TY - GEN
T1 - A novel asymmetric semantic similarity measurement for semantic job matching
AU - Zhu, Bo
AU - Li, Xin
AU - Sancho, Jesus Bobadilla
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Applying semantic similarity techniques in semantic matching applications can help to match information not only lexically but also semantically. In this paper, we extend the conventional semantic similarity measures for retrieving and ranking employment candidates in the case of semantic job matching. A framework for calculating asymmetric conceptual skill similarity is proposed, and validated in a use case of programming job matching. Within this case, a specific skills taxonomy has been formalized in Simple Knowledge Organization System (SKOS). A novel asymmetric semantic similarity measurement based on weighted-path-counting is proposed and validated in the use case. The proposed algorithms are evaluated by comparing them to user ranks, and our experimental results show that the proposed algorithms have better performance in ranking comparing to the conventional algorithms.
AB - Applying semantic similarity techniques in semantic matching applications can help to match information not only lexically but also semantically. In this paper, we extend the conventional semantic similarity measures for retrieving and ranking employment candidates in the case of semantic job matching. A framework for calculating asymmetric conceptual skill similarity is proposed, and validated in a use case of programming job matching. Within this case, a specific skills taxonomy has been formalized in Simple Knowledge Organization System (SKOS). A novel asymmetric semantic similarity measurement based on weighted-path-counting is proposed and validated in the use case. The proposed algorithms are evaluated by comparing them to user ranks, and our experimental results show that the proposed algorithms have better performance in ranking comparing to the conventional algorithms.
KW - Information Retrieval
KW - Job Matching
KW - Semantic Matching
KW - Semantic Similarity
UR - http://www.scopus.com/inward/record.url?scp=85050186823&partnerID=8YFLogxK
U2 - 10.1109/SPAC.2017.8304267
DO - 10.1109/SPAC.2017.8304267
M3 - Conference contribution
AN - SCOPUS:85050186823
T3 - 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
SP - 152
EP - 157
BT - 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Y2 - 15 December 2017 through 17 December 2017
ER -