[
1. Internet Live Stats. 2020. https://www.internetlivestats.com/total-number-of-websites/
]Search in Google Scholar
[
2. Hliaoutakis, A., G. Varelas, E. Voutsakis, E. G. M. Petrakis, E. Milios. Information Retrieval by Semantic Similarity. – Int. J. Semant. Web Inf. Syst., Vol. 2, 2011, No 3, pp. 55-73.10.4018/jswis.2006070104
]Search in Google Scholar
[
3. Geng, Z., D. Shang, Q. Zhu, Q. Wu, Y. Han. Research on Improved Focused Crawler and Its Application in Food Safety Public Opinion Analysis. – In: Proc. of 2017 Chinese Autom. Congr., 2017, pp. 2847-2852.10.1109/CAC.2017.8243261
]Search in Google Scholar
[
4. Liu, Z., Y. Du, Y. Zhao. Focused Crawler Based on Domain Ontology and FCA. – J. Inf. Comput. Sci., Vol. 8, 2011, No 10, pp. 1909-1917.
]Search in Google Scholar
[
5. Chakrabarti, S., M. van den Berg, B. Dom. Focused Crawling: A New Approach to Top-Specific Web Source Discovery. – Comput. Networks, Vol. 31, 1999, No 11-16, pp. 1623-1640.10.1016/S1389-1286(99)00052-3
]Search in Google Scholar
[
6. Menczer, F. Complementing Search Engines with Online Web Mining Agents. – Decis. Support Syst., Vol. 35, 2003, No 2, pp. 195-212.10.1016/S0167-9236(02)00106-9
]Search in Google Scholar
[
7. Park, J. R., C. Yang, Y. Tosaka, Q. Ping, H. el Mimouni. Developing an Automatic Crawling System for Populating a Digital Repository of Professional Development Resources: A Pilot Study. – J. Electron. Resour. Librariansh., Vol. 28, 2016, No 2, pp. 63-72.10.1080/1941126X.2016.1164549
]Search in Google Scholar
[
8. Agre, G. H., N. V. Mahajan. Keyword Focused Web Crawler. – In: Proc. of 2nd Int. Conf. Electron. Commun. Syst. ICECS’15, 2015, pp. 1089-1092.10.1109/ECS.2015.7124749
]Search in Google Scholar
[
9. Liu, W. J., Y. J. Du. A Novel Focused Crawler Based on Cell-Like Membrane Computing Optimization Algorithm. – Neurocomputing, Vol. 123, 2014, pp. 266-280.10.1016/j.neucom.2013.06.039
]Search in Google Scholar
[
10. Farag, M. M. G., S. Lee, E. A. Fox. Focused Crawler for Events. – Int. J. Digit. Libr., Vol. 19, 2018, No 1, pp. 3-19.10.1007/s00799-016-0207-1
]Search in Google Scholar
[
11. Chen, Z., J. Ma, J. Lei, B. Yuan, L. Lian, L. Song. A Cross-Language Focused Crawling Algorithm Based on Multiple Relevance Prediction Strategies. – Comput. Math. with Appl., Vol. 57, 2009, No 6, pp. 1057-1072.10.1016/j.camwa.2008.09.021
]Search in Google Scholar
[
12. Du, Y., W. Liu, X. Lv, G. Peng. An Improved Focused Crawler Based on Semantic Similarity Vector Space Model. – Appl. Soft Comput. J., Vol. 36, 2015, pp. 392-407.10.1016/j.asoc.2015.07.026
]Search in Google Scholar
[
13. Dong, H., F. K. Hussain. Self-Adaptive Semantic Focused Crawler for Mining Services Information Discovery. – IEEE Trans. Ind. Informatics, Vol. 10, 2014, No 2, pp. 1616-1626.10.1109/TII.2012.2234472
]Search in Google Scholar
[
14. Zheng, H. T., B. Y. Kang, H. G. Kim. An Ontology-Based Approach to Learnable Focused Crawling. – Inf. Sci. (Ny)., Vol. 178, 2008, No 23, pp. 4512-4522.10.1016/j.ins.2008.07.030
]Search in Google Scholar
[
15. Najork, M., J. L. Wiener. Breadth-First Search Crawling Yields High-Quality Pages. – In: Proc. of 10th Int. Conf. World Wide Web, WWW’01, 2001, pp. 114-118.10.1145/371920.371965
]Search in Google Scholar
[
16. Salton, G., A. Wong, C. Yang. Information Retrieval and Language Processing: A Vector Space Model for Automatic Indexing. – Commun. ACM, Vol. 18, 1975, No 11, pp. 613-620.10.1145/361219.361220
]Search in Google Scholar
[
17. Princeton University. About WordNet. WordNet, Princeton University, 2010.
]Search in Google Scholar
[
18. Bird, E. L., E. K. Bird, Steven. Natural Language Processing with Python. O’Reilly Media Inc, 2009.
]Search in Google Scholar
[
19. Li, Y., Z. A. Bandar, D. McLean. An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources. – IEEE Trans. Knowl. Data Eng., Vol. 15, 2003, No 4, pp. 871-882.10.1109/TKDE.2003.1209005
]Search in Google Scholar
[
20. Lin, D. Definition of Similarity in Informaiton Theory.Pdf, 1989.
]Search in Google Scholar
[
21. Robertson, S. The Probabilistic Relevance Framework: BM25 and Beyond. – Foundation and Trend K in Retrievel, Vol. 3, 2010, No 4.10.1561/1500000019
]Search in Google Scholar
[
22. Dhanith, P. R. J., B. Surendiran. An Ontology Learning Based Approach for Focused Web Crawling Using Combined Normalized Pointwise Mutual Information and Resnik Algorithm. – Int. J. Comput. Appl., Vol. 0, 2019, No 0, pp. 1-7.10.1080/1206212X.2019.1684023
]Search in Google Scholar
[
23. Dhanith, P. R. J., B. Surendiran, S. P. Raja. A Word Embedding Based Approach for Focused Web Crawling Using the Recurrent Neural Network. – International Journal of Interactive Multimedia and Artificial Intelligence, 2020, pp. 1-11.10.9781/ijimai.2020.09.003
]Search in Google Scholar
