Term Weighting: A Multi-View Fuzzy Ontology Based Approach

Zeinab E. Al-Arab; Ahmed M. Gadallah; Hesham M. Hefny

doi:10.4028/www.scientific.net/AMM.519-520.857

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Term Weighting: A Multi-View Fuzzy Ontology Based...

Term Weighting: A Multi-View Fuzzy Ontology Based Approach

Abstract:

The paper proposes a term weighting algorithm for research papers. It weighs a research papers annotated keywords according to a certain view. It uses a predefined multi-view fuzzy ontology and a stemmer NLP tool. The proposed algorithm is tested and results are compared with another ontology-based term weighting algorithm. The tests show that it enhances the resulted weights accuracy and decreases the execution time.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

857-862

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.857

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Online since:

February 2014

Authors:

Zeinab E. Al-Arab, Ahmed M. Gadallah*, Hesham M. Hefny

Keywords:

Document Annotation, Fuzzy Ontology, Term Weighting

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