Building an adaptive digital library interface based on data ontology

Author:

Ataeva Olga MuratovnaORCID,Serebryakov Vladimir AlekseevichORCID,Tuchkova Natalia PavlovnaORCID

Abstract

The work is devoted to the problem of customizing the user interfaces of an information system that integrates data. An adaptive interface serves as one of the means of organizing the presentation of subject domain data. The issue of using the semantic relations of ontology to select data corresponding to the objectives of the study is investigated. A model of an adaptive interface is considered, which allows the most accurate reflection of the needs of a researcher within a particular subject domain. It is shown how the adaptive interface is formed by means of the semantic library model.

Publisher

Keldysh Institute of Applied Mathematics

Reference13 articles.

1. Sabatucci L., Seidita V., Cossentino M. The Four Types of Self-adaptive Systems: A Metamodel. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KESIIMSS-18 2018. Smart Innovation, Systems and Technologies, 2018, vol. 76, pp. 440–450. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_44. https://www.researchgate.net/publication/318132984_The_Four_Types_of_Self-adaptive_Systems_A_Metamodel.

2. Ferreira H., Correia F. and Aguiar A. Design for an Adaptive Object-Model Framework. An Overview. Proceedings of the 4th Workshop on Models@run.time, held at the ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems (MoDELS'09) Denver, USA, October 5th, 2009. // CEUR Workshop Proceedings, M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen (Aachen, Germany), 2009, vol. 509, pp. 71-80. http://ceur-ws.org/Vol509/paper_13.pdf.

3. Yoder J. W., Johnson R. The Adaptive Object-Model Architectural Style. 2002. https://www.researchgate.net/publication/220864957.

4. Fowler M. and Lewis J. “Microservices”. 2014. [Online]. http://martinfowler.com/articles/microservices.html.

5. Andrade B., Santos S. and Silva A.R. From Monolith to Microservices: Static and Dynamic Analysis Comparison. 2022. https://10.48550/arXiv.2204.11844 Corpus ID: 248392322.

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