Semantic Searching IT Careers Concepts Based on Ontology
Patsakorn Singto 1and Anirach Mingkhwan 2
1. Department of Information Technology, Faculty of Information Technology , King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
2. Department of Information Technology, Faculty of Industrial Technology and Management , King Mongkut’s University of Technology North Bangkok, Prachinburi, Thailand
2. Department of Information Technology, Faculty of Industrial Technology and Management , King Mongkut’s University of Technology North Bangkok, Prachinburi, Thailand
Abstract—Nowadays, there are a lot of IT Careers (ITC) which are not stored in a hierarchical structure of ITC specification and matching search based on keyword have widely use search which cannot acquire satisfactory search results. The essential reason is that traditional ITC search lacks semantic. In this paper, we propose searching ITC concepts based on ontology which is associated specification with semantic annotation. IT Careers Ontology (ITCO) defined structure consists of three main parts: IT Career Category, IT Skill and IT Education which are described with announcing the recruitment on web jobs ads that are instances of a models. The experimental results show that semantic search ITC can overcome limitations of search by comparison with traditional keyword search mode, and achieve higher recall ration and precision ratio.
Index Term—semantic search, ontology, OWL-QL, IT careers.
Cite: Patsakorn Singto and Anirach Mingkhwan , "Semantic Searching IT Careers Concepts Based on Ontology," Journal of Advanced Management Science, Vol. 1, No. 1, pp. 102-106, March 2013. doi: 10.12720/joams.1.1.102-106
Index Term—semantic search, ontology, OWL-QL, IT careers.
Cite: Patsakorn Singto and Anirach Mingkhwan , "Semantic Searching IT Careers Concepts Based on Ontology," Journal of Advanced Management Science, Vol. 1, No. 1, pp. 102-106, March 2013. doi: 10.12720/joams.1.1.102-106