Publications

5 Publications matching the given criteria: (Clear all filters)
Publication type: InBook5

Abstract

Not specified

Authors: K. Buckow, D. Ammon, R. Bild, M. Boeker, T. Ganslandt, B. Haarbrandt, S. Haferkamp, U. Sax, J. Schepers, B. Schreiweis, H. Stenzhorn

Date Published: 2019

Publication Type: InBook

Abstract

Not specified

Authors: B. Schreiweis, D. Ammon, M. Sedlmayr, F. Albashiti, T. Wendt

Date Published: 2019

Publication Type: InBook

Abstract (Expand)

The realisation of a complex web portal, including the modelling of content, is a challenging process. The contents describe different interconnected entities that form a complex structure. The entities and their relations have to be systematically analysed, and the content has to be specified and integrated into a content management system (CMS). Ontologies provide a suitable solution for modelling and specifying complex entities and their relations. However, the functionality for automated import of ontologies is not available in current content management systems. In order to describe the content of a web portal, we developed an ontology. Based on this ontology, we implemented a pipeline that allows the specification of the portal’s content and its import into the CMS Drupal. Our method is generic. It enables the development of web portals with the focus on a suitable representation of structured knowledge (entities, their properties and relations). Furthermore, it makes it possible to represent existing ontologies in such a way that their content can be understood by users without knowledge of ontologies and their semantics. Our approach has successfully been applied in building the LHA (Leipzig Health Atlas) portal, which provides access to metadata, data, publications and methods from various research projects at the University of Leipzig.

Authors: A. Uciteli, C. Beger, C. Rillich, F. A. Meineke, M. Loffler, H. Herre

Date Published: 2018

Publication Type: InBook

Abstract

Not specified

Authors: T. Ganslandt, M. Boeker, Matthias Löbe, F. Prasser, J. Schepers, S. C. Semler, S. Thun, U. Sax

Date Published: 2018

Publication Type: InBook

Abstract (Expand)

Epidemiological studies analyze and monitor the health state of a population. They typically use different methods and techniques to capture and to integrate data of interest before they can be analyzed. As new technologies and, thus, devices are available for data capturing, such as wearables, new requirements arise for current data integration approaches. In this paper, we review current techniques and approaches as well as new trends in data capturing and the resulting requirement for its integration.

Authors: T. Kirsten, J. Bumberger, G. Ivanova, P. Dietrich, C. Engel, M. Loeffler, W. Kiess

Date Published: 2017

Publication Type: InBook

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