Index data structure, functionality and microservices in thematic virtual museums
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 14 (2018) no. 1, pp. 31-39 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

Emergence of digital data in the digital age is inevitable, many people rely on search engines for searching information on the Internet. Cultural exhibitions have long ago appeared in virtual museums online as public services which provide a great deal of digital information about collections. In this work we will develop our methods to design and combine services for accessing data in a virtual museum, index data structure with a ranking system and microservices architecture. The digital transformation phenomena are changing institutional innovation and creativity, the museum institution must provide good impact, experiences and values to their visitors, therefore our methodology to develop, organize and integrate a theme in museums institution as an approach to build the concept of Thematic Virtual Museums which serving and providing their visitors powerful relevant information of museum's collections. Refs 17. Figs 5. Table 1.
Keywords: inverted index, thematic virtual museum, information retrieval
Mots-clés : collection, microservices.
@article{VSPUI_2018_14_1_a3,
     author = {S. Anggai and I. S. Blekanov and S. L. Sergeev},
     title = {Index data structure, functionality and microservices in thematic virtual museums},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
     pages = {31--39},
     year = {2018},
     volume = {14},
     number = {1},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/VSPUI_2018_14_1_a3/}
}
TY  - JOUR
AU  - S. Anggai
AU  - I. S. Blekanov
AU  - S. L. Sergeev
TI  - Index data structure, functionality and microservices in thematic virtual museums
JO  - Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
PY  - 2018
SP  - 31
EP  - 39
VL  - 14
IS  - 1
UR  - http://geodesic.mathdoc.fr/item/VSPUI_2018_14_1_a3/
LA  - en
ID  - VSPUI_2018_14_1_a3
ER  - 
%0 Journal Article
%A S. Anggai
%A I. S. Blekanov
%A S. L. Sergeev
%T Index data structure, functionality and microservices in thematic virtual museums
%J Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
%D 2018
%P 31-39
%V 14
%N 1
%U http://geodesic.mathdoc.fr/item/VSPUI_2018_14_1_a3/
%G en
%F VSPUI_2018_14_1_a3
S. Anggai; I. S. Blekanov; S. L. Sergeev. Index data structure, functionality and microservices in thematic virtual museums. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 14 (2018) no. 1, pp. 31-39. http://geodesic.mathdoc.fr/item/VSPUI_2018_14_1_a3/

[1] Anggai S., Blekanov I. S., Sergeev S. L., “Management and information processing at virtual museum”, IEEE 4th Intern. conference on System Engineering and Technology (ICSET) (Bandung, Indonesia, 2014), 1–5

[2] Hassaan M. A., Burtscher M., Pingali K., “Breadth first search on cost-efficient Multi-GPU systems”, 19th Intern. conference on Parallel Architectures and Compilation Techniques (PACT 2010) (Vienna, 2010), 539–540

[3] Stanescu L., Brezovan M., Burdescu D. D., “Automatic mapping of MySQL databases to NoSQL MongoDB”, Federated Conference on Computer Science and Information Systems (FedCSIS 2016) (Gdansk, Poland, 2016), 837–840

[4] Jia T., Zhao X., Wang Z., Gong D., Ding G., “Model transformation and data migration from Relational Database to MongoDB”, IEEE Intern. Congress on Big Data (BigData Congress 2016) (San Francisco, CA, USA, 2016), 60–67

[5] Wu Q., Chen C., Jiang Y., “Multi-source heterogeneous Hakka culture heritage data management based on MongoDB”, 2016 Fifth Intern. conference on Agro Geoinformatics (Tianjin, 2016), 1–6 | MR

[6] Anggai S., Blekanov I. S., Sergeev S. L., “Design Muntoi web-based framework and search engine analytics for thematic virtual museums”, 4th Intern. conference on Interactive Digital Media (ICIDM) (Bandung, Indonesia, 2015), 1–5

[7] Brin S., Page L., “The anatomy of a large-scale hypertextual Web search engine”, Proceedings of the Seventh Intern. conference on World Wide Web 7 (WWW7) (Amsterdam, The Netherlands, 1998), 107–117 | Zbl

[8] Zobel J., Moffat A., “Inverted files for text search engines”, Journal ACM Computing Surveys (CSUR), 38:2 (2006), 6, 56 pp. | DOI

[9] Manning C. D., Raghavan P., Schutze H., Introduction to Information Retrieval, Cambridge University Press, New York, USA, 2008, 61–123 | DOI

[10] Panev K., Berberich K., “Phrase queries with inverted + direct indexes”, Intern. conference on Web Information Systems Engineering (Thessaloniki, Greece, 2014), 156–169

[11] Anggai S., Blekanov I. S., Sergeev S. L., “Construction inverted index for dynamic collections visualization in thematic virtual museums system”, 3rd Intern. conference on Science and Technology — Computer (ICST 2017) (Jogjakarta, 2017), 186–189

[12] Salton G., Buckley C., Term Weighting approaches in automatic text retrieval, Cornell University Press, Department of Computer Science, Cornell, 1987, 323–327

[13] Deerwester S., Dumais S. T., Furnas G. W., Landauer T. K., Harshman R., “Indexing by latent semantic analysis”, Journal of the American Society for Information Science, 41 (1990), 391–407 | 3.0.CO;2-9 class='badge bg-secondary rounded-pill ref-badge extid-badge'>DOI

[14] Blei D. M., Ng A. Y., Jordan M. I., “Latent dirichlet allocation”, The Journal of Machine Learning Research, 3:2 (2003), 993–1022 | Zbl

[15] Singleton A., “The economics of microservices”, IEEE Cloud Computing, 3:5 (2016), 16–20 | DOI

[16] Guo D., Wang W., Zeng G., Wei Z., “Microservices architecture based Cloudware Deployment Platform for service computing”, IEEE Symposium on Service-Oriented System Engineering (SOSE 2016) (Oxford, UK, 2016), 358–363 | Zbl

[17] Bakshi K., “Microservices-based software architecture and approaches”, 2017 IEEE Aerospace Conference (Big Sky, MT, USA, 2017), 1–8 | MR