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MetaBlog: A Metadata Driven Semantics Aware Approach for Blog Tagging

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Digital Technologies and Applications (ICDTA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 455))

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Abstract

Blogs on the internet are very popular and due to their popularity and knowledge filled contents on various topic, today internet has a lot of blogs on various sites, hence if a person wants to look for a particular blog it becomes quite a task for him/her to get the relevant blog out of internet searches. To solve this problem several approaches such as TextRank and TF-IDF, User Selection combined with knowledge flow, labels and PageRank, clustering etc. were proposed in the past. The proposed MetaBlog approach involves knowledge centric approach infused with machine learning paradigm such as random forest where a semantic similarity is computed between the RDF generated values and Random Forest top 25% selection and a final tag is finalized. The proposed MetaBlog yields an overall Accuracy of 93.20%, with a low False Discovery Rate of 0.09.

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References

  1. Tang, L.-J., Zhang, C.-Z.: Method of tags recommendation for blogs: a comparative study. In: 2012 International Conference on Machine Learning and Cybernetics, vol. 5, pp. 2037–2040, IEEE, 2012

    Google Scholar 

  2. Hashemi, A., Dowlatshahi, M.B., Nezamabadi-pour, H.: Mgfs: a multilabel graph-based feature selection algorithm via pagerank centrality. Exp. Syst. Appl. 142, 113024 (2020)

    Article  Google Scholar 

  3. Zhang, S., Liu, W., Deng, X., Xu, Z., Choo, K.-K.R.: Micro-blog topic recommendation based on knowledge flow and user selection. J. Computational Science 26, 512–521 (2018)

    Article  Google Scholar 

  4. Veeramachaneni, C.H.P.A.S., Hayes, C., Avesani, P.: An analysis of the use of tags in a blog recommender system, In: IJCAI 2007, pp. 2772–2777 (2007)

    Google Scholar 

  5. Singh, A.K., et al.: Accuracy enhancement of collaborative filtering recommender system for blogs using latent semantic indexing. In: 2017 Conference on Information and Communication Technology (CICT), pp. 1–4. IEEE, 2017

    Google Scholar 

  6. Sriharee, G.: An ontology-based approach to auto-tagging articles. Vietnam J. Comput. Sci. 2(2), 85–94 (2014). https://doi.org/10.1007/s40595-014-0033-6

    Article  Google Scholar 

  7. Jung, J.J.: Knowledge distribution via shared context between blog-based knowledge management systems: a case study of collaborative tagging. Expert Syst. Appl. 36(7), 10627–10633 (2009)

    Article  Google Scholar 

  8. Kim, J.W., Candan, K.S., Tatemura, J.: Organization and tagging of blog and news entries based on content reuse. J. Signal Process. Syst. 58(3), 407–421 (2010)

    Article  Google Scholar 

  9. Brooks, C.H., Montanez, N.: An analysis of the effectiveness of tagging in blogs. AAAI Spring Symposium: Comput. Approach. Anal. Weblogs 6, 9–14 (2006)

    Google Scholar 

  10. Deepak, G., Gulzar, Z., Leema, A.A.: An intelligent system for modeling and evaluation of domain ontologies for Crystallography as a prospective domain with a focus on their retrieval. Comput. Electric. Eng. 96, 107604 (2021)

    Article  Google Scholar 

  11. Roopak, N., Deepak, G.: OntoKnowNHS: Ontology Driven Knowledge Centric Novel Hybridised Semantic Scheme for Image Recommendation Using Knowledge Graph. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M.A. (eds.) KGSWC 2021. CCIS, vol. 1459, pp. 138–152. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91305-2_11

    Chapter  Google Scholar 

  12. Ojha, R., Deepak, G.: Metadata Driven Semantically Aware Medical Query Expansion. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M.A. (eds.) KGSWC 2021. CCIS, vol. 1459, pp. 223–233. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91305-2_17

    Chapter  Google Scholar 

  13. Yethindra, D. N., Deepak, G.: A Semantic approach for fashion recommendation using logistic regression and ontologies. In: 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), (pp. 1–6). IEEE September 2021

    Google Scholar 

  14. Adithya, V., Deepak, G.: HBlogRec: a hybridized cognitive knowledge scheme for blog recommendation infusing XGBoosting and semantic intelligence. In: 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), (pp. 1–6). IEEE July 2021

    Google Scholar 

  15. Surya, D., Deepak, G., Santhanavijayan, A.: KSTAR: A knowledge based approach for socially relevant term aggregation for web page recommendation. In: Motahhir, S., Bossoufi, B. (eds.) ICDTA 2021. LNNS, vol. 211, pp. 555–564. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-73882-2_50

    Chapter  Google Scholar 

  16. Krishnan, N., Deepak, G.: Towards a novel framework for trust driven web URL recommendation incorporating semantic alignment and recurrent neural network. In: 2021 7th International Conference on Web Research (ICWR), (pp. 232–237). IEEE May 2021

    Google Scholar 

  17. Rithish, H., Deepak, G., Santhanavijayan, A.: Automated assessment of question quality on online community forums. In: Motahhir, S., Bossoufi, B. (eds.) ICDTA 2021. LNNS, vol. 211, pp. 791–800. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-73882-2_72

    Chapter  Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. Roopak, N., Deepak, G.: KnowGen: a knowledge generation approach for tag recommendation using ontology and honey bee algorithm. In: Musleh Al-Sartawi, A.M.A., Razzaque, A., Kamal, M.M. (eds.) EAMMIS 2021. LNNS, vol. 239, pp. 345–357. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77246-8_33

    Chapter  Google Scholar 

  20. Deepak, G., Santhanavijayan, A.: UQSCM-RFD: A query–knowledge interfacing approach for diversified query recommendation in semantic search based on river flow dynamics and dynamic user interaction. Neural Comput. Appli. 34, 651–675 (2021)

    Article  Google Scholar 

  21. Tiwari, S., Al-Aswadi, F.N., Gaurav, D.: Recent trends in knowledge graphs: theory and practice. Soft. Comput. 25(13), 8337–8355 (2021). https://doi.org/10.1007/s00500-021-05756-8

    Article  Google Scholar 

  22. Kumar, N., Deepak, G., Santhanavijayan, A.: A novel semantic approach for intelligent response generation using emotion detection incorporating npmi measure. Proc. Comput, Sci. 167, 571–579 (2020)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India

    Harsh Shaw

  2. Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India

    Gerard Deepak

Authors
  1. Harsh Shaw
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  2. Gerard Deepak
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Correspondence to Gerard Deepak .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Shaw, H., Deepak, G. (2022). MetaBlog: A Metadata Driven Semantics Aware Approach for Blog Tagging. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-02447-4_42

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