Smart museum of everyday life history in Petrozavodsk State University: Software design and implementation of the semantic layer

Abstract

Since 2016 a smart museum of everyday life history has been developed within the History Museum of Petrozavodsk State University. This R&D project aims at solutions to the two important problems for creating a digital service-oriented environment for museum visitors and personnel: 1) offering personal recommendations on the museum collection with the use of semantic ranking methods and in context of the user and exhibition, 2) collaborative addition of information sources and their semantic annotation within the museum collection. Such solutions form the semantic layer of smart museum environment. This paper introduces our a) system design models for agent- based programming of museum information services, b) ranking models for semantic data mining in historical and cultural heritage domain. Our software implementation demonstrates the feasibility of the proposed models in respect to the user mobility, service personalization, and collaborative work opportunity.

Keywords

• smart spaces
• Internet of Things (IoT)
• smart museum environment
• semantic layer
• semantic ranking
• semantic annotation