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[4] F. Momeni and P. Mayr, “Using Co-authorship Networks for Author Name Disambiguation,” Proc. 16th ACM/IEEE-CS Jt. Conf. Digit. Libr. - JCDL ’16, pp. 261–262, 2016.
[5] J. Schulz, “Using Monte Carlo simulations to assess the impact of author name disambiguation quality on different bibliometric analyses,” Scientometrics, 2016.
[6] X. Lin, J. Zhu, Y. T. B, F. Yang, B. Peng, and W. Li, “A Novel Approach for Author Name,” pp. 169–182, 2017.
[7] D. Han, S. Liu, Y. Hu, B. Wang, and Y. Sun, “ELM-based name disambiguation in bibliography,” World Wide Web, vol. 18, no. 2, pp. 253–263, 2015.
[8] T. Huynh, K. Hoang, T. Do, and D. Huynh, “Vietnamese author name disambiguation for integrating publications from heterogeneous sources,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 7802 LNAI, no. PART 1, pp. 226–235.
[9] N. Onodera et al., “A method for eliminating articles by homonymous authors from the large number of articles retrieved by author search,” J. Assoc. Inf. Sci. Technol., vol. 62, no. 4, pp. 677–690, 2011.
[10] H. N. Tran, T. Huynh, and T. Do, “Author name disambiguation by using deep neural network,” in Asian Conference on Intelligent Information and Database Systems, 2014, pp. 123–132.
[11] J. Wang, K. Berzins, D. Hicks, J. Melkers, F. Xiao, and D. Pinheiro, “A boosted-trees method for name disambiguation,” Scientometrics, vol. 93, no. 2, pp. 391–411, 2012.
[12] A. P. de Carvalho, A. A. Ferreira, A. H. F. Laender, and M. A. Gonçalves, “Incremental unsupervised name disambiguation in cleaned digital libraries,” J. Inf. Data Manag., vol. 2, no. 3, p. 289, 2011.
[13] Y. Liu, W. Li, Z. Huang, and Q. Fang, “A fast method based on multiple clustering for name disambiguation in bibliographic citations,” J. Assoc. Inf. Sci. Technol., vol. 66, no. 3, pp. 634–644, 2015.
[14] C. Schulz, A. Mazloumian, A. M. Petersen, O. Penner, and D. Helbing, “Exploiting citation networks for large-scale author name disambiguation,” pp. 1–14, 2014.
[15] J. Tang, A. C. M. Fong, B. Wang, and J. Zhang, “A unified probabilistic framework for name disambiguation in digital library,” IEEE Trans. Knowl. Data Eng., vol. 24, no. 6, pp. 975–987, 2012.
[16] L. Tang and J. P. Walsh, “Bibliometric fingerprints: name disambiguation based on approximate structure equivalence of cognitive maps,” Scientometrics, vol. 84, no. 3, pp. 763–784, 2010.
[17] A. A. Ferreira, A. Veloso, M. A. Gonçalves, and A. H. F. Laender, “Self-Training Author Name Disambiguation for Information Scarce Scenarios,” vol. 65, no. 6, pp. 1257–1278, 2014.
[18] T. Gurney, E. Horlings, and P. Van Den Besselaar, “Author disambiguation using multi-aspect similarity indicators,” Scientometrics, vol. 91, no. 2, pp. 435–449, 2012.
[19] M. Imran, S. Z. H. Gillani, and M. Marchese, “A real-time heuristic-based unsupervised method for name disambiguation in digital libraries,” D-Lib Mag., vol. 19, no. 9/10, 2013.
[20] M. Levin, S. Krawczyk, S. Bethard, and D. Jurafsky, “Citation-based bootstrapping for large-scale author disambiguation,” J. Assoc. Inf. Sci. Technol., vol. 63, no. 5, pp. 1030–1047, 2012.
[21] G. Louppe, H. T. Al-Natsheh, M. Susik, and E. J. Maguire, “Ethnicity sensitive author disambiguation using semi-supervised learning,” in International Conference on Knowledge Engineering and the Semantic Web, 2016, pp. 272–287.
[22] H.-T. Peng, C.-Y. Lu, W. Hsu, and J.-M. Ho, “Disambiguating authors in citations on the web and authorship correlations,” Expert Syst. Appl., vol. 39, no. 12, pp. 10521–10532, 2012.
[23] P. Wang, J. Zhao, K. Huang, and B. Xu, “A unified semi-supervised framework for author disambiguation in academic social network,” in International Conference on Database and Expert Systems Applications, 2014, pp. 1–16.
[24] J. Zhao, P. Wang, and K. Huang, “A semi-supervised approach for author disambiguation in KDD CUP 2013,” in Proceedings of the 2013 KDD Cup 2013 Workshop, 2013, p. 10.
