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Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2019-19-1-118-125
ONTOLOGICAL APPROACH TO MUSEUM MICROCLIMATE CONTROL PROCESS AUTOMATION AND SECURITY
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Article in Russian
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Abstract
For citation:
Khaydarova R.R., Konev A.S., Lapaev M.V., Bondarenko I.B. Ontological approach to museum microclimate control process automation and security. Scientific and Technical Journal of Information Technologies, Mechanics and Optics , 2019, vol. 19, no. 1, pp. 118–125 (in Russian). doi: 10.17586/2226-1494-2019-19-1-118-125
Abstract
The paper presents research in the field of cultural heritage preservation and conservation by means of up-to-date information technologies including semantic approach and sensor networks, in particular. The subject of study is an ontology-based complex automation of museum-specific processes for microclimate parameters control. We present analysis of cultural heritage preservation domain and detect advantages and disadvantages of approaches used nowadays. Existing security vulnerabilities of such class of the systems are presented, threat classification is provided. It is shown that existing security systems and platforms of information systems and knowledge bases, widely used nowadays, cannot not fulfill requirements to security of knowledge bases as a result of many affecting factors and features. The work focuses on both reasons to apply general model-based approach using sensor networks as well as general model-based approach to knowledge security as the only approach able to differentiate facts from inferred knowledge, thus, providing security of the system in general. A set of ontologies is provided for filling the gaps of existing approaches: domain ontology for formalization of museum entities and security ontology for formalization of museum security facilities and for knowledge graph-based inference restrictions depending on access level. Concepts related to network devices and the Internet of things and a new access level are introduced. An innovative Transit Traversal access lever allows for traversing the graph to a final node via other nodes with restricted access. A system based on the provided ontology integrated with Goscatalog enables modernization of climate control and exhibition organization processes as well as ensuring both museum internal security and security of integration with external organizations.
Keywords: semantic technologies, museum ontology, security ontology, up-to-date museums, museum automation, microclimate regulation
References
References
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14. Hoang V.K. Multilevel security for semantic database. Siberian Journal of Science, 2012, no. 5, pp. 93–99. (in Russian)
15. Kagal L., Finin T., Joshi A. A policy based approach to security for the semantic web. Lecture Notes in Computer Science, 2003, vol. 2870, pp. 402–418. doi: 10.1007/978-3-540-39718-2_26
16. Sacco O., Passant A. A Privacy Preference Ontology (PPO) for linked data. Proc. LDOW-2011. Hyderabad, India, 2011.
2. Beckloff. State Russian Museum: Designing of Automatic System for Air Conditioning. 2009. Available at: www.beckhoff.ru/ru/ pdf/press/2009/BA%202009-10.pdf (accessed: 24.04.2018).
3. Seydoux N., Drira K. et al. IoT-O, a core-domain IoT ontology to represent connected devices networks. Lecture Notes in Computer Science, 2016, vol. 10024, pp. 561–576. doi: 10.1007/978-3-319-49004-5_36
4. Bajaj G., Agarwal R., Singh P., Georgantas N., Issarny V. A study of existing Ontologies in the IoT-domain. arXiv preprint, 2017, arXiv:1707.00112
5. Agarwal R., Fernandez D., Elsaleh T. et al. Unified IoT ontology to enable interoperability and federation of testbeds. IEEE 3rd World Forum on Internet of Things. Reston, USA, 2016, pp. 70–75. doi: 10.1109/wf-iot.2016.7845470
6. Kolchin M., Klimov N., Shilin I., Garayzuev D., Andreev A., Mouromtsev D. SEMIOT: an architecture of semantic Internet of Things middleware. Proc. IEEE Int. Conf. on iThings, GreenCom, CPSCom, SmartData. Chengdu, China, 2016, pp. 416–419. doi: 10.1109/ithings-greencom-cpscom-smartdata.2016.98
7. Solov'ev V.D., Dobrov B.V., Ivanov V.V., Lukashevich N.V. Ontologies and Thesauri, Tutorial. Kazan', Russia, KSU Publ., 2006, 197 p. (in Russian)
8. Araujo C. et al. Annotated documents and expanded CIDOC-CRM ontology in the automatic construction of a virtual museum. Studies in Computational Intelligence, 2018, vol. 718, pp. 91–110. doi: 10.1007/978-3-319-58965-7_7
9. Hyvönen E. et al. MuseumFinland – Finnish museums on the Semantic Web. SSRN Electronic Journal, 2005, vol. 3, no. 2-3, pp. 224–241. doi: 10.2139/ssrn.3199250
10. Marchenkov S.A., Vdovenko A.S., Petrina O.B., Korzun D.G. Smart museum of everyday life history in Petrozavodsk State University: software design and implementation of the semantic layer. Proc. 21st Conf. of Open Innovations Association FRUCT. Helsinki, Finland, 2017. doi: 10.23919/fruct.2017.8250186
11. Chianese A., Piccialli F. Designing a smart museum: When cultural heritage joins IoT. Proc. 8th Int. Conf. on Next Generation Mobile Apps, Services and Technologies, NGMAST. Oxford, 2014, pp. 300–306. doi: 10.1109/ngmast.2014.21
12. Chianese A., Piccialli F. SmaCH: an infrastructure for smart cultural heritage environments. International Journal of Ad Hoc and Ubiquitous Computing, 2017, vol. 26, no. 3, pp. 185–204. doi: 10.1504/ijahuc.2017.087023
13. Hoang V.K., Tuzovskiy A.F. Security for semantic database. Siberian Journal of Science, 2012, no. 5, pp. 131–139. (in Russian)
14. Hoang V.K. Multilevel security for semantic database. Siberian Journal of Science, 2012, no. 5, pp. 93–99. (in Russian)
15. Kagal L., Finin T., Joshi A. A policy based approach to security for the semantic web. Lecture Notes in Computer Science, 2003, vol. 2870, pp. 402–418. doi: 10.1007/978-3-540-39718-2_26
16. Sacco O., Passant A. A Privacy Preference Ontology (PPO) for linked data. Proc. LDOW-2011. Hyderabad, India, 2011.