Browse > Article

Inference Interpretation of Job Data using Ontology  

Kim, Kwangje (한밭대학교 정보통신전문대학원 컴퓨터공학과)
Kim, Jeong Ho (한밭대학교 컴퓨터공학과)
Publication Information
Journal of Platform Technology / v.10, no.3, 2022 , pp. 69-78 More about this Journal
Abstract
Job offer and job search data related to employment are in the form of highly-unstructured texts that occur in real-time, NCS duty, learning modules, and job dictionaries. Job announcements and training information have a high data value amid changes in industrial technology, such as the Fourth Industrial Evolution. This study developed a job data dictionary by defining relevant data to intuitively understand and harness information on job offers and job searches. This study also designed, constructed, and evaluated a data map based on ontology to enable linking and inferring data about public announcement-job-training. Through this, it was found that the inference function centered on work ability enables QoS support that can satisfy users by minimizing mismatch between consumers and optimizing the data dictionary.
Keywords
job; unstructured data; ontology; data map; data dictionary;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Sukyoung Kim, "Using Description Logic and Rule Language for Web Ontology Medeling", Korea Intelligent Information System Society, pp.277-285, 2007.
2 David Reinsel, John Gantz, John Rydning. "Data Age 2025: The Evolution of Data to Life-Critical Don't Focus on Big Data; Focus on the Data That's Big", An IDC White Paper, 2017.
3 Korea Employment Information Service, "Korean Employment Classification of Occupations", 2018
4 A. K. Moon, Y. M. Park, S. G. Kim, "Technical Trends of Semantic Annotation for Semantic Web Services", ETRI Electronic communication trend analysis, Vol25, No2, pp.121~131, 2010.
5 Frey & Osborne, "THE FUTURE OF EMPLOYMENT: HOW SUSCEPTIBLE ARE JOBS TO COMPUTERISATION?", Technological Forecasting and Social Change, Vol 114, 2017, pp. 254-280   DOI
6 Eunkyong Kim, youngjoon Nam. "The Comparative Study on the Methodologies of Building Ontology toward Semantic Web", Journal of information management, Vol35 No2, pp.57-58, 2004.   DOI
7 Sukyoung Kim, "Study on Unstructured Data Analysis Methods such as Job Openings and Job Search Information", Hanbat University Industry-University Cooperation Foundation, Korea, 2019
8 Ministry of Employment and Labor, "National Competency Standards(NCS) Manual", 2021
9 Mizoguchi R. "Ontology Engineering, The Core Technology of Next-generation Web and Knowledge processing", Duyangsa Publishing CO., Seoul, 2009.
10 Sukyoung Kim, Keehong Ahn, "Web Ontology Modeling Based on Description Logic and SWRL", Journal of the Korean Society for Information Management, Vol25, No1, pp.149-171, 2008.   DOI
11 Young B. Park, Young B, Park. "Rule configuration in self adaptive system using SWRL", Journal of the semiconductor & display technology, Vol.17, No.1, pp.6~11, 2018.
12 Sukyoung Kim, "An Implementation of Inference-Based Web Ontology for Intelligent Image Retrieval System", Ph.D. dissertation, School of Computer Eng., Hanbat Univ., Daejeon, Korea, 2007.