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The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows

Describes a new release workflow for DBpedia that increases agility and efficiency in knowledge extraction workflows.

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The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows

By Marvin Hofer, Sebastian Hellmann, Milan Dojchinovski, Johannes FreyLecture notes in computer science
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DBpedia's new release cycle aims to improve productivity and agility through a re-engineered workflow.,The new workflow focuses on quality control, debugging, and maintainability while publishing regular releases with over 21 billion triples.,An experimental evaluation demonstrates the effectiveness of the implemented measures.

Abstract

DBpedia's new release cycle aims to improve productivity and agility through a re-engineered workflow.,The new workflow focuses on quality control, debugging, and maintainability while publishing regular releases with over 21 billion triples.,An experimental evaluation demonstrates the effectiveness of the implemented measures.

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dbpedia release cycleagility and efficiencyknowledge extraction workflowsdata quality controlproductivity improvementKnowledge GraphsStructured ContentContent EngineeringSemantic Interoperability
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The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows | Aramai