Link Recommender for Wikis
In companies wiki systems are increasingly used for knowledge management
because they allow creating websites in the Internet and intranet fast
and collaboratively. An important feature of wikis is that they allow
authors to insert links to other pages to point to related pages or to
indicate missing content. However, current wiki systems fail to support
authors in creating these links, e.g., the author needs to know the
title of the target page. As a result, the authors have to be familiar
with the whole content of the wiki in order to create useful links to
related pages. If they do not know the wiki then they are unable to
provide useful links and the wiki is less benefitial as a knowledge
management tool. Moreover, it may happen that authors create two pages
on the same topic without knowing of each other.
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Museumsportal Berlin
The Museumsportal Berlin is the official portal of all cultural locations in Berlin. It gives a comprehensive overview on the manifold museums, castles, exhibitions, and cultural events in the capital of Germany. Currently, the portal provides its visitors with a simple keyword based search functionality. The advantage of this approach lies in its simplicity. However, the main drawback of the keyword search is that it is able to only find web pages containing the specified keyword. The semantic search assistant, we demonstrate here, showcases the improvements of the search functionalities of the portal by relying on additional background knowledge (capturing the semantics of the arts domain in form of ontologies). Using concrete examples we aim to show how the application of the Semantic Web technologies may lead to more intelligent search results and improved user interface as well as how additional knowledge from external sources may enhance the information provided by the portal.
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