Main Page: Unterschied zwischen den Versionen

Aus Semantic CorA
Wechseln zu: Navigation, Suche
Zeile 8: Zeile 8:
 
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. 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]]).  
 
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. 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]]).  
  
 +
 +
We apologize: Some pages of the website are work in progress!
  
 
Deutsche Beschreibung bei den Projektpartnern:
 
Deutsche Beschreibung bei den Projektpartnern:
Zeile 14: Zeile 16:
 
* [http://www.uni-goettingen.de/de/437983.html Universität Göttingen-Projektdarstellung]
 
* [http://www.uni-goettingen.de/de/437983.html Universität Göttingen-Projektdarstellung]
  
We apologize: Some pages of the website are work in progress!
 
  
  

Version vom 30. März 2014, 21:52 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 (digital) social sciences and 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).


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

Deutsche Beschreibung bei den Projektpartnern:

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