Jorge Martinez-Gil, Alejandra Lorena Paoletti, Klaus-Dieter Schewe,
"A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain"
, in Ivanovic Mirjana, Thalheim Bernhard, Catania Barbara, Schewe Klaus-Dieter, Kirikova Marite, Saloun Petr, Dahanayake Ajantha, Cerquitelli Tania, Baralis Elena, Michiardi Pietro: New Trends in Databases and Information Systems: ADBIS 2016 Short Papers and Workshops, BigDap, DCSA, DC, Prague, Czech Republic, August 28-31, 2016, Proceedings, Vol. 637, Springer, Cham, Seite(n) 157-167, 8-2016, ISBN: 978-3-319-44066-8
Original Titel:
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain
Sprache des Titels:
Englisch
Original Buchtitel:
New Trends in Databases and Information Systems: ADBIS 2016 Short Papers and Workshops, BigDap, DCSA, DC, Prague, Czech Republic, August 28-31, 2016, Proceedings
Original Kurzfassung:
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.