Welcome to WissKI

We are glad that you found your way to the new WissKI website. In the following sections we introduce you to the Virtual Research Environment "WissKI" and give you any information you need to use WissKI for your own purposes. Furthermore this website is meant to bring together all WissKI users and developers to exchange experiences. WissKI is a German acronym for "Wissenschaftliche KommunikationsInfrastruktur", which can be translated as "Scientific Communication Infrastructure". It is a Virtual Research Environment (VRE) for managing scholarly data that is completely open source and free to use. Based on Drupal WissKI is a flexible tool for data collections that enables researchers to work simultaneously from different places. WissKI provides benefits of the semantic web technology while supporting simple and common input interfaces. The semi-automatic text annotation is one of its core features. We developed a software system that enables scientific projects especially in memory institutions (museums, archives, libraries) to collect, store, manage and communicate knowledge. Therefore it addresses many facets of research in a network environment like persistence of information, long-time preservation and accessibility, digital documentation standards and e-publishing.

WissKI was initially a joint venture featuring three partners from different institutions and scientific domains: The Digital Humanities Research Group of the Department of Computer Science at the Friedrich-Alexander-University of Erlangen-Nuremberg (FAU), the Department of Museum Informatics at the Germanisches Nationalmuseum (GNM) in Nuremberg and the Biodiversity Informatics Group at the Zoologisches Forschungsmuseum Alexander Koenig (ZFMK) in Bonn. Software development was primarily funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) from 2009 to 2012 and from 2014 to 2017.

  • Die folgende Dokumentation beschreibt einen Anwendungsfall für Drupal Module Search API, Solr Search API und Facets in WissKI, um eine Facettierte Suche und Volltextsuche anzulegen. Der Anwendungsfall basiert auf dem Projekt Objekte im Netz (OiN http://objekte-im-netz.fau.de/) und dem konkreten Beispiel einer facettierten Suche mit Hilfe von Solr auf der Seite des Sammlungsportal (http://objekte-im-netz.fau.de/portal/).

    1 week ago
  • The following documentation describes an use case for Drupal Module Search API, Search API Solr and Facets in WissKI to create a Faceted Search and Full Text Search. The use case is based on the project Objekte im Netz (OiN http://objekte-im-netz.fau.de/) and the specific example of a faceted search using Solr on the page of the Sammlungsportal (http://objekte-im-netz.fau.de/portal/). All project-specific settings are identified by the keyword OiN.

    2 weeks ago
  • You probably have the feeling that your solr module does not provide you with maximum performance with WissKI. We had a look at that and realized what you have to do to get maximum speed from Solr in views:

    - index all the fields you want to use

    - index them exactly the way you want to use them

    - if you want to use links to certain entries make sure the item is linked.


    1 month ago
  • When reviewing the product that my writer created, It's interesting that the writer chose this topic and didn't realize when doing so he was actually choosing one that was from my field of studies in sports medicine (my second Master's program). While it is not the field of my Doctoral program, it was an excellent choice, and couyld not have been better prepared. Thanks so much for the great work https://rankmywriter.com service.

    1 month ago
  • Structure  → Views → + Add View anklicken

    Es ist auch möglich, eigene Views zu definieren, wenn man Listen anhand spezieller Filterkriterien erstellen möchte:

    Bei „View Settings“ und Show: „Wisski Entitiy“ auswählen.

    4 months ago

Do you want to contribute, promote your project and share your knowledge? Please register yourself, get in touch in our forum and commit your project here.

If you are looking for our old websites, here you can find the old WissKI² website and the old WissKI website.