@article{Angelis2024,

title = {CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs},

author = {Sotiris Angelis and Efthymia Moraitou and George Caridakis and Konstantinos Kotis},

doi = {10.1007/s10115-024-02110-w},

issn = {0219-3116},

year  = {2024},

date = {2024-08-00},

journal = {Knowl Inf Syst},

volume = {66},

number = {8},

pages = {4899--4925},

publisher = {Springer Science and Business Media LLC},

abstract = {AbstractOntologies constitute the semantic model of Knowledge Graphs (KGs). This structural association indicates the potential existence of methodological analogies in the development of ontologies and KGs. The deployment of fully and well-defined methodologies for KG development based on existing ontology engineering methodologies (OEMs) has been suggested and efficiently applied. However, most of the modern/recent OEMs may not include tasks that (i) empower knowledge workers and domain experts to closely collaborate with ontology engineers and KG specialists for the development and maintenance of KGs, (ii) satisfy special requirements of KG development, such as (a) ensuring modularity and agility of KGs, (b) assessing and mitigating bias at schema and data levels. Toward this aim, the paper presents a methodology for the Collaborative and Hybrid Engineering of Knowledge Graphs (CHEKG), which constitutes a hybrid (schema-centric/top-down and data-driven/bottom-up), collaborative, agile, and iterative approach for developing modular and fair domain-specific KGs. CHEKG contributes to all phases of the KG engineering lifecycle: from the specification of a KG to its exploitation, evaluation, and refinement. The CHEKG methodology is based on the main phases of the extended Human-Centered Collaborative Ontology Engineering Methodology (ext-HCOME), while it adjusts and expands the individual processes and tasks of each phase according to the specialized requirements of KG development. Apart from the presentation of the methodology per se, the paper presents recent work regarding the deployment and evaluation of the CHEKG methodology for the engineering of semantic trajectories as KGs generated from unmanned aerial vehicles (UAVs) data during real cultural heritage documentation scenarios.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ziku2024,

title = {Evaluating Crowdsourcing Applications with Map-Based Storytelling Capabilities in Cultural Heritage},

author = {Mariana Ziku and Konstantinos Kotis and Gerasimos Pavlogeorgatos and Evangelia Kavakli and Chara Zeeri and George Caridakis},

doi = {10.3390/heritage7070162},

issn = {2571-9408},

year  = {2024},

date = {2024-07-00},

journal = {Heritage},

volume = {7},

number = {7},

pages = {3429--3454},

publisher = {MDPI AG},

abstract = {Crowdsourcing applications that integrate storytelling and geotagging capabilities offer new avenues for engaging the public in cultural heritage. However, standardised evaluation frameworks are lacking. This paper presents an applied evaluation methodology involving the analysis of relevant web-based tools. Towards this goal, this paper presents the development of crowdsourcing applications using, as a case study, the collection of myths and legends associated with the monumental heritage site of the Palace of the Grand Master of the Knights of Rhodes in Greece. Additionally, the paper presents an evaluation conducted through a criteria-based approach and user-based survey. The study reviews the concepts of crowdsourcing and digital storytelling within digital heritage, along with current concepts of living heritage and folklore, and examines relevant initiatives. The evaluation follows a four-stage methodology: (i) initial web-based tool selection based on the minimum requirements of web compatibility, crowdsourced data display, and map-based storytelling capability; (ii) application development using the selected web-based tools; (iii) a five-criteria assessment, based on the factors of open access, usability/tool support, participatory content/story creation, metrics provision and metadata model usage; and (iv) a crowd-based survey, indicating the most effective option. Findings from 100 respondents reveal limited exposure to participatory storytelling applications but interest in contributing content. Social media and influential figures serve as key channels for promoting crowdsourcing open calls. The results highlight gaps in understanding user expectations and perceptions, suggesting future research for gaining insights into engagement rates.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1145/3653977,

