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Semantic CorA is motivated by the lack of virtual research environment in the (digital) social sciences and humanities, that offer capacities for adjustment to relevant needs with low technical barriers. But the flexibility of adjusting comes with an affordance: Semantic CorA is not an out-of-the-box solution and needs to be configured to the research project needs.  
 
Semantic CorA is motivated by the lack of virtual research environment in the (digital) social sciences and humanities, that offer capacities for adjustment to relevant needs with low technical barriers. But the flexibility of adjusting comes with an affordance: Semantic CorA is not an out-of-the-box solution and needs to be configured to the research project needs.  
  
The design of 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]]).  
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The design of 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: [[In Practice]]).  
  
  

Version vom 9. April 2014, 21:12 Uhr

Semantic Collaborative Corpora Analysis (Semantic CorA) is a lightweight virtual research environment (vre) providing a modular plattform of tools for collaborative analysis of bigger 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 (digital) social sciences and humanities, that offer capacities for adjustment to relevant needs with low technical barriers. But the flexibility of adjusting comes with an affordance: Semantic CorA is not an out-of-the-box solution and needs to be configured to the research project needs.

The design of 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: In Practice).


We apologize: Some pages of the website are work in progress!

German description at the websites of the project team institutions:

Semantic CorA Extensions

Take a look at the Semantic CorA-Extensions:

Communities

To find out what parts of the research process are enhanced, users from the research communities of the social sciences and humanities can look at our introduction for researchers (Semantic_CorA_for_Researchers), which provides an overview of the possibilities. MediaWiki is a highly modular software - this characteristic also applies to Semantic CorA. Some adoptions are necessary to make it fit to a particular research project (Semantic_CorA_for_Administrators). While some adoptions are technically more sophisticated and based on the development of CorA extensions (Semantic_CorA_for_Developers), researchers and administrators can customize large parts of the system by means of forms and wiki templates.

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!
… further results


Semantic CorA is developed by:

German Institute for International Educational Research    Karlsruher Institute for Technology      Universität Göttingen

and funded by:         German Research Foundation