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A GRAPHICAL WORKBENCH FOR KNOWLEDGE WORKERS

Topics: Design Methodology and Cognitive Factors in Design; e-Learning; Functional and Non-Functional Requirements; Human Factors; Intelligent User Interfaces; Knowledge Management; Modeling Concepts and Information Integration Tools; Modeling Formalisms, Languages and Notations; Semantic Web Technologies; User Needs

Authors: Heiko Haller ; Andreas Abecker and Max Völkel

Affiliation: FZI Research Center for Information Technology, Germany

Keyword(s): Zooming user interface, Diagrammatic knowledge representation, HCI design, Knowledge worker.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Cloud Computing ; Data Engineering ; Design Methodology and Cognitive Factors in Design ; e-Business ; Education/Learning ; e-Learning ; Enterprise Information Systems ; Functional and Non-Functional Requirements ; Health Information Systems ; Human Factors ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Intelligent User Interfaces ; Knowledge Management ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Modeling Concepts and Information Integration Tools ; Modeling Formalisms, Languages and Notations ; Ontologies and the Semantic Web ; Physiological Computing Systems ; Semantic Web Technologies ; Services Science ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; User Needs ; Web Information Systems and Technologies

Abstract: We present iMapping, a novel approach for visually structuring information objects on the desktop. iMapping is developed on top of semantic desktop technologies and particularly supports personal knowledge management of knowledge workers. iMapping has been designed to combine the advantages of the three most important visual mapping approaches, Mind-Mapping, Concept Maps and Spatial Hypertext. We describe the design and prototypical implementation of iMapping—which is fundamentally based on deep zooming and nesting. iMapping bridges the gap between unstructured content (like informal text notes) and semantic models by allowing to easily create on-the-fly annotations with the whole range of content links, from vague associations to formal relationships. Our first experimental evaluations indicate a favorable user experience and functionality, compared with state-of-the-art, commercial Mind-Mapping software.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Haller, H.; Abecker, A. and Völkel, M. (2010). A GRAPHICAL WORKBENCH FOR KNOWLEDGE WORKERS. In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-8425-08-9; ISSN 2184-4992, SciTePress, pages 180-185. DOI: 10.5220/0002968601800185

@conference{iceis10,
author={Heiko Haller. and Andreas Abecker. and Max Völkel.},
title={A GRAPHICAL WORKBENCH FOR KNOWLEDGE WORKERS},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2010},
pages={180-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002968601800185},
isbn={978-989-8425-08-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A GRAPHICAL WORKBENCH FOR KNOWLEDGE WORKERS
SN - 978-989-8425-08-9
IS - 2184-4992
AU - Haller, H.
AU - Abecker, A.
AU - Völkel, M.
PY - 2010
SP - 180
EP - 185
DO - 10.5220/0002968601800185
PB - SciTePress