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Querying semantic data with natural language, 2015
Item — Call number MU Thesis Kir
Identifier: b7636895
Abstract
Searching through semantic data using SPARQL requires expert knowledge and thus remains out of reach for casual users. In this work, we explore the development of natural language interfaces for semantic data. This work looks at a number of approaches towards this goal as well as providing a new approach. Our system works like a natural language compiler and handles a limited set of natural language questions which, though narrow in scope, have complex semantics that other systems would...
Dates:
2015