Abstract

Review of: "RelTopic: A Graph-Based Semantic Relatedness Measure in Topic Ontologies and Its Applicability for Topic Labeling of Old Press Articles"

Highlights

  • The first one is about the narrative, and the second one is about the evaluation. Both of them are introduced as follows, followed by a final remark

  • While I value the authors' article, I believe additional work is needed to be appropriate for publication in Semantic Web

  • The whole work is done in the context of a larger project (ASTURIAS) in which the approach proposed by the authors is just one part of the story

Read more

Summary

Introduction

The authors describe a relatedness measure (a.k.a. RelTopic) based on graphs (which represent an ontology) that can be used to label texts with concepts defining their topics. It would be better to start from the beginning of the introduction on presenting the ASTURIAS, which research problems it poses, and how the authors want to address them (or part of them), focussing on the RelTopic algorithm they propose for labelling texts.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call