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活动简介

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 access 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.

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重要日期

2017-07-21
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Topics of interest include but are not limited to:

  • NEW! Dialogue systems
  • NEW! Personal assistants
  • NEW! Chatbots
  • Question answering over Linked Data
  • Benchmarking natural language interfaces
  • Term matching and entity disambiguation
  • Browsing Linked Data
  • Indexing for question answering
  • Deep Learning for Natural Language Interaction
  • SPARQL query pattern generation
  • Schema-agnostic query generation
  • Discovery of Linked Data sources
  • Endpoint profiling
  • Dealing with data and schema heterogeneity
  • Providing justifications of answers and conveying trust
  • Knowledge base design for question answering
  • Language resources and NLP software for question answering
  • Reasoning for question answering
  • Natural language querying of RDF exposed as Linked Data
  • Natural language querying of Web services
  • User feedback and interaction
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重要日期
  • 会议日期

    10月21日

    2017

    10月22日

    2017

  • 07月21日 2017

    终稿截稿日期

  • 10月22日 2017

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