While the amount of Linked Open Data (LOD) increases rapidly, it is still used mostly by Semantic Web experts. Two main obstacles make the billions of RDF triples already available hard to access for common Web users: the need to learn the query language SPARQL and the need to know the schemas underlying the datasets. Approaches to addressing these obstacles include graphical query interfaces, agent-based systems, and natural language interfaces. This workshop targets advances in the creation of natural language interfaces for the Web of Data as this category of interfaces is receiving an increasing interest due to their high expressive power and the ease of use. For example, recent progresses in speech recognition technologies (e.g., Siri, Google Voice) demonstrate the usefulness of natural-language interfaces for accessing large amounts of (partly structured) data. After the successful first edition of the workshop at ISWC 2014 with more than 40 participants, NLIWoD 2015’s goal is to bring together experts on the use of natural-language interfaces (NLI) for answering questions especially over the Web of Data. Topics of interest include but are not limited to:
Accepted papers will be published via ceur-ws.org. In addition, a special issue is currently being organized, to which the best papers of the workshop will be invited.
NLIWoD 2014 solicits the submission of original research papers in two types: