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{{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 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.
 
{{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 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. 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.  
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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.<!--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]]).  
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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.
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<!--Semantic Collaborative Corpora Analysis for Humanities and Social Sciences is a virtual research environment (VRE) - i.e. a collaborative and semantic Web 2.0 tool from the area of eHumanities. It was exemplarily developed for research in the history of education and can be adapted for the future use by other disciplines.
 
 
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.
 
 
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 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.
 
  
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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.
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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.-->
 
=Motivation=
 
=Motivation=
 
[[File:SMW-CorA-Communities.png|right|thumb|200px|Interrelation between communities at the design of Semantic CorA]]
 
[[File:SMW-CorA-Communities.png|right|thumb|200px|Interrelation between communities at the design of Semantic CorA]]
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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.
 
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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German description at the websites of the project team institutions:
 
German description at the websites of the project team institutions:

Revision as of 15:06, 11 December 2017

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.

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.

German description at the websites of the project team institutions:


News

  
August 2018Interlinking Pictura was presented at OpenSym'18 [1] in Paris.
June 2018Interlinking Pictura was presented at ECSA Conference [2] in Geneva.
May 2018Interlinking Pictura is now online!
further results


Developed by:

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

and funded by:         German Research Foundation

Contact:

Coordination: Christoph Schindler, Julian Hocker

Technical Development: Lia Veja