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                <div class="panel-heading">''' Welcome'''</div>
{{Box1a|Fliesstext='''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.
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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 bigger 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 Semantic MediaWiki (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.
  
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]]).  
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Semantic CorA is motivated by the lack of virtual research environment in the in the (digital) social sciences and humanities, that offer capacities for adjustment to relevant needs with low technical barriers. It was exemplarily developed for research in the history of education and can be adapted for the future use by other disciplines.
  
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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]]). Semantic CorA is iteratively developed and directed towards research practice – including agile computing, stepwise open-source publication and participative design. Researchers themselves are engaged in its design and encouraged to actively participate.   
  
We apologize: Some pages of the website are work in progress!
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Semantic CorA is the basis for the citizen science project [https://interlinking.bbf.dipf.de/index.php/Hauptseite Interlinking Pictura]
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<div class="panel-heading">'''Motivation'''</div>
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[[File:SMW-CorA-Communities.png|right|thumb|200px|Interrelation between communities at the design of Semantic CorA]]
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Semantic CorA focuses on the social sciences and humanities and establishes VREs in the research community of historical research in education. Collaborative work should be possible in the maintenance and analysis of research data while special attention is paid to the re-use of research data at the beginning and the end of the research processes. Semantic CorA therefore relies on Semantic MediaWiki, which ensures a certain degree of interoperability of newly data due to RDF export features (and other export formats like csv, json,..).
  
Deutsche Beschreibung bei den Projektpartnern:
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Semantic CorA aims at connecting three different communities which are:
* [http://www.dipf.de/de/projekte/virtuelle-forschungsumgebung-fuer-die-historische-bildungsforschung-smw-cora DIPF-Projektdarstellung]
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*researchers in the social sciences and humanities
* [http://www.aifb.kit.edu/web/SMW-CorA KIT--Projektdarstellung]
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*developers
* [http://www.uni-goettingen.de/de/437983.html Universität Göttingen-Projektdarstellung]
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*digital libraries.
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                <div class="panel-heading">'''Semantic MediaWiki'''</div>
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Semantic Media Wiki was chosen as a platform because it is a lightweight system with a broad community of developers and users. As its development is open source, the outcomes from our project can easily be reused and adapted by others. As Semantic CorA does not aim at developing a (technically) new vre, and the basic modular system architecture of MediaWiki (i.e. Semantic MediaWiki) can be adapted to needs. Semantic CorA targets at the management and analysis of large corpora but clearly does not claim to be a large scale solution for the totality of research fields in the humanities and social sciences. The RDF support of Semantic MediaWiki with its interoperability is a fundamental criterion which ensures reuse of new data in other rdf-based systems. This interoperability at the data level allows for thinking at a smaller scale and more networked environment in the context of vres.
  
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Wikis are well-known as a tool for collaborative work in the web. Even given some critical usabilty issues e.g. regarding the syntax, the use of wiki-based systems draws on fundamental user experiences. Although editing in the wiki-based system is less trivial for techical laypersons than often assumed, they are generally familar with the concept. A positive effect of Semantic CorA was that after a while the users were able to construct own queries and templates to gain more information from and interact more flexibly with their data. This development is clearly due to the openness of the wiki system which is highly adjustable compared to other large VREs.
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                <div class="panel-heading">'''News'''</div>
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{{#ask: [[SO_type::news]] | mainlabel=- | ?date= | ?news= | sort=date | order=desc | format=tab | limit=3 | searchlabel= further results}}
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Take a look at the [[Semantic_CorA_Extensions|Semantic CorA-Extensions]]:
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<!--Subject to the project Virtual Research Environment for Research in the History of Education with semantic Wiki technology, a virtual research environment was developed based on Semantic MediaWiki (SMW). This technology allows for a collaborative analysis of comprehensive digitised text corpora, and accessibility to members from the research community of educational historians. The virtual research environment was initially developed for the history of education, allowing for integrating digitised objects and their bibliographic metadata, to collaboratively analyse them both qualitatively and quantitatively, and thus connecting the concept of Linked Data research in the humanities. This eHumanities tool allows libraries to introduce results from their digitalization projects to scientific discourse (primary data). Direct semantic linkage of the digitised objects and outcomes of analyses can generate added value for the scientific chain of creating research value, and archiving is possible in integrated form. Semantic CorA supports the process of generating research findings by collaborative processes, offering a platform for the publication of findings - which thus also become resources for further research.
* [[Semantic_CorA_Extensions#Semantic_Image_Annotator|Semantic Image Annotator]], which allows you to annotate image files for further analyzation,
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The virtual research environment „Semantic CorA" is a typical tool from the area of eHumanities. eHumanities (e as in "enhanced“ or “enabled“) targets the support for research in the humanities and  qualitative social sciences, usually based on digital infrastructures.-->
*[[Semantic_CorA_Extensions#SemanticWebBrowser|SemanticWebBrowser]] provides functionalities for browsing semantic data within the Semantic Media Wiki,
 
