Discovering and Querying Hybrid Linked Data

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
In this paper, the authors present a unified framework for discovering and querying hybrid linked data. They describe their approach to developing a natural language query interface for a hybrid knowledge base Wikitology, and present that as a case study for accessing hybrid information sources with structured and unstructured data through natural language queries. They evaluate their system on a publicly available dataset and demonstrate improvements over a baseline system. They describe limitations of their approach and also discuss cases where their system can complement other structured data querying systems by retrieving additional answers not available in structured sources.
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