Details
| Original language | English |
|---|---|
| Title of host publication | HT 2019 |
| Subtitle of host publication | Proceedings of the 30th ACM Conference on Hypertext and Social Media |
| Place of Publication | New York |
| Pages | 305-306 |
| Number of pages | 2 |
| ISBN (electronic) | 9781450368858 |
| Publication status | Published - 12 Sept 2019 |
| Event | 30th ACM Conference on Hypertext and Social Media, HT 2019 - Hof, Germany Duration: 17 Sept 2019 → 20 Sept 2019 |
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
- Employers, Job Knowledge, Job Posting, Job Search, Labor Market, Social Media, Web Data
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
Cite this
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HT 2019: Proceedings of the 30th ACM Conference on Hypertext and Social Media. New York, 2019. p. 305-306.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Jobnow'19
T2 - 30th ACM Conference on Hypertext and Social Media, HT 2019
AU - Gadiraju, Ujwal Kumar
AU - Demartini, Gianluca
AU - Bohlouli, Mahdi
AU - Margaryan, Anoush
N1 - Funding information: This workshop is supported in part by the Erasmus+ project DISKOW (grant no. 60171990).
PY - 2019/9/12
Y1 - 2019/9/12
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 - Employers
KW - Job Knowledge
KW - Job Posting
KW - Job Search
KW - Labor Market
KW - Social Media
KW - Web Data
UR - http://www.scopus.com/inward/record.url?scp=85073379158&partnerID=8YFLogxK
U2 - 10.1145/3342220.3349532
DO - 10.1145/3342220.3349532
M3 - Conference contribution
AN - SCOPUS:85073379158
SP - 305
EP - 306
BT - HT 2019
CY - New York
Y2 - 17 September 2019 through 20 September 2019
ER -