Semantic web enabled information systems: personalized views on web data

Authors:
Robert Baumgartner;Christian Enzi;Nicola Henze;Marc Herrlich;Marcus Herzog;Matthias Kriesell;Kai Tomaschewski
Affiliations:
DBAI, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;DBAI, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;ISI- Semantic Web Group, University of Hannover, Hannover, Germany;ISI- Semantic Web Group, University of Hannover, Hannover, Germany;DBAI, Institute of Information Systems, Vienna University of Technology, Vienna, Austria;Institute of Mathematics (A), University of Hannover, Hannover, Germany;ISI- Semantic Web Group, University of Hannover, Hannover, Germany
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Year:
2005

Citing 6
Cited 1

Monadic datalog and the expressive power of languages for web information extraction

Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A brief survey of web data extraction tools

ACM SIGMOD Record
Visual Web Information Extraction with Lixto

Proceedings of the 27th International Conference on Very Large Data Bases
TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web

ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Toolkits for Generating Wrappers

NODe '02 Revised Papers from the International Conference NetObjectDays on Objects, Components, Architectures, Services, and Applications for a Networked World
Web wrapper induction: a brief survey

AI Communications

Ontology-Based User Modelling Personalization: Analyzing the Requirements of a Semantic Learning Portal

WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a methodology and a framework for personalized views on data available on the World Wide Web are proposed. We describe its main two ingredients, Web data extraction and ontology-based personalized content presentation. We exemplify the usage of these methodologies with a sample application for personalized publication browsing.