10
A. Chatzimichail et al.
annotations deriving from multimodal analysis results of digital content. Regarding
architectural designs in urban spaces, MindSpaces aims to provide solutions for creating functionally and emotionally attractive environments [40]. Furthermore, the
i-Treasures platform, based on multimodal fusion and semantic media interpretation, has created an open and extendable platform which contains a wide range of
captured intangible cultural expressions available in digital form [41]. Finally, the
IoT field includes also wearable devices in which in that scope the WEAR Sustain
network assessed the issues of sustainability and ethics among all creative actors of
the industry into a unified knowledge base [42].
2.1.8 Cultural Heritage
In the Cultural Heritage (CH) domain, the concern and actions about cultural artefacts protection are of great significance, thus semantics are deployed, spanning from
semantic analysis of sounds deriving from sensors [43], preventive conservation with
automatic detection of potential hazards and execution of suggested possible solutions [44], weather, environmental and structural monitoring [45], advanced predictive analytics [46], wireless low-cost non-invasive systems for monitoring parameters
of space [47], merge of different ontologies with advanced reasoning capabilities on
top [48], to a system for automated regulation of microclimate parameters [49].
Intertwined with the CH domain is also the field of tourism. Efforts towards
smart discovery of cultural routes incorporating data from heterogeneous sources
and geospatial semantics have been conducted [50–52]. Another aspect within the
correlation of CH with tourism, is the provided user experience, where attempts to
improve the UX and enhance the visitor’s interaction with cultural objects have been
committed [53, 54], in some cases even by deploying Augmented Reality features
[55]. In that direction, personalization techniques that mine user’s interests into CH
[56] or extraction and identification of personas were investigated [57, 58].
The modeling to predict and describe the dynamics of interaction processes was
within research scope [59, 60]. The necessity of adequate ontological modeling led
to further semantically enriching museum collections [61] and hidden knowledge
extraction and representation [62], even to development of semantically enriched 3D
models [63].
Finally, big data infrastructures to administer cultural items digitally were constructed and tested, tendering a variety of services unto the point of incorporation of
several aforementioned modules [64].
2.1.9 Manufacturing
Industry 4.0, known as the Fourth Industrial Revolution, combines automation and
digitalization in manufacturing technologies. Many of the previous old manual
devices are now supposedly supplanting by new devices and autonomous systems.
The devices (physical or virtual) are continuously getting smarter and Artificial Intel-
A. Chatzimichail et al.
annotations deriving from multimodal analysis results of digital content. Regarding
architectural designs in urban spaces, MindSpaces aims to provide solutions for creating functionally and emotionally attractive environments [40]. Furthermore, the
i-Treasures platform, based on multimodal fusion and semantic media interpretation, has created an open and extendable platform which contains a wide range of
captured intangible cultural expressions available in digital form [41]. Finally, the
IoT field includes also wearable devices in which in that scope the WEAR Sustain
network assessed the issues of sustainability and ethics among all creative actors of
the industry into a unified knowledge base [42].
2.1.8 Cultural Heritage
In the Cultural Heritage (CH) domain, the concern and actions about cultural artefacts protection are of great significance, thus semantics are deployed, spanning from
semantic analysis of sounds deriving from sensors [43], preventive conservation with
automatic detection of potential hazards and execution of suggested possible solutions [44], weather, environmental and structural monitoring [45], advanced predictive analytics [46], wireless low-cost non-invasive systems for monitoring parameters
of space [47], merge of different ontologies with advanced reasoning capabilities on
top [48], to a system for automated regulation of microclimate parameters [49].
Intertwined with the CH domain is also the field of tourism. Efforts towards
smart discovery of cultural routes incorporating data from heterogeneous sources
and geospatial semantics have been conducted [50–52]. Another aspect within the
correlation of CH with tourism, is the provided user experience, where attempts to
improve the UX and enhance the visitor’s interaction with cultural objects have been
committed [53, 54], in some cases even by deploying Augmented Reality features
[55]. In that direction, personalization techniques that mine user’s interests into CH
[56] or extraction and identification of personas were investigated [57, 58].
The modeling to predict and describe the dynamics of interaction processes was
within research scope [59, 60]. The necessity of adequate ontological modeling led
to further semantically enriching museum collections [61] and hidden knowledge
extraction and representation [62], even to development of semantically enriched 3D
models [63].
Finally, big data infrastructures to administer cultural items digitally were constructed and tested, tendering a variety of services unto the point of incorporation of
several aforementioned modules [64].
2.1.9 Manufacturing
Industry 4.0, known as the Fourth Industrial Revolution, combines automation and
digitalization in manufacturing technologies. Many of the previous old manual
devices are now supposedly supplanting by new devices and autonomous systems.
The devices (physical or virtual) are continuously getting smarter and Artificial Intel-