PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

From social network to light-weight ontology
Dunja Mladenić, Marko Grobelnik and Blaz Fortuna
In: IJCAI TextLink 2007, 6-12 Jan 2007, Hyderabad, India.

Abstract

We address the problem of constructing a light-weight ontology from social network data. As an example we use social network of a mid size research institution obtained based on e-mail communication. The main contribution is an architecture consisting from five major steps that enable transformation of the data from a given e-mail transactions recordings to an ontology estimating the structure of the organization. Once having a set of sparse vectors, we apply an approach to semi-automated ontology construction as implemented in the OntoGen tool. The experiments and illustrative evaluation show that our approach is useful and applicable in real life situations where the goal is to model social structures based on communication records.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:3761
Deposited By:Dunja Mladenić
Deposited On:16 February 2008