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Museums are now digitally enhanced based on smart information services that assist visitors and personnel. Cultural and historical heritage (CHH) is perceived in a personalized and cognitive way. New knowledge is created using active participation of the users themselves. In this paper, we overview the smart museum concept developed at Petrozavodsk State University (PetrSU). We consider possible information services for effective CHH preservation and transmission within a digitally enhanced museum. The studied services can be further extended to assist in the museum research activity by discovering information for applying human expertise and for reasoning new knowledge. The basic information representation model is a semantic network, which reduces data mining to ranking in a linked structure. As a case study the services for the History Museum of PetrSU are elaborated and discussed.Smart Services as Information Assistance 419 can be considered in terms of various properties; to name some examples: works of fine and applied arts or folk crafts, archaeological, architectural, ethnographic or historical sites and complexes, samples of park art and landscape architecture, industrial, documental or audio-visual heritage, spoken tradition and language or literary values, customs, rituals, celebrations and beliefs, music, songs and dances, culinary and ethnological traditions, folk games and sports.The presented work extends our conference publication (Korzun et al., 2018) on the smart museum concept. We continue our research in the smart museum development. In particular, the semantic-driven design of service-oriented information systems (for various problem domains) was initially proposed in (Korzun, 2014), (Korzun, 2016b) and further extended in (Korzun, 2016a). The semantic infrastructure solutions for making CHH knowledge usable and creatable by museum visitors and professionals were discussed in . Prototype development and its initial experiments were presented in (Marchenkov et al., 2017) We consider smart museum information services that can be developed based on a semantic network interlinking the museum CHH collection, including knowledge acquired from visitors and museum personnel. The semantic network enhances the existing collection operating with digital representations of exhibits, descriptions of CHHvalued objects and facts as well as with any available fragments of CHH knowledge. This network is subject to data mining needed for selection of appropriate information as a result provided by services. Our case study is the History Museum of Petrozavodsk State University (PetrSU) in respect to everyday life history; the museum provides the pilot testbed to analyze the information services.The rest of the paper is organized as follows. Section 2 overviews the recent progress in smart museum development. Section 3 introduces our smart museum concept, which is essentially based on information services. Section 4 describes mathematical methods that our approach applies in services development. Section 5 discu...

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Technologies of the Internet of Things (IoT) and of smart spaces support creating smart museums based on digitized infrastructures and information systems already deployed in modern museums. Cultural heritage knowledge in such a museum is used by interested visitors as well as by personnel. This work continues the authors' research on the smart museum concept and its case study of everyday life history in the History Museum of Petrozavodsk State University (PetrSU). The authors develop an ontological model for the needs of studying the everyday life history. The ontology supports integrating descriptions of collected exhibits into a semantic network, where the links reflect meaningful relations between exhibits and other historical objects. They 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 and represent knowledge hidden in the museum collection. The authors discuss possible semantic algorithms for data mining in the museum semantic network.