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vocab-recommender

The vocab-recommender framework aims to assist the process of choosing vocabulary terms for a given website context. Details about the status of the project can be found at the corresponding project page and blog: http://istavrak.com/vocab-recommender/.

Technical details

It has been implemented using Java 8, Spring, JSP to support a Web Service API and a web-based user interface. For the NLP related tasks, the Stanford CoreNLP[1] has been integrated as a library. Any other NLP tool can be used to replace it.

License

The repository is licensed under the open source MIT License, which is included under the LICENSE.md file. The CoreNLP library that has been integrated is licensed under GNU GPLv3.

References

  1. Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. The Stanford CoreNLP Natural Language Processing Toolkit - In proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60.
  2. I.Stavrakantonakis, A.Fensel, D.Fensel. Linked Open Vocabulary ranking and terms discovery - In proceedings of the 12th International Conference on Semantic Systems, SEMANTiCS 2016.
  3. I.Stavrakantonakis, A.Fensel, D.Fensel. Towards a Vocabulary Terms Discovery Assistant - In proceedings of the 12th International Conference on Semantic Systems, SEMANTiCS 2016.
  4. I.Stavrakantonakis, A.Fensel, D.Fensel. Linked Open Vocabulary Recommendation Based on Ranking and Linked Open Data - In proceedings of the Joint International Semantic Technology Conference, JIST 2015.
  5. I.Stavrakantonakis, A.Fensel, D.Fensel. Matching web entities with potential actions - In poster paper track of the 10th International Conference on Semantic Systems, SEMANTiCS 2014.

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Vocabulary recommendations for semantic annotations generation

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