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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.

Technologies of the Internet of Things (IoT) and of smart spaces provide an effective base for creating smart museums based on digitized infrastructures and information systems already deployed in many modern museums. Cultural heritage knowledge in such a museum is used by interested visitors as well as by professionals. This work continues our research on the smart museum concept and its case study of everyday life history in the History Museum of Petrozavodsk State University. We provide an ontological model for the needs of studying the everyday life history. The ontology supports integrating available descriptions of museum exhibits (collected in the existed museum information system) into a semantic network, where the links reflect relations between exhibits and other historical objects. We apply the wiki technology within the smart spaces-based architecture of a smart museum. The wiki implements an ontology-enabled system that experts use to extract semantics from the existed museum information system. We discuss possible semantic algorithms for data mining in the museum semantic network.

Nowadays many museums are being transformed to some “smart” variants: a cultural space in a digitally-equipped environment is formed where cultural heritage knowledge can be easily and collaboratively usable and creatable by interested visitors as well as by professionals. By using such innovative technologies as Internet of Things (IoT) and Smart Spaces it is possible to shorten the distance between museum exhibits and collected historical information on one side and consumers and providers of this information on the other side. In this paper, we study the smart museum concept for development of software that realizes connection between the involved actors and shared cultural heritage knowledge. Our research and development are focused on designing a semantic layer in the form of a software infrastructure. This infrastructure is a middleware on top of which such advanced museum information services can be constructed as personal visit planning, virtual exhibition preparation, and collaborative enrichment the museum collection. We introduce a suit of smart space-based solutions to create this type of software infrastructures. The generic solutions are theoretically analyzed based on the case study of the History Museum of Petrozavodsk State University (PetrSU).

Nowadays the amount of “smart” services in e-Tourism grows rapidly. This is due to widespread using mobile devices with new input methods and large amount of digital data. Together with that, the smart services require complex methods and high cost of their creation. Thereby we have relevant problem of estimating smart service's efficiency. This paper presents evaluation of Cultural trip planning service based on defined smart attributes. For each of used attributes the execution scenario, ordinary service for comparison and used estimates are defined. Each estimate is calculated with taking into account the user experience. The evaluation results allow to compare Cultural trip planning service with some ordinary services.

e-Tourism covers a wide niche of the digital services market. The existing services, although being presented in the large amount in today's Internet, do not achieve high intelligence level. The user still needs to perform a lot of operations manually: to solve a given problem she/he finds and accesses appropriate Internet services or uses mobile applications. A lot of information fragments are linked by the user her/himself, in the mind. In this paper, we discuss the problem of smart service development for the e-Tourism domain. The considered use-case scenario comes from cultural heritage tourism, which is an area of growing application interest We identify smart service attributes that allow a service to achieve a new level of the intelligence. The user becomes more focused on the substantial aspects of solving the problem. We contribute architectural solutions to service design. For the given use-case we show how the service-oriented system can be implemented in the form of a smart space deployed on user-surrounding devices based on the usage of external Internet services and multiple data sources.

Smart museum of everyday life history within the History Museum of Petrozavodsk State University is a smart space-based system implemented using the Smart-M3 platform. This demo presents the smart services for the History Museum of Petrozavodsk State University: Visit service, Exhibition service, and Enrichment service. These smart services realize the semantic layer in the smart museum environment as a multiagent service-oriented information system deployed on the top of museum information systems. Museum personnel and visitors can directly access the multi-agent system and consume services using Personnel client and Visitor client.