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September 2013 ⋅ Co-located with: CLEF 2013  

Question Answering over Linked Data (QALD-3)

 

The CLEF 2013 lab QALD-3 ist the third in a series of evaluation campaigns on question answering over linked data, this time with a strong emphasis on multilinguality.

It offers two open challenges:

 

Please register for the lab using the CLEF 2013 registration form (open until April 20, 2013).

 

Motivation

While more and more semantic data is published on the Web, the question of how typical Web users can access this body of knowledge becomes of crucial importance. Over the past years, there is a growing amount of research on interaction paradigms that allow end users to profit from the expressive power of Semantic Web standards while at the same time hiding their complexity behind an intuitive and easy-to-use interface. Especially natural language interfaces have received wide attention, as they allow users to express arbitrarily complex information needs in an intuitive fashion and, at least in principle, in their own language. The key challenge lies in translating the users' information needs into a form such that they can be evaluated using standard Semantic Web query processing and inferencing techniques. To this end, systems have to deal with a heterogeneous, distributed and very large set of highly interconnected data. The availability of such an amount of open and structured data has no precedents in computer science and approaches that can deal with the specific character of linked data are urgently needed.

In addition, multilinguality has become an issue of major interest for the Semantic Web community, as both the number of actors creating and publishing data all in languages other than English, as well as the amount of users that access this data and speak native languages other than English is growing substantially. In order to achieve the goal that users from all countries have access to the same information, there is an impending need for systems that can help in overcoming language barriers by facilitating multilingual access to semantic data originally produced for a different culture and language.