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Task-oriented Uncertainty Evaluation For Linked Data Based On Graph Interlinks.pdf

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Preview of Task-oriented Uncertainty Evaluation for Linked Data based on Graph Interlinks
🔗 Source: ekaw2020.inf.unibz.it
📊 Size: 661 KB
📄 Pages: 11 pages
⬇️ Downloads: 312

Summary

The approach is task-oriented, considering user preferences and specific use-cases, and built on top of the mUnc model to represent and publish uncertainty on the Semantic Web. The method assesses uncertainty for sets of statements related to user-selected resources by translating interlinks into links referring to the position of a target dataset from a reference dataset, based on object and predicate similarities. The paper discusses related work, similarity assessment, and experimental workflow, and presents a tool for uncertainty evaluation and annotation.

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Description

The approach is task-oriented, considering user preferences and specific use-cases, and built on top of the mUnc model to represent and publish uncertainty on...

Technical Information

  • File Format: PDF
  • File Size: 661 KB
  • Pages: 11
  • Language: EN
  • Total Downloads: 312
  • Last Updated: 2 hours ago

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This PDF document about Task-oriented Uncertainty Evaluation for Linked Data based on Graph Interlinks provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Task-oriented Uncertainty Evaluation for Linked Data based on Graph Interlinks.

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Task-oriented guideTask-oriented tutorialUncertainty guideUncertainty tutorialEvaluation guideEvaluation tutorialLinked guideLinked tutorialData guideData tutorialbased guidebased tutorialGraph guideGraph tutorialInterlinks guideInterlinks tutorial

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