Abstract
A profile describes a set of skills a person may have or a set of skills required for a particular job. Profile matching aims to determine how well a given profile fits to a requested profile. The research reported in this paper starts from exact matching measure of [21]. It is extended then by matching filters in ontology hierarchies, since profiles naturally determine filters in the subsumption relation. Next we take into consideration similarities between different skills that are not related by the subsumption relation. Finally, a totally different approach, probabilistic matching based on the maximum entropy model is analyzed.
| Original language | English |
|---|---|
| Title of host publication | Foundations of Information and Knowledge Systems: 9th International Symposium, FoIKS 2016, Linz, Austria, March 7-11, 2016. Proceedings |
| Editors | Gyssens, Marcand Simari, Guillermo |
| Place of Publication | Cham |
| Publisher | Springer International Publishing |
| Pages | 149-168 |
| Number of pages | 20 |
| Volume | 9616 |
| ISBN (Print) | 978-3-319-30024-5 |
| DOIs | |
| Publication status | Published - 2016 |
Fields of science
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102022 Software development
- 102030 Semantic technologies
- 102033 Data mining
- 509018 Knowledge management
JKU Focus areas
- Computation in Informatics and Mathematics