Evaluating Question Answering Over Linked Data
نویسندگان
چکیده
منابع مشابه
Evaluating question answering over linked data
The availability of large amounts of open, distributed and structured semantic data on the web has no precedent in the history of computer science. In recent years, there have been important advances in semantic search and question answering over RDF data. In particular, natural language interfaces to online semantic data have the advantage that they can exploit the expressive power of Semantic...
متن کاملQuestion Answering over Linked Data (QALD-4)
1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France elena.cabrio@i...
متن کاملQuestion Answering over Linked Data (QALD-5)
1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France elena.cabrio@i...
متن کاملQuestion Answering over BioMedical Linked Data with Grammatical Framework
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...
متن کاملGFMed: Question Answering over BioMedical Linked Data with Grammatical Framework
This paper reports on the participation of the system GFMed in QALD-4 question answering challenge for Biomedical interlinked data. GFMed introduces grammars for a controlled natural language targeted towards biomedical information and the corresponding controlled SPARQL language. The grammars are described in Grammatical Framework and introduce linguistic and SPARQL phrases mostly about drugs,...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2013
ISSN: 1556-5068
DOI: 10.2139/ssrn.3199070