Linguistic Modeling of Linked Open Data for Question Answering

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
With the evolution of linked open data sources, question answering regains importance as a way to make data accessible and explorable to the public. The triple structure of RDF (Resource Description Framework) data at the same time seems to predetermine question answering for being devised in its native subject-verb-object form. The devices of natural language, however, often exceed this triple-centered model. But RDF does not preclude this point of view. Rather, it depends on the modeling. As part of a government funded research project named Alexandria, the authors implemented an approach to question answering that enables the user to ask questions in ways that may involve more than binary relations.
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