Conference paper Open Access

Are Linked Datasets fit for Open-domain Question Answering? A Quality Assessment

Thakkar, Harsh; Endris, Kemele M; Gimenez Garica, Jose` M; Debattista, Jeremy; Lange, Christoph; Auer, Sören

The current decade is a witness to an enormous explosion of data being 
published on the Web as Linked Data to maximise its reusability. Answering questions that users speak or write in natural language is an increasingly popular application scenario for Web Data, especially when the domain of the questions is not limited to a domain where dedicated curated datasets exist, like in medicine. The increasing use of Web Data in this and other settings has highlighted the importance of assessing its quality.

To appear in the proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics (WIMS) 2016
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