TextGrid as a Digital Ecosystem

Küster, Marc Wilhelm; Ludwig, Christoph; Aschenbrenner, Andreas

doi:10.1109/dest.2007.372029

Cited by 11 publications

(8 citation statements)

References 6 publications

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“…Digital ecosystems contain hu man and digital populations and their creation depends ex clusively of the interactions between humans and digital systems [14].…”

Section: Nature Ecosystems and Digital Ecosystemsmentioning

confidence: 99%

“…Recently, researchers have been using all three dimen sions to introduce digital ecosystems to the information and communication societies [11,12,13,14,15,16,17]. Ana logous to natural ecological communities, ecosystems are complex systems, dynamic and adaptative, and include di gital components that interact with each other and with the digital environment.…”

Section: Nature Ecosystems and Digital Ecosystemsmentioning

confidence: 99%

“…A digital ecosystem is a system that supports coopera tion, knowledge sharing, the development of open and ad aptative technologies and the evolution of knowledge rich environments [14,15,21]. Digital ecosystems contain hu man and digital populations and their creation depends ex clusively of the interactions between humans and digital systems [14].…”

Section: Nature Ecosystems and Digital Ecosystemsmentioning

confidence: 99%

“…Digital Ecosystems and Digital Learning Ecosystems have previously been presented [11,12,13,14,15,16,17]. We suggest the use of this approach to analyse the requirements of new digital learning tools.…”

Section: Introductionmentioning

confidence: 97%

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Analyzing requirements with the digital learning ecosystem approach

Ficheman

Lopes

2009

2009 3rd IEEE International Conference on Digital Ecosystems and Technologies

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Requirements analysis is a fundamental phase in the development of digital tools and concentrates essentially on computational aspects consisting on the identification of input and output flows as well as processing. Nevertheless, require ments analysis is difficult to conduct when contents and rela tions are complex and dynamic. Recently, the ecosystem ap proach has been used to understand and model phenomena that appear from the technology and its use. We propose to use this approach to conceive new digital learning tools during the requirements analysis. In this paper we present a Digital Learning Ecosystem definition and a model that can be applied to the conception of new educational tools. The detailed model includes a set of artefacts that support its application. The model applicability evaluation was achieved by applying it on previously developed study cases and showed how this ap proach revealed aspects that were not considered with tradi tional requirements analysis methods.

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“…Digital ecosystems contain hu man and digital populations and their creation depends ex clusively of the interactions between humans and digital systems [14].…”

Section: Nature Ecosystems and Digital Ecosystemsmentioning

confidence: 99%

Section: Nature Ecosystems and Digital Ecosystemsmentioning

confidence: 99%

Section: Nature Ecosystems and Digital Ecosystemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

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Analyzing requirements with the digital learning ecosystem approach

Ficheman

Lopes

2009

2009 3rd IEEE International Conference on Digital Ecosystems and Technologies

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“…We reuse these results for the service registry of the highly distributed German eHumanities platform, TextGrid [17], [18].…”

Section: B Examples: the Egovernment Resource Network And Textgridmentioning

confidence: 99%

Software Reuse through Resource Registries

Küster

Ludwig

2008

19th Australian Conference on Software Engineering (Aswec 2008)

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Software engineering has always had software reuse as one of its key tenets. In both Service-Oriented and ResourceOriented Architectures visibility is a prerequisite for fulfilling their respective promises, namely easier reuse of services and resources. Resource registries are a way to achieve such visibility.We argue that resource registries must separate technical, semantic and organizational aspects and leverage popular existing standards. This way they are able to adapt to domain specific requirements and a multitude of categorizations of and associations between resources. These arguments are backed up by examples primarily from the nascent pan-European eGovernment Resource Network.

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