision-making processes related to job search, job satisfaction, etc. we are particularly interested in inter-disciplinary approaches that can support job knowledge discovery.",
keywords = "Job knowledge, Web data, Social media, Employers, Job search, Job posting, Labor market, Job knowledge, Web data, Social media, Employers, Job search, Job posting, Labor market",
author = "Ujwal Gadiraju and Mahdi Bohlouli and Gianluca Demartini and Anoush Margaryan",
year = "2019",
doi = "10.1145/3342220.3349532",
language = "English",
isbn = "9781450368858",
pages = "305--306",
editor = "Claus Atzenbeck and Jessica Rubart and Millard, {David E.}",
booktitle = "HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media",
publisher = "Association for Computing Machinery",
address = "United States",

}

Gadiraju, U, Bohlouli, M, Demartini, G & Margaryan, A 2019, JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. in C Atzenbeck, J Rubart & DE Millard (eds), HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, New York, NY, pp. 305-306, Hof, Germany, 17/09/2019. https://doi.org/10.1145/3342220.3349532

JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. / Gadiraju, Ujwal; Bohlouli, Mahdi; Demartini, Gianluca; Margaryan, Anoush .

HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. ed. / Claus Atzenbeck; Jessica Rubart; David E. Millard. New York, NY : Association for Computing Machinery, 2019. p. 305-306.

Research output: Chapter in Book/Report/Conference proceedingPreface/postscriptResearchpeer-review

TY - GEN

T1 - JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media

AU - Gadiraju, Ujwal

AU - Bohlouli, Mahdi

AU - Demartini, Gianluca

AU - Margaryan, Anoush

PY - 2019

Y1 - 2019

N2 - To gain insights into labor demands or supply, researchers and policymakers have traditionally relied on interviews, trade publications, surveys, and vacancies. Although such traditional data sources have some clear advantages, they are also characterized by limitations that can be addressed by using web-based data available in abundance.The scope of this workshop includes the vision of an open 'job knowledge base' that can be used by employers, employees, job seekers, labor market experts and policy makers. Such a knowledge base could contain different types of information such as responsibilities and roles, required competences, that could be used to develop trainings and identify priorities, wage information, geographical and demographic trends, cultural issues, demands of the job markets in different domains, job announcement information and rates, job popularity and other useful labor market dynamics. This workshop aims at identifying the challenges for job knowledge discovery, and proposing solutions to overcome these challenges. Due to the compelling human factors that play a vital role in decision-making processes related to job search, job satisfaction, etc. we are particularly interested in inter-disciplinary approaches that can support job knowledge discovery.

AB - To gain insights into labor demands or supply, researchers and policymakers have traditionally relied on interviews, trade publications, surveys, and vacancies. Although such traditional data sources have some clear advantages, they are also characterized by limitations that can be addressed by using web-based data available in abundance.The scope of this workshop includes the vision of an open 'job knowledge base' that can be used by employers, employees, job seekers, labor market experts and policy makers. Such a knowledge base could contain different types of information such as responsibilities and roles, required competences, that could be used to develop trainings and identify priorities, wage information, geographical and demographic trends, cultural issues, demands of the job markets in different domains, job announcement information and rates, job popularity and other useful labor market dynamics. This workshop aims at identifying the challenges for job knowledge discovery, and proposing solutions to overcome these challenges. Due to the compelling human factors that play a vital role in decision-making processes related to job search, job satisfaction, etc. we are particularly interested in inter-disciplinary approaches that can support job knowledge discovery.

KW - Job knowledge

KW - Web data

KW - Social media

KW - Employers

KW - Job search

KW - Job posting

KW - Labor market

KW - Job knowledge

KW - Web data

KW - Social media

KW - Employers

KW - Job search

KW - Job posting

KW - Labor market

U2 - 10.1145/3342220.3349532

DO - 10.1145/3342220.3349532

M3 - Preface/postscript

SN - 9781450368858

SP - 305

EP - 306

BT - HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media

A2 - Atzenbeck, Claus

A2 - Rubart, Jessica

A2 - Millard, David E.

PB - Association for Computing Machinery

CY - New York, NY

ER -

Gadiraju U, Bohlouli M, Demartini G, Margaryan A. JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. In Atzenbeck C, Rubart J, Millard DE, editors, HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. New York, NY: Association for Computing Machinery. 2019. p. 305-306 https://doi.org/10.1145/3342220.3349532