Abstract
With the electronic transformation of traditional paper media, the integration of government new media platforms, the establishment of various institutions on social, music, video, shopping and other websites, and the rise of We-Media, massive new media information resources come out. In order to solve the problem of organizing and managing such information resources, and meet the needs of people’s deep use, propose an intelligent catalog system based on the development status of new media information resources. The intelligent catalog system for new media information resources combines massive data, bibliography theories, various catalogs, emerging intelligent technologies, catalog applications, etc., consisting of catalog data, catalog set, catalog application and support and guarantee. Metadata, classification and coding, and knowledge graph are key technologies for the construction of intelligent catalog system. Through the combination of bibliographic theory and information technologies, new media information resources can be better managed and utilized, and it can be fulfilled to provide personalized, diversified, integrated, accurate knowledge services for the users.
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References
Jingang, L., Shibin, L., Wei, L.: The design and implementation of the IDS catalogue data archive system. In: Zhang, T. (ed.) International Conference on Instrumentation, Meas-urement, Circuits and Systems 2011, LNCS, vol. 127, pp. 837-844. Springer, Heidelberg (2012)
Stillerman, J., Fredian, T., Greenwald, M., et al.: Data catalog project—a browsable, searchable, metadata system. Fusion Eng. Des. 112, 995–998 (2016)
Siabato, W., Claramunt, C., Manso-Callejo, M.Á., et al.: TimeBliography: a dynamic and online bibliography on temporal GIS. Trans. GIS 18(6), 799–816 (2015)
Truitt, A., Young, P.A., Spacek, A., et al.: A catalog of stellar evolution profiles and the effects of variable composition on habitable systems. Astrophys. J. 804(2), 145–160 (2015)
Zhong, S.: Heterogeneous memristive models design and its application in information security. Comput. Mat. Continua 60(2), 465–479 (2019)
China Internet Network Information Center. http://www.cac.gov.cn/2019-08/30/c_1124938750.htm. Accessed 28 Oct 2019
Lacasta, J., Lopez-Pellicer, F.J., Espejo-García, B., et al.: Aggregation-based information retrieval system for geospatial data catalogs. Int. J. Geogr. Inf. Sci. 31(8), 1583–1605 (2017)
Weijin, J., Jiahui, C., Yirong, J., et al.: A new time-aware collaborative filtering intelligent recommendation system. Comput. Mater. Continua 61(2), 849–859 (2019)
BoberićKrstićev, D., Tešendić, D.: Mixed approach in creating a university union catalogue. Electronic Library 33(6), 970–989 (2015)
Oramas, S., Ostuni, V.C., Noia, T.D., et al.: Sound and music recommendation with knowledge graphs. Acm Trans. Intell. Syst. Technol. 8(2), 1–21 (2016)
Bohan, N., Yongfeng, H.: An improved method for web text affective cognition computing based on knowledge graph. Comput. Mater. Continua 59(1), 1–14 (2019)
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Li, Y., Shi, J., Han, J., Lu, M., Zhang, Y. (2020). Research on the Construction of Intelligent Catalog System for New Media Information Resources. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_4
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DOI: https://doi.org/10.1007/978-3-030-57881-7_4
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