Wikification of Learning Objects Using Metadata as an Alternative Context for Disambiguation

Reyna Melara Abarca, Claudia Perez-Martinez, Alexander Gelbukh, Gabriel López Morteo, Magally Martinez Reyes, Moisés Pérez López

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)755-765
Number of pages11
JournalComputacion y Sistemas
Volume18
Issue number4
DOIs
StatePublished - 2015

Keywords

  • Learning objects
  • Natural language processing
  • Wikification
  • Word sense disambiguation

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