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Author: Abdulrahman Al-Haimi

Affiliation: University of Waterloo, Canada

ISBN: 978-989-758-035-2

Keyword(s): Text Mining, Matching, Knowledge Users, Knowledge Creators, Clustering, Classification, Management, Experimentation, Exploration, Performance.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Predictive Modeling ; Semi-Structured and Unstructured Data ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Text Analytics ; Web Analytics

Abstract: 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 Linkedin.com and BASE-search.net. 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 th e introduction and analysis of a novel prototype application that attempts to bridge the gap between research performed in industry and academia. (More)

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Paper citation in several formats:
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

@conference{data14,
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,},
year={2014},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004942000050014},
isbn={978-989-758-035-2},
}

TY - CONF

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

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