Quepy « Linking Research

General News

Summary

A couple of weeks ago Machinalis released a new framework called Quepy, which is able to compose SPARQL queries from natural language. A snapshot with an example can be seen below, where I asked for information about Quentin Tarantino: The proposal is very simple: you write your query and then you can test it against DBpedia, the most popular dataset in Linked Data. The potential of this kind of tool is clear, as it can provide an exact response to what the user is looking for, contrasting it against several distributed databases instead of independent silos of information (like Bing or Google). In our group some people are researching on this topic as well, by analyzing the most typical patterns performed when querying datasets in Linked Data. Mixing natural language processing and common pattern approaches could improve the amount of queries covered by each system separately.

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industries
Fintech & Banking
applications
Data Mining

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Machinalis
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