Date of Award
2016
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Committee Chair
Harry Delugach
Committee Member
Letha Etzkorn
Committee Member
Daniel Rochowiak
Subject(s)
Knowledge representation (Information theory), Natural language processing (Computer science)
Abstract
Synonym support is an important aspect of querying knowledge bases, but current approaches to generating such support is difficult and error-prone. Automating the process of identifying synonyms in structured knowledge representations is therefore an important pursuit. This thesis presents an ensemble approach that incorporates several methods and knowledge sources heretofore used individually. A case study shows that the approach performs better than individual methods, and that it may be used to reduce efforts to identify synonyms.
Recommended Citation
Taylor, Thomas C., "Semi-automatic identification of synonyms in structured knowledge representations" (2016). Theses. 173.
https://louis.uah.edu/uah-theses/173