Feature-based reformulation of entities in triple pattern queries

arXiv: Artificial Intelligence, Volume abs/1807.01801, 2018.

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Abstract:

Knowledge graphs encode uniquely identifiable entities to other entities or literal values by means of relationships, thus enabling semantically rich querying over the stored data. Typically, the semantics of such queries are often crisp thereby resulting in crisp answers. Query log statistics show that a majority of the queries issued to...More

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