[25] J. Zhu, Y. Yang, Q. Xie, L. Wang, and S.-U. Hassan, “Robust hybrid name disambiguation framework for large databases,” Scientometrics, vol. 98, no. 3, pp. 2255–2274, 2014.
[26] B.-W. On, I. Lee, and D. Lee, “Scalable clustering methods for the name disambiguation problem,” Knowl. Inf. Syst., vol. 31, no. 1, p. 129, 2012.
[27] D. Shin, T. Kim, J. Choi, and J. Kim, “Author name disambiguation using a graph model with node splitting and merging based on bibliographic information,” Scientometrics, vol. 100, no. 1, pp. 15–50, 2014.
[28] X. Fan, J. Wang, X. Pu, L. Zhou, and B. Lv, “On graph-based name disambiguation,” J. Data Inf. Qual., vol. 2, no. 2, p. 10, 2011.
[29] F. H. Levin and C. A. Heuser, “Evaluating the use of social networks in author name disambiguation in digital libraries,” J. Inf. Data Manag., vol. 1, no. 2, p. 183, 2010.
[30] X. Wang, J. Tang, H. Cheng, and S. Y. Philip, “Adana: Active name disambiguation,” in Data Mining (ICDM), 2011 IEEE 11th International Conference on, 2011, pp. 794–803.
[31] Y. Liu and Y. Tang, “Network based Framework for Author Name Disambiguation Applications,” Int. J. u-and e-Service, Sci. Technol., vol. 8, no. 9, pp. 75–82, 2015.
[32] W.-S. Chin et al., “Effective string processing and matching for author disambiguation,” J. Mach. Learn. Res., vol. 15, no. 1, pp. 3037–3064, 2014.
[33] A. F. Santana, M. A. Gonçalves, A. H. F. Laender, and A. A. Ferreira, “On the combination of domain-specific heuristics for author name disambiguation: the nearest cluster method,” Int. J. Digit. Libr., vol. 16, no. 3–4, pp. 229–246, 2015.
[34] F. Provost and R. Kohavi, “Guest editors’ introduction: On applied research in machine learning,” Mach. Learn., vol. 30, no. 2, pp. 127–132, 1998.
[35] J. Masci, A. Giusti, D. Ciresan, G. Fricout, and J. Schmidhuber, “A fast learning algorithm for image segmentation with max-pooling convolutional networks,” in 2013 IEEE International Conference on Image Processing, 2013, pp. 2713–2717.
[36] A. Veloso, A. A. Ferreira, M. A. Gonçalves, A. H. F. Laender, and W. M. Jr, “Cost-effective on-demand associative author name disambiguation,” Inf. Process. Manag., vol. 48, no. 4, pp. 680–697, 2012.
[37] A. F. Santana, M. Andr, A. H. F. Laender, and A. A. Ferreira, “Incremental Author Name Disambiguation by Exploiting Domain-Specific Heuristics,” vol. 00, no. 00, 2016.
[38] A. A. Ferreira and M. A. Gonçalves, “A Brief Survey of Automatic Methods for Author Name Disambiguation,” vol. 41, no. 2, 2012.
[39] N. R. Smalheiser and V. I. Torvik, “Author name disambiguation,” Annu. Rev. Inf. Sci. Technol., vol. 43, no. 1, pp. 1–43, 2009.
[40] P. Andruszkiewicz and S. Szepietowski, “Person Name Disambiguation for Building University Knowledge Base,” no. Ii, pp. 270–279, 2016.
[41] A. A. Ferreira, R. Silva, M. A. Gonçalves, A. Veloso, and A. H. F. Laender, “Active Associative Sampling for Author Name Disambiguation,” pp. 175–184, 2012.
[42] H. Peng, C. Lu, W. Hsu, and J. Ho, “Expert Systems with Applications Disambiguating authors in citations on the web and authorship correlations,” Expert Syst. Appl., vol. 39, no. 12, pp. 10521–10532, 2012.
[43] K. Yang and Y. Wu, “Author Name Disambiguation in Citations,” pp. 335–338, 2011.
[44] J. Liu, “Ranking-Based Name Matching for Author Disambiguation in Bibliographic Data.”
[2] H. Han, C. Yao, and Y. Fu, “Semantic fingerprints-based author name disambiguation in Chinese documents,” Scientometrics, 2017.
[3] I. Hussain and S. Asghar, “A survey of author name disambiguation techniques: 2010--2016,” Knowl. Eng. Rev., vol. 32, 2017.
[4] F. Momeni and P. Mayr, “Using Co-authorship Networks for Author Name Disambiguation,” Proc. 16th ACM/IEEE-CS Jt. Conf. Digit. Libr. - JCDL ’16, pp. 261–262, 2016.
