Matching Knowledge Users with Knowledge Creators using Text Mining Techniques

Abdulrahman Al-Haimi


Matching knowledge users with knowledge creators from multiple data sources that share very little similarity in content and data structure is a key problem. Solving this problem is expected to noticeably improve research commercialization rate. In this paper, we discuss and evaluate the effectiveness of a comprehensive methodology that automates classic text mining techniques to match knowledge users with knowledge creators. We also present a prototype application that is considered one of the first attempts to match knowledge users with knowledge creators by analyzing records from and The matching procedure is performed using supervised and unsupervised models. Surprisingly, experimental results show that K-NN classifier shows a slight performance improvement compared to its competition when evaluated in a similar context. After identifying the best-suited methodology, system architecture is designed. One of the main contributions of this research is the introduction and analysis of a novel prototype application that attempts to bridge the gap between research performed in industry and academia.


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Paper Citation

in Harvard Style

Al-Haimi A. (2014). Matching Knowledge Users with Knowledge Creators using Text Mining Techniques . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 5-14. DOI: 10.5220/0004942000050014

in Bibtex Style

author={Abdulrahman Al-Haimi},
title={Matching Knowledge Users with Knowledge Creators using Text Mining Techniques},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},

in EndNote Style

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Matching Knowledge Users with Knowledge Creators using Text Mining Techniques
SN - 978-989-758-035-2
AU - Al-Haimi A.
PY - 2014
SP - 5
EP - 14
DO - 10.5220/0004942000050014