Sense based organization of descriptive data

— In this paper we propose a new technique allowing to map descriptive data into relative distance space, which is based primarily on senses of the terms stored in our data. We use WordNet ontology to retrieve multiple senses of words with the aim of multidimensional representation of data. The focus of this work is mainly on the slicing of available ontology into multiple dimensions where each dimension reflects approximation of a single general sense reflecting broad context of terms/words stored in our document repository. We have concentrated on discovery of appropriate similarity measurements and constructions of data driven dimension. It benefits quality of generated dimensions and provides a clear view of the whole data repository in low dimensional context driven space.

• Type: Conference
• Year: 2007
• Where: SMC
• Authors: M. Shahriar Hossain, Monika Akbar, Rafal A. Angryk
• Keywords: Control Systems, Data Driven Dimension, Dimension Reflects Approximation, Relative Distance Space, SMC 2007