[5] J. Schulz, “Using Monte Carlo simulations to assess the impact of author name disambiguation quality on different bibliometric analyses,” Scientometrics, 2016.
[6] X. Lin, J. Zhu, Y. T. B, F. Yang, B. Peng, and W. Li, “A Novel Approach for Author Name,” pp. 169–182, 2017.
[7] D. Han, S. Liu, Y. Hu, B. Wang, and Y. Sun, “ELM-based name disambiguation in bibliography,” World Wide Web, vol. 18, no. 2, pp. 253–263, 2015.
[8] T. Huynh, K. Hoang, T. Do, and D. Huynh, “Vietnamese author name disambiguation for integrating publications from heterogeneous sources,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 7802 LNAI, no. PART 1, pp. 226–235.
[9] N. Onodera et al., “A method for eliminating articles by homonymous authors from the large number of articles retrieved by author search,” J. Assoc. Inf. Sci. Technol., vol. 62, no. 4, pp. 677–690, 2011.
[10] H. N. Tran, T. Huynh, and T. Do, “Author name disambiguation by using deep neural network,” in Asian Conference on Intelligent Information and Database Systems, 2014, pp. 123–132.
[11] J. Wang, K. Berzins, D. Hicks, J. Melkers, F. Xiao, and D. Pinheiro, “A boosted-trees method for name disambiguation,” Scientometrics, vol. 93, no. 2, pp. 391–411, 2012.
[12] A. P. de Carvalho, A. A. Ferreira, A. H. F. Laender, and M. A. Gonçalves, “Incremental unsupervised name disambiguation in cleaned digital libraries,” J. Inf. Data Manag., vol. 2, no. 3, p. 289, 2011.
[13] Y. Liu, W. Li, Z. Huang, and Q. Fang, “A fast method based on multiple clustering for name disambiguation in bibliographic citations,” J. Assoc. Inf. Sci. Technol., vol. 66, no. 3, pp. 634–644, 2015.
[14] C. Schulz, A. Mazloumian, A. M. Petersen, O. Penner, and D. Helbing, “Exploiting citation networks for large-scale author name disambiguation,” pp. 1–14, 2014.
[15] J. Tang, A. C. M. Fong, B. Wang, and J. Zhang, “A unified probabilistic framework for name disambiguation in digital library,” IEEE Trans. Knowl. Data Eng., vol. 24, no. 6, pp. 975–987, 2012.
[16] L. Tang and J. P. Walsh, “Bibliometric fingerprints: name disambiguation based on approximate structure equivalence of cognitive maps,” Scientometrics, vol. 84, no. 3, pp. 763–784, 2010.
[17] A. A. Ferreira, A. Veloso, M. A. Gonçalves, and A. H. F. Laender, “Self-Training Author Name Disambiguation for Information Scarce Scenarios,” vol. 65, no. 6, pp. 1257–1278, 2014.
[18] T. Gurney, E. Horlings, and P. Van Den Besselaar, “Author disambiguation using multi-aspect similarity indicators,” Scientometrics, vol. 91, no. 2, pp. 435–449, 2012.
[19] M. Imran, S. Z. H. Gillani, and M. Marchese, “A real-time heuristic-based unsupervised method for name disambiguation in digital libraries,” D-Lib Mag., vol. 19, no. 9/10, 2013.
[20] M. Levin, S. Krawczyk, S. Bethard, and D. Jurafsky, “Citation-based bootstrapping for large-scale author disambiguation,” J. Assoc. Inf. Sci. Technol., vol. 63, no. 5, pp. 1030–1047, 2012.
[21] G. Louppe, H. T. Al-Natsheh, M. Susik, and E. J. Maguire, “Ethnicity sensitive author disambiguation using semi-supervised learning,” in International Conference on Knowledge Engineering and the Semantic Web, 2016, pp. 272–287.
[22] H.-T. Peng, C.-Y. Lu, W. Hsu, and J.-M. Ho, “Disambiguating authors in citations on the web and authorship correlations,” Expert Syst. Appl., vol. 39, no. 12, pp. 10521–10532, 2012.
[23] P. Wang, J. Zhao, K. Huang, and B. Xu, “A unified semi-supervised framework for author disambiguation in academic social network,” in International Conference on Database and Expert Systems Applications, 2014, pp. 1–16.
[24] J. Zhao, P. Wang, and K. Huang, “A semi-supervised approach for author disambiguation in KDD CUP 2013,” in Proceedings of the 2013 KDD Cup 2013 Workshop, 2013, p. 10.
[25] J. Zhu, Y. Yang, Q. Xie, L. Wang, and S.-U. Hassan, “Robust hybrid name disambiguation framework for large databases,” Scientometrics, vol. 98, no. 3, pp. 2255–2274, 2014.