title = {An Ontology-Based Framework for Supporting Decision-Making in Conservation and Restoration Interventions for Cultural Heritage},

author = {Efthymia Moraitou and Yannis Christodoulou and Konstantinos Kotis and George Caridakis},

url = {https://doi.org/10.1145/3653977},

doi = {10.1145/3653977},

issn = {1556-4673},

year  = {2024},

date = {2024-05-01},

journal = {J. Comput. Cult. Herit.},

volume = {17},

number = {3},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

abstract = {Decision-making (DM) is the backbone of the Conservation and Restoration (CnR) of Cultural Heritage (CH). The demands of the DM process for information organization and management have raised issues that the CnR community attempts to solve by creating DM-support tools and systems, which, among others, exploit Semantic Web (SW) technologies. Regarding the tools and systems that focus on the DM process of selecting an intervention option (CnR-DM-I), they present benefits, as well as limitations, regarding the (1) completeness of representation of the relevant knowledge in a unified manner, (2) facilitation of recording the CnR-DM-I process per se, in terms of the problem at hand as well as the intervention parameters, requirements, and criteria, and (3) recommendation and further exploration of CnR intervention options in a systematic manner. This work proposes an ontology-based framework as a means to overcome those limitations. The proposed framework (DS-CnRI) sets at its core a formal ontology which provides the necessary entities to represent expert knowledge related to CnR-DM-I. The ontology also includes rules which provide useful inferences to assist the CnR-DM-I process. The proposed framework has been deployed and evaluated in collaboration with conservators. Initial evaluation results show that the framework assists conservators in CnR-DM-I to detect and select the most suitable intervention options, to better understand the limitations of different options, and to document the process of reaching their decision.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Konstantakis2024,

title = {An Improved Approach for Generating Digital Twins of Cultural Spaces through the Integration of Photogrammetry and Laser Scanning Technologies},

author = {Markos Konstantakis and Georgios Trichopoulos and John Aliprantis and Nikitas Gavogiannis and Anna Karagianni and Panos Parthenios and Konstantinos Serraos and George Caridakis},

doi = {10.3390/digital4010011},

issn = {2673-6470},

year  = {2024},

date = {2024-03-00},

journal = {Digital},

volume = {4},

number = {1},

pages = {215--231},

publisher = {MDPI AG},

abstract = {The paper introduces an innovative methodology that combines photogrammetry and laser scanning techniques to create detailed 3D models of historic mansions within the Kifissia region of Attica, Greece. While photogrammetry excels in capturing intricate textures, it faces challenges such as lighting variations and precise image alignment. On the other hand, laser scanning offers precision in capturing geometric details but struggles with reflective surfaces and large datasets. Our study integrates these methods to leverage their strengths and address limitations, resulting in comprehensive and accurate digital twins of cultural spaces. The methodology section outlines the step-by-step process of integration, emphasizing solutions to specific challenges encountered in the study area. Preliminary results showcase the enhanced fidelity and completeness of the digital twins, demonstrating the effectiveness of the combined approach. The subsequent sections of the paper delve into a detailed presentation of the methodology, provide a comprehensive analysis of obtained results, and discuss the implications of this innovative approach in cultural preservation and broader applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Trichopoulos2024,

title = {Smart Glasses for Cultural Heritage: A Survey},

author = {Georgios Trichopoulos and Markos Konstantakis and George Caridakis},

doi = {10.3390/heritage7030078},

issn = {2571-9408},

year  = {2024},

date = {2024-03-00},

journal = {Heritage},

volume = {7},

number = {3},

pages = {1665--1688},

publisher = {MDPI AG},

abstract = {This paper presents a comprehensive survey on the utilization of smart glasses in the context of cultural heritage. It offers a systematic exploration of prevailing trends, the latest state-of-the-art technologies, and notable projects within this emerging field. Through a meticulous examination of diverse works, this study endeavors to categorize and establish a taxonomy, thereby facilitating a structured analysis of the current landscape. By distilling key insights from this categorization, the paper aims to draw meaningful conclusions and provide valuable insights into the potential future trajectory of SGs technology in the realm of CH preservation and appreciation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{article,

