197
Views
39
CrossRef citations to date
0
Altmetric
Articles

A novel firefly driven scheme for resume parsing and matching based on entity linking paradigm

, &

References

  • Das, P., Pandey, M., & Rautaray, S. S. (2018). A CV Parser Model using Entity Extraction Process and Big Data Tools.
  • Sanyal, S., Hazra, S., Adhikary, S., & Ghosh, N. (2017). Resume Parser with Natural Language Processing. International Journal of Engineering Science, 4484.
  • Tobing, B.C.L., Suhendra, I.R. and Halim, C., 2019, June. Catapa Resume Parser: End to End Indonesian Resume Extraction. In Proceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval (pp. 68-74). ACM.
  • Francis-Landau, Matthew, Greg Durrett, and Dan Klein. “Capturing semantic similarity for entity linking with convolutional neural networks.” arXiv preprint arXiv:1604.00734 (2016).
  • Bhagavatula, Chandra Sekhar, Thanapon Noraset, and Doug Downey. “TabEL: entity linking in web tables.” In International Semantic Web Conference, pp. 425-441. Springer, Cham, 2015.
  • Wang, Han, Jin Guang Zheng, Xiaogang Ma, Peter Fox, and Heng Ji. “Language and domain independent entity linking with quantified collective validation.” In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 695-704. 2015.
  • Hua, W., Zheng, K. and Zhou, X., 2015, May. Microblog entity linking with social temporal context. In Proceedings of the 2015 ACM SIG-MOD International Conference on Management of Data (pp. 1761-1775). ACM.
  • Deepak, Gerard, and J. Sheeba Priyadarshini. “Personalized and Enhanced Hybridized Semantic Algorithm for web image retrieval incorporating ontology classification, strategic query expansion, and content-based analysis.” Computers & Electrical Engineering 72 (2018): 14-25. doi: 10.1016/j.compeleceng.2018.08.020
  • Deepak, Gerard, and Sheeba Priyadarshini. “A hybrid framework for social tag recommendation using context driven social information.” International Journal of Social Computing and Cyber-Physical Systems 1, no. 4 (2016): 312-325. doi: 10.1504/IJSCCPS.2016.084759
  • Deepak, Gerard, Ansaf Ahmed, and B. Skanda. “An intelligent inventive system for personalized webpage recommendation based on ontology semantics.” International Journal of Intelligent Systems Technologies and Applications 18, no. 1-2 (2019): 115-132. doi: 10.1504/IJISTA.2019.097751
  • Deepak, G., Shwetha, B.N., Pushpa, C.N., Thriveni, J. and Venugopal, K.R., 2018. A hybridized semantic trust-based framework for personalized web page recommendation. International Journal of Computers and Applications, pp.1-11. doi: 10.1080/1206212X.2018.1480472
  • Pushpa, C. N., Gerard Deepak, J. Thriveni, and K. R. Venugopal. “Onto Collab: Strategic review oriented collaborative knowledge modeling using ontologies.” In 2015 Seventh International Conference on Advanced Computing (ICoAC), pp. 1-7. IEEE, 2015.
  • Giri, G.L., Deepak, G., Manjula, S.H. and Venugopal, K.R., 2018. OntoYield: A Semantic Approach for Context-Based Ontology Recommendation Based on Structure Preservation. In Proceedings of International Conference on Computational Intelligence and Data Engineering (pp. 265-275). Springer, Singapore.
  • Deepak, G., and Z. Gulzar. “Ontoepds: Enhanced and personalized differential semantic algorithm incorporating ontology driven query enrichment.” Journal of Advanced Research in Dynamical and Control Systems 9, no. Specia (2017): 567-582.
  • Deepak, Gerard, and Dheera Kasaraneni. “OntoCommerce: an ontology focused semantic framework for personalised product recommendation for user targeted e-commerce.” International Journal of Computer Aided Engineering and Technology 11, no. 4-5 (2019): 449-466. doi: 10.1504/IJCAET.2019.100445

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.