[26] B.-W. On, I. Lee, and D. Lee, “Scalable clustering methods for the name disambiguation problem,” Knowl. Inf. Syst., vol. 31, no. 1, p. 129, 2012.
[27] D. Shin, T. Kim, J. Choi, and J. Kim, “Author name disambiguation using a graph model with node splitting and merging based on bibliographic information,” Scientometrics, vol. 100, no. 1, pp. 15–50, 2014.
[28] X. Fan, J. Wang, X. Pu, L. Zhou, and B. Lv, “On graph-based name disambiguation,” J. Data Inf. Qual., vol. 2, no. 2, p. 10, 2011.
[29] F. H. Levin and C. A. Heuser, “Evaluating the use of social networks in author name disambiguation in digital libraries,” J. Inf. Data Manag., vol. 1, no. 2, p. 183, 2010.
[30] X. Wang, J. Tang, H. Cheng, and S. Y. Philip, “Adana: Active name disambiguation,” in Data Mining (ICDM), 2011 IEEE 11th International Conference on, 2011, pp. 794–803.
[31] Y. Liu and Y. Tang, “Network based Framework for Author Name Disambiguation Applications,” Int. J. u-and e-Service, Sci. Technol., vol. 8, no. 9, pp. 75–82, 2015.
[32] W.-S. Chin et al., “Effective string processing and matching for author disambiguation,” J. Mach. Learn. Res., vol. 15, no. 1, pp. 3037–3064, 2014.
[33] A. F. Santana, M. A. Gonçalves, A. H. F. Laender, and A. A. Ferreira, “On the combination of domain-specific heuristics for author name disambiguation: the nearest cluster method,” Int. J. Digit. Libr., vol. 16, no. 3–4, pp. 229–246, 2015.
[34] F. Provost and R. Kohavi, “Guest editors’ introduction: On applied research in machine learning,” Mach. Learn., vol. 30, no. 2, pp. 127–132, 1998.
[35] J. Masci, A. Giusti, D. Ciresan, G. Fricout, and J. Schmidhuber, “A fast learning algorithm for image segmentation with max-pooling convolutional networks,” in 2013 IEEE International Conference on Image Processing, 2013, pp. 2713–2717.
[36] A. Veloso, A. A. Ferreira, M. A. Gonçalves, A. H. F. Laender, and W. M. Jr, “Cost-effective on-demand associative author name disambiguation,” Inf. Process. Manag., vol. 48, no. 4, pp. 680–697, 2012.
[37] A. F. Santana, M. Andr, A. H. F. Laender, and A. A. Ferreira, “Incremental Author Name Disambiguation by Exploiting Domain-Specific Heuristics,” vol. 00, no. 00, 2016.
[38] A. A. Ferreira and M. A. Gonçalves, “A Brief Survey of Automatic Methods for Author Name Disambiguation,” vol. 41, no. 2, 2012.
[39] N. R. Smalheiser and V. I. Torvik, “Author name disambiguation,” Annu. Rev. Inf. Sci. Technol., vol. 43, no. 1, pp. 1–43, 2009.
[40] P. Andruszkiewicz and S. Szepietowski, “Person Name Disambiguation for Building University Knowledge Base,” no. Ii, pp. 270–279, 2016.
[41] A. A. Ferreira, R. Silva, M. A. Gonçalves, A. Veloso, and A. H. F. Laender, “Active Associative Sampling for Author Name Disambiguation,” pp. 175–184, 2012.
[42] H. Peng, C. Lu, W. Hsu, and J. Ho, “Expert Systems with Applications Disambiguating authors in citations on the web and authorship correlations,” Expert Syst. Appl., vol. 39, no. 12, pp. 10521–10532, 2012.
[43] K. Yang and Y. Wu, “Author Name Disambiguation in Citations,” pp. 335–338, 2011.
[44] J. Liu, “Ranking-Based Name Matching for Author Disambiguation in Bibliographic Data.”
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Affiliations
Firdaus Firdaus
| Director Production | Faculty of Computer Science, Sriwijaya University
Muhammad Anshori
Universitas Sriwijaya
Sarifah Putri Raflesia
Universitas Sriwijaya
Ahmad Zarkasi
Universitas Sriwijaya
Mira Afrina
Universitas Sriwijaya
Siti Nurmaini
Universitas Sriwijaya
Deep Neural Network Structure to Improve Individual Performance based Author Classification
Abstract
This paper proposed an improved method for author name disambiguation problem, both homonym and synonym. The data prepared is the distance data of each pair of author’s attributes, Levenshtein distance are used. Using Deep Neural Networks, we found large gains on performance. The result shows that level of accuracy is 99.6% with a low number of hidden layers