Abstract
Blogging in present-day times has become a common form of voicing opinions and explaining them. Therefore, commercial interventions to advertise products and political interventions, to share a party’s agendas, etc., have been started to come upon blogs. The bloggers also make money on this, and a lot of upcoming bloggers are now finding high-grossing blogs and further write about the same topic or paraphrase it to increase their views in a very short time. This does not help in the growth of this mode of media in a long run. Thus, by finding the influential blogger these problems can be solved. This paper proposes a statistical knowledge engineering-based approach to provide an effective solution to this problem. The proposed OntoBlogDis uses TF-IDF, Synonymization, NPMI for Term Co-occurrence, Static Ontology Matching using ANOVA, Jaccard similarity, and knowledge harvesting from Wikidata. OntoBlogDis when compared to the baselined approach is inferred to be superior and recorded an overall F-measure and FNR are 96.84% and 0.02.
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References
Vasanthakumar, G.U., Priyanka, R., Vanitha, C., Bhavani, S., Asha, B.R., Shenoy, P., Venugopal, K.R.: PTMIBSS: profiling top most influential blogger using synonym substitution approach. ICTACT J. Soft Comput. 7(2), 1408–1420 (2017)
Agarwal, N., Liu, H., Tang, L., Yu, P.: Identifying the influential bloggers in a community WSDM ‘08. In: Proceedings of the 2008 International Conference on Web Search and Data Mining, pp. 207–218. ACM, California, USA (2008)
Zanette, M., Brito, E., Coutinho, M.: New influentials: an exploratory study on blogs. J. Direct Data Digit. Mark. Pract. 15, 36–46 (2013)
Khan, H.U., Daud, A., Malik, T.A.: MIIB: a metric to identify top influential bloggers in a community. PLoS ONE 10(9), 1–15 (2015)
Gliwa, B., Zygmunt, A.: Finding influential bloggers. Int. J. Mach. Learn. Comput. 5(2), 127–131 (2015)
Wongthontham, P., Abu-Salih, B.: Ontology-based approach for identifying the credibility domain in social big data. J. Organ. Comput. Electron. Commer. 28(4), 354–357 (2018)
Taieb, M.A.H., Aouicha, M.B., Hamadou, A.B.: Ontology-based approach for measuring semantic similarity. Eng. Appl. Artif. Intel. 36, 238–261 (2014)
Todorović, M.L., Petrović, D.Č., Mihić, M.M., Obradović, V.L., Bushuyev, S.D.: Project success analysis framework: a knowledge-based approach in project management. Int. J. Proj. Manag. 33(4), 772–783 (2015)
Kumar, A., Deepak, G., Santhanavijayan, A.: HeTOnto: a novel approach for conceptualization, modeling, visualization, and formalization of domain centric ontologies for heat transfer. In: 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1–6. IEEE, Bangalore, India (2020)
Deepak, G., Kasaraneni, D.: OntoCommerce: an ontology focused semantic framework for personalised product recommendation for user targeted e-commerce. Int. J. Comput. Aided Eng. Technol. 11(4/5):449–466 (2019)
Gulzar, Z., Anny Leema, A., Deepak, G.: PCRS: personalized course recommender system based on hybrid approach. Procedia Comput. Sci. 125, 518–524 (2018)
Deepak, G., Teja, V., Santhanavijayan, A.: A novel firefly driven scheme for resume parsing and matching based on entity linking paradigm. J. Discrete Math. Sci. Cryptogr. 23(1), 157–165 (2020)
Haribabu, S., Sai Kumar, P.S., Padhy, S., Deepak, G., Santhanavijayan, A., Kumar, N.D.: A novel approach for ontology focused inter- domain personalized search based on semantic set expansion. In: 2019 Fifteenth International Conference on Information Processing (ICINPRO), 2019, pp. 1–5. IEEE, Bengaluru, India (2019)
Deepak, G., Naresh Kumar, G., Sai Yashaswea Bharadwaj, V.S.N., Santhanavijayan, A.: OntoQuest: an ontological strategy for automatic question generation for e-assessment using static and dynamic knowledge. In: 2019 Fifteenth International Conference on Information Processing (ICINPRO), pp. 1–6. IEEE, Bengaluru, India (2019)
Park, H.-J., Rho, S.: A study on the selection of SNS influenced users by interactivity: focusing on the blogosphere with continuous reference relationships. J. Korea Electron. Commerce Assoc. 17(4), 69–93 (2012)
Shahzad, Q., Ali, R.: Text mining: use of TF-IDF to examine the relevance of words to documents. Int. J. Comput. Appl. 181(1), 25–29 (2018)
Bouma, G.: Normalized (pointwise) mutual information in collocation extraction. In: Proceedings of the Biennial GSCL Conference, pp. 31–40. Potsdam, Germany (2009)
Niwattanakul, S., Singthongchai, J., Naenudorn, E., Wanapu, S.: Using of Jaccard coefficient for keywords similarity. Proc. Int. Multiconf. Eng. Comput. Sci. 1(6), 380–384 (2013)
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Adithya, V., Deepak, G., Santhanavijayan, A. (2022). OntoBlogDis: A Knowledge-Centric Ontology Driven Socially Aware Framework for Influential Blogger Discovery. In: Noor, A., Sen, A., Trivedi, G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems . ETTIS 2021. Advances in Intelligent Systems and Computing, vol 1371. Springer, Singapore. https://doi.org/10.1007/978-981-16-3097-2_4
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