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  4. Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends
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Category: Internet Computing
By MTech Projects
MTech Projects
31.Jan
Hits: 43

Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

ABSTRACT:

The growing number of datasets published on the Web as linked data brings both opportunities for high data availability and challenges inherent to querying data in a semantically heterogeneous and distributed environment. Approaches used for querying siloed databases fail at Web-scale because users don't have an a priori understanding of all the available datasets. This article investigates the main challenges in constructing a query and search solution for linked data and analyzes existing approaches and trends.

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  • Scalable Execution of Continuous Aggregation Queries over Web Data
  • CoAP: An Application Protocol for Billions of Tiny Internet Nodes
  • ArRESTed Development: Guidelines for Designing REST Frameworks
  • Process Mining Put into Context
  • Augmenting Mobile Search Engines to Leverage Context Awareness
  • Is There a Digital Divide? Check the Numbers
  • Security Challenges for the Public Cloud
  • SOAP-Based vs. RESTful Web Services: A Case Study for Multimedia Conferencing
  • The Tussle around Online Privacy
  • Bridging Communications and the Physical World
Previous article: Process Mining Put into Context Process Mining Put into Context Next article: Scalable Execution of Continuous Aggregation Queries over Web Data Scalable Execution of Continuous Aggregation Queries over Web Data
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