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

Ujwal Gadiraju, Mahdi Bohlouli, Gianluca Demartini, Anoush Margaryan

Publikation: Bidrag til bog/antologi/rapportForord/efterskriftForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelHT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media
RedaktørerClaus Atzenbeck, Jessica Rubart, David E. Millard
Antal sider2
Udgivelses stedNew York, NY
ForlagAssociation for Computing Machinery
Publikationsdato2019
Sider305-306
ISBN (Trykt)9781450368858
DOI
StatusUdgivet - 2019
Begivenhed30th ACM Conference on Hypertext and Social Media. HT '19 - Hof University of Applied Sciences, Hof, Tyskland
Varighed: 17 sep. 201920 sep. 2019
Konferencens nummer: 30
https://human.iisys.de/ht2019/

Konference

Konference30th ACM Conference on Hypertext and Social Media. HT '19
Nummer30
LokationHof University of Applied Sciences
LandTyskland
ByHof
Periode17/09/201920/09/2019
Internetadresse

Emneord

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

Citer dette

Gadiraju, U., Bohlouli, M., Demartini, G., & Margaryan, A. (2019). JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. I C. Atzenbeck, J. Rubart, & D. E. Millard (red.), HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media (s. 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. red. / Claus Atzenbeck ; Jessica Rubart ; David E. Millard. New York, NY : Association for Computing Machinery, 2019. s. 305-306
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Gadiraju, U, Bohlouli, M, Demartini, G & Margaryan, A 2019, JobNoW’19 – 1st International Workshop on Job Knowledge Discovery on the Web & Social Media. i C Atzenbeck, J Rubart & DE Millard (red), HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, New York, NY, s. 305-306, 30th ACM Conference on Hypertext and Social Media. HT '19, Hof, Tyskland, 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. red. / Claus Atzenbeck; Jessica Rubart; David E. Millard. New York, NY : Association for Computing Machinery, 2019. s. 305-306.

Publikation: Bidrag til bog/antologi/rapportForord/efterskriftForskningpeer review

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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.

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KW - Web data

KW - Social media

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KW - Job search

KW - Job posting

KW - Labor market

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KW - Web data

KW - Social media

KW - Employers

KW - Job search

KW - Job posting

KW - Labor market

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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. I Atzenbeck C, Rubart J, Millard DE, red., HT '19. Proceedings of the 30th ACM Conference on Hypertext and Social Media. New York, NY: Association for Computing Machinery. 2019. s. 305-306 https://doi.org/10.1145/3342220.3349532