Semantic Wikipedia
This event took place on Monday 23 October 2006 at 11:30
Denny Vrandecic Institute AIFB of the Universität Karlsruhe
Within only a few years, the free encyclopedia Wikipedia has become one of the most important online knowledge sources. The project "Semantic MediaWiki" engages in the conception and development of semantic extensions of MediaWiki – the software underlying Wikipedia. The goal is to enable simple, machine-based processing of Wiki-content by allowing users to provide suitable semantic annotations. However, the special Wiki environment and the multitude of envisaged applications impose a number of additional requirements. The talk presents how the Semantic MediaWiki works, how it can be used, and how the information can be reused in further semantically enabled applications. It shows the benefits of a Semantic Wikipedia, both for the users and the authors.
Download presentation slides
This event took place on Monday 23 October 2006 at 11:30
Within only a few years, the free encyclopedia Wikipedia has become one of the most important online knowledge sources. The project "Semantic MediaWiki" engages in the conception and development of semantic extensions of MediaWiki – the software underlying Wikipedia. The goal is to enable simple, machine-based processing of Wiki-content by allowing users to provide suitable semantic annotations. However, the special Wiki environment and the multitude of envisaged applications impose a number of additional requirements. The talk presents how the Semantic MediaWiki works, how it can be used, and how the information can be reused in further semantically enabled applications. It shows the benefits of a Semantic Wikipedia, both for the users and the authors.
Download presentation slides
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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