title = {Digital Cultural Heritage Management for Local Heritage: Overcoming Barriers to Accessibility with Regional Digital Infrastructures},

author = {Mariana Ziku and Alexandros Teneketzis and Georgios Alexandridis and Yannis Christodoulou and Markos Konstantakis and Athanasios Drosopoulos and Elias Dritsas and Georgios Siolas and Konstantinos Paximadis and Fevronia Rousaki and George Caridakis},

doi = {10.26265/jiim.v9i1.38585},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Integrated Information Management},

volume = {9},

pages = {20-29},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Konstantakis2023,

title = {An Enhanced Methodology for Creating Digital Twins within a Paleontological Museum Using Photogrammetry and Laser Scanning Techniques},

author = {Markos Konstantakis and Georgios Trichopoulos and John Aliprantis and Konstantinos Michalakis and George Caridakis and Athina Thanou and Anastasios Zafeiropoulos and Stamatina Sklavounou and Christos Psarras and Symeon Papavassiliou and Efterpi Koskeridou},

doi = {10.3390/heritage6090314},

issn = {2571-9408},

year  = {2023},

date = {2023-09-00},

journal = {Heritage},

volume = {6},

number = {9},

pages = {5967--5980},

publisher = {MDPI AG},

abstract = {In recent years, researchers in the field of natural heritage have intensified their efforts to develop new ways to enhance the promotion and accessibility of natural content in order to attract more audiences using virtual representations of physical objects (digital twins). Therefore, they are increasingly incorporating new technologies and digital tools in their operations since their usage by the general public and in the natural heritage (NH) museums is considered particularly effective. Simultaneously, the increasing quality of the produced digitizations has opened up new opportunities for the exploitation of the outcomes of digitization beyond the initial anticipations. Responding to the growing demand of museum visitors for a personalized digital tour experience, especially amidst the recent COVID-19 pandemic, the v-PalM project aims to develop a digital platform to offer virtual guidance and education services at the Museum of Paleontology and Geology, which is hosted at the National Kapodistrian University of Athens. The development of the platform will be based on collecting data through various methods, including crowdsourcing, innovative information, and communication technologies, taking advantage of content digitization using 3D scanning devices. This paper demonstrates an enhanced methodology for the digitization of paleontological exhibits. The methodology uses photogrammetry and laser scanning methods from various devices, such as drones, laser scanners, and smartphones. These methods create digital twins that are suitable for various scenarios, including research, education, and entertainment. The proposed methodology has been applied to over fifty paleontological museum exhibits of varying sizes and complexities, and the resulting 3D models exhibit high accuracy in both their material and geometric aspects, while they also feature crucial details that assist researchers and the scientific community.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Trichopoulos2023b,

title = {Crafting a Museum Guide Using ChatGPT4},

author = {Georgios Trichopoulos and Markos Konstantakis and George Caridakis and Akrivi Katifori and Myrto Koukouli},

doi = {10.3390/bdcc7030148},

issn = {2504-2289},

year  = {2023},

date = {2023-09-00},

journal = {BDCC},

volume = {7},

number = {3},

publisher = {MDPI AG},

abstract = {This paper introduces a groundbreaking approach to enriching the museum experience using ChatGPT4, a state-of-the-art language model by OpenAI. By developing a museum guide powered by ChatGPT4, we aimed to address the challenges visitors face in navigating vast collections of artifacts and interpreting their significance. Leveraging the model’s natural-language-understanding and -generation capabilities, our guide offers personalized, informative, and engaging experiences. However, caution must be exercised as the generated information may lack scientific integrity and accuracy. To mitigate this, we propose incorporating human oversight and validation mechanisms. The subsequent sections present our own case study, detailing the design, architecture, and experimental evaluation of the museum guide system, highlighting its practical implementation and insights into the benefits and limitations of employing ChatGPT4 in the cultural heritage context.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Trichopoulos2023c,