*[[Semantic_CorA_Extensions#OfflineImportLexicon|OfflineImportLexicon]] for integrating bibliographic data and adding a book-like structure for your data.
 
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| style="margin-top:0;padding-top:0" |{{Box2|Ueberschrift=Communities|Fliesstext=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.
 
*[[Semantic_CorA_for_Researchers]]
 
*[[Semantic_CorA_for_Administrators]]
 
*[[Semantic_CorA_for_Developers]]
 
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Do not hesitate to contact our team. Details under [[Contact & Feedback]].
 
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[http://www.semantic-cora.org Semantic CorA] is developed by:<br><br>
 
[[File:DIPF.png|150px|German Institute for International Educational Research]]&nbsp;&nbsp;&nbsp; 
 
[[File:Logo_kit.PNG|85px|Karlsruher Institute for Technology]]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [[File:Uni_Goettingen_logo.jpg|180px|Universität Göttingen]]
 
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and funded by: &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;  [[File:dfg_logo.PNG|200px|German Research Foundation]]
 
 
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Aktuelle Version vom 13. Februar 2020, 11:51 Uhr

Welcome

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 Semantic MediaWiki (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 in the (digital) social sciences and humanities, that offer capacities for adjustment to relevant needs with low technical barriers. It was exemplarily developed for research in the history of education and can be adapted for the future use by other disciplines.

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). Semantic CorA is iteratively developed and directed towards research practice – including agile computing, stepwise open-source publication and participative design. Researchers themselves are engaged in its design and encouraged to actively participate.

Semantic CorA is the basis for the citizen science project Interlinking Pictura

Motivation
Interrelation between communities at the design of Semantic CorA

Semantic CorA focuses on the social sciences and humanities and establishes VREs in the research community of historical research in education. Collaborative work should be possible in the maintenance and analysis of research data while special attention is paid to the re-use of research data at the beginning and the end of the research processes. Semantic CorA therefore relies on Semantic MediaWiki, which ensures a certain degree of interoperability of newly data due to RDF export features (and other export formats like csv, json,..).

Semantic CorA aims at connecting three different communities which are:

  • researchers in the social sciences and humanities
  • developers
  • digital libraries.
Semantic MediaWiki

Semantic Media Wiki was chosen as a platform because it is a lightweight system with a broad community of developers and users. As its development is open source, the outcomes from our project can easily be reused and adapted by others. As Semantic CorA does not aim at developing a (technically) new vre, and the basic modular system architecture of MediaWiki (i.e. Semantic MediaWiki) can be adapted to needs. Semantic CorA targets at the management and analysis of large corpora but clearly does not claim to be a large scale solution for the totality of research fields in the humanities and social sciences. The RDF support of Semantic MediaWiki with its interoperability is a fundamental criterion which ensures reuse of new data in other rdf-based systems. This interoperability at the data level allows for thinking at a smaller scale and more networked environment in the context of vres.

Wikis are well-known as a tool for collaborative work in the web. Even given some critical usabilty issues e.g. regarding the syntax, the use of wiki-based systems draws on fundamental user experiences. Although editing in the wiki-based system is less trivial for techical laypersons than often assumed, they are generally familar with the concept. A positive effect of Semantic CorA was that after a while the users were able to construct own queries and templates to gain more information from and interact more flexibly with their data. This development is clearly due to the openness of the wiki system which is highly adjustable compared to other large VREs.

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