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A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet

A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet

Bassel Alkhatib, Ammar Alnahhas, Firas Albadawi
Copyright: © 2014 |Volume: 9 |Issue: 2 |Pages: 13
ISSN: 1548-1093|EISSN: 1548-1107|EISBN13: 9781466657335|DOI: 10.4018/ijwltt.2014040101
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MLA

Alkhatib, Bassel, et al. "A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet." IJWLTT vol.9, no.2 2014: pp.1-13. http://doi.org/10.4018/ijwltt.2014040101

APA

Alkhatib, B., Alnahhas, A., & Albadawi, F. (2014). A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 9(2), 1-13. http://doi.org/10.4018/ijwltt.2014040101

Chicago

Alkhatib, Bassel, Ammar Alnahhas, and Firas Albadawi. "A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 9, no.2: 1-13. http://doi.org/10.4018/ijwltt.2014040101

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Abstract

As text sources are getting broader, measuring text similarity is becoming more compelling. Automatic text classification, search engines and auto answering systems are samples of applications that rely on text similarity. Learning management systems (LMS) are becoming more important since electronic media is getting more publicly available. As LMS continuously needs content enrichment and the web is getting richer, automatic collection of learning materials becomes an innovative idea. Intelligent agents can be used with a similarity measurement method to implement the automatic collection process. This paper presents a new method for measuring text similarity using the well-known WordNet Ontology. The proposed method assumes that a text is similar to another if it represents a more specific semantic. This is more suitable for LMS content enrichment as learning content can usually be expanded by a more specific one. This paper shows how the hierarchy of WordNet can be taken advantage of to determine the importance of a word. It is also shown how similarity method within an e-learning system is exploited to achieve two goals. The first one is the enrichment of the e-learning content, and the second is the detection of semantically similar questions in e-learning questions banks.

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