title = {Large Language Models as Recommendation Systems in Museums},

author = {Georgios Trichopoulos and Markos Konstantakis and Georgios Alexandridis and George Caridakis},

doi = {10.3390/electronics12183829},

issn = {2079-9292},

year  = {2023},

date = {2023-09-00},

journal = {Electronics},

volume = {12},

number = {18},

publisher = {MDPI AG},

abstract = {This paper proposes the utilization of large language models as recommendation systems for museum visitors. Since the aforementioned models lack the notion of context, they cannot work with temporal information that is often present in recommendations for cultural environments (e.g., special exhibitions or events). In this respect, the current work aims to enhance the capabilities of large language models through a fine-tuning process that incorporates contextual information and user instructions. The resulting models are expected to be capable of providing personalized recommendations that are aligned with user preferences and desires. More specifically, Generative Pre-trained Transformer 4, a knowledge-based large language model is fine-tuned and turned into a context-aware recommendation system, adapting its suggestions based on user input and specific contextual factors such as location, time of visit, and other relevant parameters. The effectiveness of the proposed approach is evaluated through certain user studies, which ensure an improved user experience and engagement within the museum environment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Michalakis2022,

title = {Enhancing user interaction with context-awareness in cultural spaces},

author = {Konstantinos Michalakis and George Caridakis},

doi = {10.1007/s00779-022-01698-6},

issn = {1617-4917},

year  = {2023},

date = {2023-04-00},

journal = {Pers Ubiquit Comput},

volume = {27},

number = {2},

pages = {379--399},

publisher = {Springer Science and Business Media LLC},

abstract = {AbstractThe emergence of the Internet of Things has fueled a proliferation of smart things in many fields, including cultural spaces. Context-awareness addresses the production of large volumes of context by analyzing raw data and adding a meaning to them. Middleware systems have emerged, which perform context modelling and reasoning, supporting context-aware applications. The services provided by such applications can be personalized, automated and adapted to the current situation, thus enhancing the user interaction with the devices and the digital environment. In this work, a context-aware middleware system is presented, based on a hybrid reasoning schema, which combines multiple techniques to efficiently address each problem. The proposed middleware system is evaluated in a cultural space, where scenarios were designed and tested, using a mixture of real and artificial data. The experiments measured the accuracy, performance in terms of reaction time and scalability and the interactivity enhancement, achieved by the proposed middleware.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Trichopoulos2023,

title = {A Survey on Computational and Emergent Digital Storytelling},

author = {Georgios Trichopoulos and Georgios Alexandridis and George Caridakis},

doi = {10.3390/heritage6020068},

issn = {2571-9408},

year  = {2023},

date = {2023-02-00},

journal = {Heritage},

volume = {6},

number = {2},

pages = {1227--1263},

publisher = {MDPI AG},

abstract = {The research field of digital storytelling is cross-disciplinary and extremely wide. In this paper, methods, frameworks, and tools that have been created for authoring and presenting digital narratives, are selected and examined among hundreds of works. The basic criterion for selecting these works has been their ability to create content by computational, emergent methods. By delving into the work of many researchers, the objective is to study current trends in this research field and discuss possible future directions. Most of the relevant tools and methods have been designed with a specific purpose in mind, but their use could be expanded to other areas of interest or could at least be the steppingstone for other ideas. Therefore, the following works show elements of computational and emergent narrative creation and a classification is proposed according to their purpose of existence. Finally, new potential research directions in the field are identified and possible future research steps are discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rs15030821,

title = {A KG-Based Integrated UAV Approach for Engineering Semantic Trajectories in the Cultural Heritage Documentation Domain},

