Wikification of Learning Objects Using Metadata as an Alternative Context for Disambiguation
Reyna Melara Abarca1,2, Claudia Perez-Martinez3, Alexander Gelbukh1, Gabriel López Morteo3, Magally Martinez Reyes4, and Moisés Pérez López4
1 Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico. reynamelara@gmail.com, www.gelbukh.com
2 Escuela Superior de Cómputo (ESCOM), Instituto Politécnico Nacional, Mexico.
3 Instituto de Ingeniería, Universidad Autónoma de Baja California, Mexico. claudia.perez92@uabc.edu.mx
]]> 4 Universidad Autónoma del Estado de México, Mexico.
Article received on 27/08/2014.
Accepted on 27/11/2014.
Abstract
We present a methodology to wikify learning objects. Our proposal is focused on two processes: word sense disambiguation and relevant phrase selection. The disambiguation process involves the use of the learning object's metadata as either additional or alternative context. This increases the probability of success when a learning object has a low quality context. The selection of relevant phrases is performed by identifying the highest values of semantic relatedness between the main subject of a learning object and the phrases. This criterion is useful for achieving the didactic objectives of the learning object.
Keywords: Word sense disambiguation, wikification, natural language processing, learning objects.
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