Student Work


Evaluating Multiple Caching Strategies for Semantic Network Applications Public

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Semantic networks are often used as a method of relating multiple pieces of data to each other. ConceptNet is a semantic network that contains information about words and how they relate to other words. ConceptNet and other semantic networks are often hosted remotely and accessed as a service, and data retrieval times can be large. This project examines multiple data caching strategies and their impact on the performance of two existing applications that make use of ConceptNet data. We found that the largest factor in whether or not caching improves the performance of semantic network applications is the access pattern of the particular application.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
  • E-project-032615-220705
  • 2015
Date created
  • 2015-03-26
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