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  '''Semantic Collaborative Corpora Analysis''' (Semantic CorA) is a lightweight virtual research environment (vre) providing a modular plattform of tools for collaborative analysis of big amounts of data. Semantic CorA builds upon the open-source software [http://www.mediawiki.org/wiki/MediaWiki MediaWiki] - which empowers [http://www.wikipedia.org/ Wikipedia] – and its extension [http://semantic-mediawiki.org/wiki/Semantic_MediaWiki SemanticMediawiki]. It offers tools to integrate, enrich, store, query and visualize research data, which can be published in the [http://en.wikipedia.org/wiki/Semantic_Web Semantic Web] and shared with other researchers.</p>  
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  '''Semantic Collaborative Corpora Analysis''' (Semantic CorA) is a lightweight virtual research environment (vre) providing a modular plattform of tools for collaborative analysis of big amounts of data. Semantic CorA builds upon the open-source software [http://www.mediawiki.org/wiki/MediaWiki MediaWiki] - which empowers [http://www.wikipedia.org/ Wikipedia] – and its extension [http://semantic-mediawiki.org/wiki/Semantic_MediaWiki SemanticMediawiki (SMW)]. Tools are offered to integrate, enrich, store, query and visualize research data, which can be published in the [http://en.wikipedia.org/wiki/Semantic_Web Semantic Web] and shared with other researchers.</p>  
  
  
<p style="font-size: larger">The development of Semantic CorA is motivated by the lack of vre's in social sciences and (digital) humanities, which offer capacities to adjust the research environment to the needs in these fields with low technical barriers. The design is based on a participatory and agile approach following actual research practices and adressing added values. While general extensions for SMW are developed, the design and innovation process is driven by scholarly research projects, which forces to address concrete capacities for interaction in research practice (See: [[Use_Case:_Analyzing_educational_Lexica|Our Use Case]]). </p><br>
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<p style="font-size: larger">Semantic CorA is motivated by the lack of virtual research environment in the social sciences and (digital) humanities, that offer capacities for adjustment to relevant needs with low technical barriers. Semantic CorA is based on a participatory and agile approach following concrete research practices and addressing added values. While general technological extensions for SMW are developed, the design and innovation process is driven by scholarly research projects, that invoke concrete capacities for interaction in research practice (see: [[Use_Case:_Analyzing_educational_Lexica|Our Use Case]]). </p><br>
 
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Version vom 4. März 2014, 16:50 Uhr


Semantic Collaborative Corpora Analysis (Semantic CorA) is a lightweight virtual research environment (vre) providing a modular plattform of tools for collaborative analysis of big amounts of data. Semantic CorA builds upon the open-source software MediaWiki - which empowers Wikipedia – and its extension SemanticMediawiki (SMW). Tools are offered to integrate, enrich, store, query and visualize research data, which can be published in the Semantic Web and shared with other researchers.


Semantic CorA is motivated by the lack of virtual research environment in the social sciences and (digital) humanities, that offer capacities for adjustment to relevant needs with low technical barriers. Semantic CorA is based on a participatory and agile approach following concrete research practices and addressing added values. While general technological extensions for SMW are developed, the design and innovation process is driven by scholarly research projects, that invoke concrete capacities for interaction in research practice (see: Our Use Case).


News

  
August 2018Interlinking Pictura was presented at OpenSym'18 [1] in Paris.
Juni 2018Interlinking Pictura was presented at ECSA Conference [2] in Geneva.
Mai 2018Interlinking Pictura is now online!
… weitere Ergebnisse

Semantic_CorA_Extensions

Take a look at the Semantic CorA-Extensions:

Semantic CorA is developed by:German Institute for International Educational Research Karlsruher Institute for Technology Universität Göttingen and funded by German Research Foundation