Latent semantic analysis (LSA) and ontological concepts to support e-recruitment
Other Title(s)
التحليل الدلالي الكامن و مفاهيم الدلائل لدعم التوظيف الإلكتروني
Dissertant
al-lasassmah, Khalil Qaftan Ibrahim
Thesis advisor
Comitee Members
al-Sadi, Jihad
Nasir al-Din, Hibah
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2013
English Abstract
Nowadays, supporting e-recruitment by new techniques and applications is one of the major research topics of applied semantic ontology.
Most of the latest works, in this domain, has focused on analyzing the contents of CVs and matching them with job postings in order to find the most relevant CVs to a certain job posting.
In this research, we present a new approach based on combining ontological concepts and latent semantic analysis together to match between CVs and job postings.
This research investigates building a matrix in LSA that is based on using the ontological concepts and instances instead of words that are used in the traditional approaches.
It also investigates enhancing the clustering using the concepts and instances.
Our approach is better than other approaches in the sense that it takes into account the meanings and relationships among words, and also considers different words that have same meaning and words that are semantically equivalent.
By implementing our methodology on a set of CVs and matching them with an actual job posting, and comparing our results with the results of other traditional approaches, our approach achieved 84% accuracy, which higher than all other approaches.
Main Subjects
Information Technology and Computer Science
No. of Pages
69
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature survey.
Chapter Three : The proposed model.
Chapter Four : Clustering of CVs.
Chapter Five : Experimental result.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
al-lasassmah, Khalil Qaftan Ibrahim. (2013). Latent semantic analysis (LSA) and ontological concepts to support e-recruitment. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-699538
Modern Language Association (MLA)
al-lasassmah, Khalil Qaftan Ibrahim. Latent semantic analysis (LSA) and ontological concepts to support e-recruitment. (Master's theses Theses and Dissertations Master). Middle East University. (2013).
https://search.emarefa.net/detail/BIM-699538
American Medical Association (AMA)
al-lasassmah, Khalil Qaftan Ibrahim. (2013). Latent semantic analysis (LSA) and ontological concepts to support e-recruitment. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-699538
Language
English
Data Type
Arab Theses
Record ID
BIM-699538