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Sematch: Semantic similarity framework for Knowledge Graphs

  • Published:2017-08 Issue: Volume:130 Page:30-32
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Zhu Ganggao,Iglesias Carlos A.

Funder

Ministry of Economy and Competitiveness

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference6 articles.

1. Computing semantic similarity of concepts in Knowledge Graphs;Zhu;IEEE Trans. Knowl. Data Eng.,2017

2. Wordnet:similarity measuring the relatedness of concepts;Pedersen,2004

3. Textrank: Bringing Order into Texts;Mihalcea,2004

4. Mining the opinionated web: classification and detection of aspect contexts for aspect based sentiment analysis;Araque,2016

5. Sematch: semantic entity search from Knowledge Graph.;Zhu,2015

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