TY - GEN
T1 - A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain
AU - Martinez-Gil, Jorge
AU - Paoletti, Alejandra Lorena
AU - Schewe, Klaus-Dieter
PY - 2016/8
Y1 - 2016/8
N2 - We face the complex problem of timely, accurate and mutually satisfactory mediation between job offers and suitable applicant profiles by means of semantic processing techniques. In fact, this problem has become a major challenge for all public and private recruitment agencies around the world as well as for employers and job seekers. It is widely agreed that smart algorithms for automatically matching, learning, and querying job offers and candidate profiles will provide a key technology of high importance and impact and will help to counter the lack of skilled labor and/or appropriate job positions for unemployed people. Additionally, such a framework can support global matching aiming at finding an optimal allocation of job seekers to available jobs, which is relevant for independent employment agencies, e.g. in order to reduce unemployment.
AB - We face the complex problem of timely, accurate and mutually satisfactory mediation between job offers and suitable applicant profiles by means of semantic processing techniques. In fact, this problem has become a major challenge for all public and private recruitment agencies around the world as well as for employers and job seekers. It is widely agreed that smart algorithms for automatically matching, learning, and querying job offers and candidate profiles will provide a key technology of high importance and impact and will help to counter the lack of skilled labor and/or appropriate job positions for unemployed people. Additionally, such a framework can support global matching aiming at finding an optimal allocation of job seekers to available jobs, which is relevant for independent employment agencies, e.g. in order to reduce unemployment.
UR - https://www.scopus.com/pages/publications/84984868388
U2 - 10.1007/978-3-319-44066-8_17
DO - 10.1007/978-3-319-44066-8_17
M3 - Conference proceedings
SN - 978-3-319-44066-8
VL - 637
T3 - Communications in Computer and Information Science
SP - 157
EP - 167
BT - New Trends in Databases and Information Systems: ADBIS 2016 Short Papers and Workshops, BigDap, DCSA, DC, Prague, Czech Republic, August 28-31, 2016, Proceedings
A2 - Thalheim, Bernhard
A2 - Michiardi, Pietro
A2 - Schewe, Klaus Dieter
A2 - Kirikova, Mārīte
A2 - Šaloun, Petr
A2 - Ivanović, Mirjana
A2 - Cerquitelli, Tania
A2 - Baralis, Elena
A2 - Dahanayake, Ajantha
A2 - Catania, Barbara
PB - Springer
CY - Cham
ER -