User analysis and visualization from a semantic blog system

Authors:
Jeong-Woo Son;Yong-Jin Han;Tae-Gil Noh;Seong-Bae Park;Se-Young Park
Affiliations:
Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea;Kyungpook National University, Daegu, South Korea
Venue:
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
Year:
2010

Citing 5
Cited 0

Information Theory, Inference & Learning Algorithms

Information Theory, Inference & Learning Algorithms
Collective knowledge systems: Where the Social Web meets the Semantic Web

Web Semantics: Science, Services and Agents on the World Wide Web
E-Learning meets the Social Semantic Web

ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
Recommendations based on semantically enriched museum collections

Web Semantics: Science, Services and Agents on the World Wide Web
Experience Search: Accessing the Emergent Knowledge from Annotated Blog Postings

CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a blog system which analyzes its users by extracting information from blog posts and visualizes the analyzed results. In this system, the events appeared in the blog posts are regarded as the information on bloggers and are stored in the event ontology. When a user submits queries about people, the information on bloggers is extracted from the ontology. It is used to find the paragons of the blogger communities, and then the user is compared with the paragons. The system presents the comparison results with four visualization components. A geographical visualization component shows both the volumes of the communities and the distances between the compared user and the paragons. An ego-central network presents actual connections between the user and the community members. A detail information chart enumerates the properties used in the comparisons in detail. Finally, a trend chart illustrates their change in time.