Personal Ontology: Infusion of Frequency and Similarity
Date Issued
2015
Date
2015
Author(s)
Liu, Ting-Wei
Abstract
Nowadays, personalization is fast becoming a must have in any system that directly interacts with a user. The reason is because different people have different views towards the world that they perceive, as a result one size fit all software solutions are on the edge of becoming obsolete. By personalization, we can achieve a higher chance that people obtain the results that they anticipate either consciously or unconsciously, which in turn provide the users with an overall improved experience. The goal of this thesis is to create a system that generates users’ Personal Ontologies based on their personal writings which are extracted from their mobile smartphones. These ontologies are used for refining users’ queries by keywords that the users are not only interested in, but also important words in their day to day vocabulary. As a result the Personal Ontology has been designed to function as a prediction engine suggesting the optimal next words whilst typing in a software keyboard. Not only is this keyboard already based on a person’s writing style, but it will continue to become more intelligent, in that it provides more accurate predictions as time goes by.
Subjects
personal
ontology
similarity
frequency
query
modeling
construction
Type
thesis
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