Natural Language Queries over Heterogeneous Linked Data Graphs: A Distributional-Compositional Semantics Approach

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
The demand to access large amounts of heterogeneous structured data is emerging as a trend for many users and applications. However, the effort involved in querying heterogeneous and distributed third-party databases can create major barriers for data consumers. At the core of this problem is the semantic gap between the way users express their information needs and the representation of the data. This paper aims to provide a natural language interface and an associated semantic index to support an increased level of vocabulary independency for queries over linked data/semantic web datasets, using a distributional-compositional semantics approach.
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