Understanding linked open data through keyword searching: the KEYRY approach

Sonia Bergamaschi,Francesco Guerra,Silvia Rota,Yannis Velegrakis

Proceedings of the 1st International Workshop on Linked Web Data Management（2011）

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摘要

We introduce KEYRY, a tool for translating keyword queries over structured data sources into queries formulated in their native query language. Since it is not based on analysis of the data source contents, KEYRY finds application in scenarios where sources hold complex and huge schemas, apt to frequent changes, such as sources belonging to the linked open data cloud. KEYRY is based on a probabilistic approach that provides the top-k results that better approximate the intended meaning of the user query.

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关键词

intended meaning,huge schema,keyry approach,native query language,frequent change,structured data source,data source content,user query,keyword query,probabilistic approach,open data cloud,linked open data,query language,structured data

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