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CubeQA-question answering on RDF data cubes

: Höffner, K.; Lehmann, J.; Usbeck, R.


Groth, P.:
The Semantic Web - ISWC 2016. 15th International Semantic Web Conference. Pt.1 : Kobe, Japan, October 17-21, 2016, Proceedings
Cham: Springer International Publishing, 2016 (Lecture Notes in Computer Science 9981)
ISBN: 978-3-319-46522-7 (Print)
ISBN: 978-3-319-46523-4 (Online)
International Semantic Web Conference (ISWC) <15, 2016, Kobe>
Fraunhofer IAIS ()

Statistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences decisions in areas such as health care, policy and finance. While a growing amount is becoming freely available through the open data movement, this data is opaque to laypersons. Semantic Question Answering (SQA) technologies provide intuitive access via free-form natural language queries but general SQA systems cannot process RDF Data Cubes. On the intersection between RDF Data Cubes and SQA, we create a new subfield of SQA, called RDCQA. We create an RDQCA benchmark as task 3 of the QALD-6 evaluation challenge, to stimulate further research and enable quantitative comparison between RDCQA systems. We design and evaluate the domain independent CubeQA algorithm, which is the first RDCQA system and achieves a global F1 score of 0.43 on the QALD6T3-test benchmark, showing that RDCQA is feasible.