loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jessica Huster 1 and Andreas Becks 2

Affiliations: 1 Fraunhofer-Institute for Applied Information Technology FIT and RWTH Aachen University, Germany ; 2 RWTH Aachen University, Germany

ISBN: 978-989-8425-05-8

Keyword(s): Text mining, Concept-drifts, Ontology evolution.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Strategic Decision Support Systems ; Web Information Systems and Technologies

Abstract: Ontologies are used as knowledge bases to exchange, extract and integrate information in information retrieval and search. They provide a shared and common understanding that reaches across people and application systems. In reality, domain specific and technical knowledge evolve over time, and so must ontologies. Creative domains, as for example the home textile industry, are representatives for quickly evolving domains. In this domain it is also important to provide methodologies for the visualisation of knowledge evolution. In this paper we report on our ontology-based trend analysis tool, which supports marketing experts and designers to identify trend drifts, and to compare the analysis results against the ontology. Furthermore means to adapt and evolve the ontology in accordance with the changing domain are provided.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.232.124.77

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Huster J.; Becks A. and (2010). VISUAL TREND ANALYSIS - Ontology Evolution Support for the Trend Related Industry Sector.In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-05-8, pages 46-53. DOI: 10.5220/0002901600460053

@conference{iceis10,
author={Jessica Huster and Andreas Becks},
title={VISUAL TREND ANALYSIS - Ontology Evolution Support for the Trend Related Industry Sector},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2010},
pages={46-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002901600460053},
isbn={978-989-8425-05-8},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - VISUAL TREND ANALYSIS - Ontology Evolution Support for the Trend Related Industry Sector
SN - 978-989-8425-05-8
AU - Huster, J.
AU - Becks, A.
PY - 2010
SP - 46
EP - 53
DO - 10.5220/0002901600460053

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.