Latent semantic analysis (LSA)‎ and ontological concepts to support e-recruitment

العناوين الأخرى

التحليل الدلالي الكامن و مفاهيم الدلائل لدعم التوظيف الإلكتروني

مقدم أطروحة جامعية

al-lasassmah, Khalil Qaftan Ibrahim

مشرف أطروحة جامعية

Kayid, Ahmad K. A.

أعضاء اللجنة

al-Sadi, Jihad
Nasir al-Din, Hibah

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2013

الملخص الإنجليزي

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.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

69

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-699538