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Networking Readers: Using Semantic and Geographical Links to Enhance e-Books Reading Experience

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9876))

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Abstract

This paper describes how a system currently developed can be used to connect readers of enhanced e-books both to each other, to web resources and to real world locations and events. A set of Natural Language Processing resources are used to annotate relevant e-books and a framework is developed using the original text and the annotated metadata to detect and display semantic connections within the text and from text to relevant web data. This system can be further enhanced to detect connections between users using common reading interests and habits, their location in relation to locations found in text, and their reading and real world localisation history. Users could also be able to share collected data (text and web references, video and audio recordings, other interested readers) improving an individual reader experience and helping to establish a community around a particular e-book or a real life location with literary significance.

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Notes

  1. 1.

    https://www.goodreads.com/.

References

  1. Aggarwal, C.: Text mining in social networks. In: Aggarwal, C. (ed.) Social Network Data Analytics, 2nd edn, pp. 353–374. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  2. Irfana, R., Kinga, C.K., Gragesa D., Ewena S., Khana, S.U., Madania, S.A., Kolodzieja, J., Wanga, L., Chena, D,, Rayesa, A, Tziritasa, N., Xua, C., Zomayaa, A.Y., Alzahrania, A.S., and L, H.: A Survey on Text Mining in Social Networks. The Knowledge Engineering Review. Cambridge University Press, Cambridge, pp. 1–24 (2015)

    Google Scholar 

  3. Romero, C., Ventura, S.: Data mining in education. Wiley Interdisc. Rev. Data Min. Knowl. Disc. 3(1), 12–27 (2013)

    Article  Google Scholar 

  4. Hung, J.L., Zhang, K.: Examining mobile learning trends 2003–2008: a categorical meta-trend analysis using text mining techniques. J. Comput. High. Educ. 24(1), 1–17 (2012)

    Article  Google Scholar 

  5. Cambria, E., Schuller, B., Xia, Y., Havasi, C.: New avenues in opinion mining and sentiment analysis. IEEE Intell. Syst. 2, 15–21 (2013)

    Article  Google Scholar 

  6. Netzer, O., Feldman, R., Goldenberg, J., Fresko, M.: Mine your own business: market-structure surveillance through text mining. Mark. Sci. 31(3), 521–543 (2012)

    Article  Google Scholar 

  7. Kraak, M.-J., Rico, V.D.: Principles of hypermaps. Comput. Geosci. 23(4), 457–464 (1997)

    Article  Google Scholar 

  8. Simionescu, R.: UAIC Romanian Part of Speech Tagger, resource on nlptools.info.uaic.ro, “Alexandru Ioan Cuza” University of Iași (2011)

  9. Simionescu, R.: Romanian deep noun phrase chunking using graphical grammar studio. In: Moruz, M.A., Cristea, D., Tufiș, D., Iftene, A., Teodorescu, H.N. (eds.) Proceedings of the 8th International Conference Linguistic Resources and Tools for Processing of the Romanian Language, pp. 135–143 (2012)

    Google Scholar 

  10. Gîfu, D., Vasilache, G.: A language independent named entity recognition system. In: Colhon, M., Iftene, A., Barbu Mititelu, V., Cristea, D., Tufiş, D. (eds.) Proceedings of ConsILR-2014, pp. 181–188, “Alexandru Ioan Cuza” University Publishing House, Iaşi (2014)

    Google Scholar 

  11. Ignat, E.: RARE-UAIC (Robust Anaphora Resolution Engine), open-resource on META-SHARE, “Alexandru Ioan Cuza” University of Iași (2011)

    Google Scholar 

  12. Cristea, D., Postolache, O.: Anaphora resolution: framework, creation of resources, and evaluation. In: Proceedings of the Fifth International Conference Formal Approaches to South Slavic and Balkan Languages, FASSBL-2006, 18–20 October, Sofia, Bulgaria (2006)

    Google Scholar 

  13. Cristea, D., Gîfu, D., Pistol, I., Sfirnaciuc, D., Niculita, M.: A mixed approach in recognising geographical entities in texts. In: Trandabat, D., Gîfu, D. (eds.) EUROLAN 2015. CCIS, vol. 588, pp. 49–63. Springer, Heidelberg (2016). doi:10.1007/978-3-319-32942-0_4

    Chapter  Google Scholar 

  14. Gîfu, D., Pistol, I., Cristea, D.: Annotation conventions for geographical relations. In: Proceedings of the 11th International Conference Linguistic Resources and Tools for Processing the Romanian Language, ConsILR-2015, pp. 67–78 (2015)

    Google Scholar 

  15. Waterman, D.A., Hayes-Roth, F. (eds.): Pattern-Directed Inference Systems. Academic press, New York (2014)

    Google Scholar 

Download references

Acknowledgements

The work reported in this paper was achieved with the support of the PN-II-PT-PCCA-2013-4-1878 Partnership PCCA 2013 grant “MappingBooks - Intră în carte!”, having as partners UAIC, SIVECO and „Ștefan Cel Mare” University of Suceava. We address our thanks to Vivi Năstase for relevant ideas and realisation of Figs. 2 and 3.

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Correspondence to Dan Cristea or Daniela Gîfu .

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Cristea, D., Pistol, I., Gîfu, D., Anechitei, D. (2016). Networking Readers: Using Semantic and Geographical Links to Enhance e-Books Reading Experience. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-45246-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45245-6

  • Online ISBN: 978-3-319-45246-3

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