Hauptseite: Unterschied zwischen den Versionen

Aus Semantic CorA
Wechseln zu: Navigation, Suche
K
(Redirected page to Main Page)
 
(37 dazwischenliegende Versionen von 2 Benutzern werden nicht angezeigt)
Zeile 1: Zeile 1:
While having various adverts on social media sites, you ought to absolutely have a number of special bargains for your business. This may provide your potential purchasers incentive to select your own advertising. By having specials on your ads, and only on these types of ads, the customers feel slightly more required to move there and notice what your company has to offer.<br><br>An essential consideration to remember in regards to instagram followers cheap - [http://thefollowkings.com thefollowkings.com], is really to stay energetic. It is wise to link all your social networking sites together. In case you are not active and participating, you'll not experience an audience. But don't overpower individuals with updates; simply delicately make your-self visible so people understand about you and can see that you are active.<br><br>Add important tags to your own Facebook videos. They'll be highly likely to appear in searches connected to your merchandise. You can utilize keyword resources to learn which keywords are popular with your target audience. Don't forget that your audience could be more inclined to talk about something if they find it related from what they were looking for.<br><br>Link your website to Linkedin by placing a discuss button on top of the webpage. Due to its naturel, Linkedin has consumers who are usually people with influence who have higher profits, meaning loads of potential customers with cash to spend on your products and services. With greater than one hundred million people using Linkedin, it is a great opportunity using social media to advertise your company without having to spend a penny.<br><br>In case you want to truly impress folks through social networking, conduct interviews using the regulators and movers and shakers within your market. Then post Facebook movies of these interviews. Not just will you be providing excellent articles, you will also establish your-self as an authority-figure in your area of interest. Your market will hold both you and your products in greater esteem.<br><br>Always respond to posts with questions or remarks on your own social media marketing networking websites. Always check notifications usually and see the messages inside your email several times daily. Also, link this till your own e-mail to understand when you receive something new. Take into account that what you post in reply to a comment will soon be visible by all.<br><br>Do not fail LinkedIn. LinkedIn is not as popular than Facebook or Facebook, but you can find incredibly influential customers on this site. Put in a LinkedIn 'share' button on your own articles, and odds are that someone who shares your content on LinkedIn may cause heaps of individuals to talk about it on other sites.<br><br>Make certain your blog posts appear within your LinkedIn site by using its website feed perform. After your post is submitted, it displays as updated on LinkedIn. That saves you time and exposure for your products raised by blogging for site visitors and LinkedIn contacts at once.
+
#REDIRECT [[Main_Page]]
 +
 
 +
{{DISPLAYTITLE:<span style="display:none">{{FULLPAGENAME}}</span>}}
 +
{| style="padding-right:2em;margin-top:0;padding-top:0"|border="1"
 +
| colspan="2"|
 +
<!-- ### Einführung mit 1 Spalte ### -->
 +
<!-- ### Box 1a Content ### -->
 +
{{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.
 +
 
 +
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]]).  
 +
 
 +
 
 +
We apologize: Some pages of the website are work in progress!
 +
 
 +
 
 +
 
 +
}}
 +
|-
 +
| style="width:50%;vertical-align: top;padding-right:0;margin-top:0;padding-top:0" |
 +
<!-- ### weitere Tabelle innerhalb 1. Spalte der Meta-Tabelle ### -->
 +
{|
 +
|-
 +
<!-- ### Box 2 Content ### -->
 +
|style="margin-top:0;padding-top:0"  | {{Box2|Ueberschrift=Semantic CorA Extensions|Fliesstext=
 +
 
 +
Take a look at the [[Semantic_CorA_Extensions|Semantic CorA-Extensions]]:
 +
* [[Semantic_CorA_Extensions#Semantic_Image_Annotator|Semantic Image Annotator]], which allows you to annotate image files for further analyzation,
 +
*[[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.
 +
}}
 +
|-
 +
|}
 +
 
 +
<!-- ### Schließen der 1. Spalte der Meta-Tabelle, Beginn der 2. Spalte ### -->
 +
| style="width:50%;vertical-align:top" | <!-- ### Tabelle innerhalb der 2. Spalte ### -->
 +
{| style="margin-top:0;padding-top:0" | <!-- ### Box 1 right ### -->
 +
| 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]]
 +
}}
 +
|-
 +
 
 +
|-
 +
<!-- ### Box 2 right  ###
 +
| {{Box2|Ueberschrift=Contact|Fliesstext=
 +
Do not hesitate to contact our team. Details under [[Contact & Feedback]].  
 +
}}
 +
|-  -->
 +
|}
 +
|}
 +
 
 +
<!-- ### Box 3 right  ### -->
 +
{| style="padding-right:2em;margin-top:0;padding-top:0"| border="0"
 +
| colspan="2" | {{Box2b|Ueberschrift=[[News]]|Fliesstext=
 +
{{#ask: [[SO_type::news]] | mainlabel=- | ?date= | ?news= | sort=date | order=desc | format=tab | limit=3 | searchlabel=… further results}}
 +
}}
 +
 
 +
 
 +
[http://www.semantic-cora.org Semantic CorA] is developed by:<br><br>
 +
[[datei:DIPF.png|150px|German Institute for International Educational Research]]&nbsp;&nbsp;&nbsp; 
 +
[[datei:Logo_kit.PNG|85px|Karlsruher Institute for Technology]]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [[datei:Uni_Goettingen_logo.jpg|180px|Universität Göttingen]]
 +
<br><br>
 +
and funded by: &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;  [[datei:dfg_logo.PNG|200px|German Research Foundation]]
 +
 
 +
<br>
 +
__NOTOC__
 +
__NOEDITSECTION__

Aktuelle Version vom 28. April 2014, 15:11 Uhr

Weiterleitung nach:

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).


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

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