Abstract
WordNet is a huge repository being used as a tool in various fields. With an increasing number of applications referring to WordNet as a dictionary, several attempts have been made to update it. The paper proposes to extend the huge repository by adding words and relationships derived from students’ class notes through wikidata. These terms can be phrases, technical terms, or any subject specific terminology appearing in students’ notes of a specific subject. Although various WordNet enriching techniques are available, it is for the first time that subject specific terminology is being added. The resulting version of WordNet has some very common phrases and technical terms along with the generic terms. Making subject specific and generic terms available in a hierarchy can improve the accuracy of various applications like text summarization and clustering for text belonging to a specific domain.
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Kanika, Chakraverty, S., Chakraborty, P., Aggarwal, A., Madan, M., Gupta, G. (2022). Enriching WordNet with Subject Specific Out of Vocabulary Terms Using Existing Ontology. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2641-8_19
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DOI: https://doi.org/10.1007/978-981-16-2641-8_19
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