D-Hive: Data Bees Pollinating RDF, Text, and Time

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Although the problem of integrating IR and DB solutions is considered \"Old\", the increasing importance of big data analytics and its formidable demands for both enriched functionality and scalable performance creates the need to revisit the problem itself and to see possible solutions from a new perspective. The authors' goal is to develop a system that will make large corpora aware of Entities and Relationships (ER), addressing the challenges in searching and analyzing ER patterns in web data and social media. They put forward D-Hive, a system facilitating analytics over RDF-style (SPO) triples augmented with text and (validity / transaction) time capable of addressing the functionality and scalability requirements which current solutions cannot meet.
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