Master of Science (MS)
Computer Science (Arts and Sciences)
Date of Defense
First Committee Member
Ubbo Visser - Committee Chair
Second Committee Member
Geoff Sutcliffe - Committee Member
Third Committee Member
Stephan Schuerer - Outside Committee Member
An ontology is a formal, explicit specification of a shared conceptualization. Formalizing an ontology for a domain is a tedious and cumbersome process. It is constrained by the knowledge acquisition bottleneck (KAB). There exists a large number of text corpora that can be used for classification in order to create ontologies with the intention to provide better support for the intended parties. In our research we provide a novel unsupervised bottom-up ontology generation method. This method is based on lexico-semantic structures and Bayesian reasoning to expedite the ontology generation process. This process also provides evidence to domain experts to build ontologies based on top-down approaches.
An Ontology; Learning; Bayesian Inference
Abeyruwan, Saminda Wishwajith, "PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation using Probabilistic Methods" (2010). Open Access Theses. Paper 28.