Question answering over biomedical linked data with Grammatical Framework

Issue title: Question answering over Linked Data

Guest editors: Christina Unger, Axel-Cyrille Ngonga Ngomo, Philipp Cimiano, Sören Auer and George Paliouras

Article type: Research Article

Authors: Marginean, Anca

Affiliations: Department of Computer Science, Technical University of Cluj Napoca, 401446, Cluj-Napoca, Romania. E-mail: [email protected]

Abstract: The blending of linked data with ontologies leverages the access to data. GFMed introduces grammars for a controlled natural language targeted towards biomedical linked data and the corresponding controlled SPARQL language. The grammars are described in Grammatical Framework and introduce linguistic and SPARQL phrases mostly about drugs, diseases and relationships between them. The semantic and linguistic chunks correspond to Description Logic constructors. Problems and solutions for querying biomedical linked data with Romanian, besides English, are also considered in the context of GF.

Keywords: Querying linked data, description logics, controlled natural language, multilingual system, Grammatical Framework

DOI: 10.3233/SW-160223

Journal: Semantic Web, vol. 8, no. 4, pp. 565-580, 2017