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Authors: Markus Schwinn ; Norbert Kuhn and Stefan Richter

Affiliation: Fachhochschule Trier, Germany

Keyword(s): Knowledge management, Ontology, Visual query system, Ambient user support, Graphical query language.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Intelligent Agents ; Internet Technology ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Society, e-Business and e-Government ; Symbolic Systems ; Tools, Techniques and Methodologies for System Development ; Web Information Systems and Technologies

Abstract: The OnToBau research project aims to provide a way to classify, archive and effectively use business knowledge with the assistance of an ontology-based knowledge archive for small and medium companies from construction industry. This archive is intended to pro-actively provide users with information to assist them in their daily business process handling. The system consists of four main parts. The document converters prepare the different resources (EMails, Paperdocuments, PDFs etc.) that should be stored in the knowledge archive for the enclosed inference system. The inference system is the core component and extracts the information from the preprocessed resources. Ontologies provide the necessary domain knowledge. In order to exploit the available knowledge, a personal agent monitors the current activities of the user and tries to infer the intention from his behaviors. At certain points it automatically offers the user helpful information. Again ontologies are used to represent information about the business processes. In addition, the user has the option to search for information in the archive through the graphical user interface. The importance of simple query systems has already been identified in the area of database systems. This paper gives an overview of the OnToBau research project presenting a first approach to visual query for information in the knowledge archive. (More)

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Paper citation in several formats:
Schwinn, M.; Kuhn, N. and Richter, S. (2011). ONTOLOGY-BASED KNOWLEDGE MANAGEMENT - Graphical Query Editor for OWL Ontologies. In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS; ISBN 978-989-8425-55-3; ISSN 2184-4992, SciTePress, pages 235-240. DOI: 10.5220/0003491202350240

@conference{iceis11,
author={Markus Schwinn. and Norbert Kuhn. and Stefan Richter.},
title={ONTOLOGY-BASED KNOWLEDGE MANAGEMENT - Graphical Query Editor for OWL Ontologies},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS},
year={2011},
pages={235-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003491202350240},
isbn={978-989-8425-55-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS
TI - ONTOLOGY-BASED KNOWLEDGE MANAGEMENT - Graphical Query Editor for OWL Ontologies
SN - 978-989-8425-55-3
IS - 2184-4992
AU - Schwinn, M.
AU - Kuhn, N.
AU - Richter, S.
PY - 2011
SP - 235
EP - 240
DO - 10.5220/0003491202350240
PB - SciTePress