NLIWoD 2014 - 1st International Workshop on Natural Language Interfaces for the Web of Data

While the amount of Linked Open Data (LOD) increases rapidly, it is still used mostly by Semantic Web experts. There are two main obstacles to making the billions of RDF triples already available accessible for common Web users: (1) the need to learn the query language SPARQL, and (2) the need to know the schemas underlying the datasets. Approaches to ease the acess to the Web of Data include graphical query interfaces, agent-based systems, and natural language interfaces. Amongst them, natural language interfaces are receiving an increasing interest due to its high expressive power and low cost for educational purposes. Recent progresses in speech recognition technologies (e.g., Siri and Google Voice) also demonstrate the usefulness of a natural language interface. The goal of this workshop is to bring together experts on the use of natural-language interfaces (NLI) for accessing the Web of Data. This includes amongst others experts on question answering, graphical query interfaces, lexicon generation, information extraction, and natural-language generation. Consequently, the topics of interest include but are not limited to:
Natural language query parsing
Natural language dialog systems
Term matching and entity disambiguation
Indexing
Query template generation
Query pattern generation
SPARQL query generation
Discovery of Linked Data sources
Endpoint profiling
Dealing with data and schema heterogeneity
Answer aggregation
Answer rendering
Providing justifications of answers and conveying trust
Knowledge base design for QA
Language resources (data & open source software) for QA
Reasoning for QA
Natural Language querying of RDF exposed as linked data
Natural Language querying of Web Services
User feedback and interaction
Submission Instructions
NLIWoD 2014 solicits the submission of original research papers in two types:
Full paper submissions (up to 16 pages) must describe substantial and original work.
Short paper submissions (up to 8 pages) must describe an original work which may present
a small, focused contribution,
a work in progress, or
an interesting application case.
All submissions must be in English and in PDF formatted the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer's Author Instructions. Every submissions will be peer-reviewed by the Program Committee of the workshop. Submissions do not need to be anonymous.