author = {Konstantinos Kotis and Sotiris Angelis and Efthymia Moraitou and Vasilis Kopsachilis and Ermioni-Eirini Papadopoulou and Nikolaos Soulakellis and Michail Vaitis},

url = {https://www.mdpi.com/2072-4292/15/3/821},

doi = {10.3390/rs15030821},

issn = {2072-4292},

year  = {2023},

date = {2023-01-01},

journal = {Remote Sensing},

volume = {15},

number = {3},

abstract = {Data recordings of the movement of vehicles can be enriched with heterogeneous and multimodal data beyond latitude, longitude, and timestamp and enhanced with complementary segmentations, constituting a semantic trajectory. Semantic Web (SW) technologies have been extensively used for the semantic integration of heterogeneous and multimodal movement-related data, and for the effective modeling of semantic trajectories, in several domains. In this paper, we present an integrated solution for the engineering of cultural heritage semantic trajectories generated from unmanned aerial vehicles (UAVs) and represented as knowledge graphs (KGs). Particularly, this work is motivated by, and evaluated based on, the application domain of UAV missions for documenting regions/points of cultural heritage interest. In this context, this research work extends our previous work on UAV semantic trajectories, contributing (a) an updated methodology for the engineering of semantic trajectories as KGs (STaKG), (b) an implemented toolset for the management of KG-based semantic trajectories, (c) a refined ontology for the representation of knowledge related to UAV semantic trajectories and to cultural heritage documentation, and (d) the application and evaluation of the proposed methodology, the developed toolset, and the ontology within the domain of UAV-based cultural heritage documentation. The evaluation of the integrated UAV solution was achieved by exploiting real datasets collected during three UAV missions to document sites of cultural interest in Lesvos, Greece, i.e., the UNESCO-protected petrified forest of Lesvos Petrified Forest/Geopark, the village of Vrissa, and University Hill.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Moraitou2022,

title = {Semantic models and services for conservation and restoration of cultural heritage: A comprehensive survey},

author = {Efthymia Moraitou and Yannis Christodoulou and George Caridakis},

editor = {Mehwish Alam and Victor de Boer and Enrico Daga and Marieke van Erp and Eero Hyvönen and Albert Meroño Peñuela and Harald Sack and Mehwish Alam and Victor de Boer and Enrico Daga and Marieke van Erp and Eero Hyvonen and Albert Meroño-Peñuela},

doi = {10.3233/sw-223105},

issn = {2210-4968},

year  = {2022},

date = {2022-12-15},

journal = {SW},

volume = {14},

number = {2},

pages = {261--291},

publisher = {IOS Press},

abstract = {Over the last decade, the Cultural Heritage (CH) domain has gradually adopted Semantic Web (SW) technologies for organizing information and for tackling interoperability issues. Several semantic models have been proposed which accommodate essential aspects of information management: retrieval, integration, reuse and sharing. In this context, the CH subdomain of Conservation and Restoration (CnR) exhibits an increasing interest in SW technologies, in an attempt to effectively handle the highly heterogeneous and often secluded CnR information. This paper investigates semantic models relevant to the CnR knowledge domain. The scope, development methodology and coverage of CnR aspects are described and discussed. Furthermore, the evaluation, deployment and current exploitation of each model are examined, with focus on the types and variety of services provided to support the CnR professional. Through this study, the following research questions are investigated: To what extent the various aspects of CnR are covered by existing CnR models? To what extent existing CnR models incorporate models of the broader CH domain and of relevant disciplines (e.g., Chemistry)? In what ways and to what extent services built upon the reviewed models facilitate CnR professionals in their various tasks? Finally, based on the findings, fields of interest that merit further investigation are suggested.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Konstantakis2022,

title = {ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification},

author = {Markos Konstantakis and Yannis Christodoulou and John Aliprantis and George Caridakis},

doi = {10.3390/bdcc6040144},

issn = {2504-2289},

year  = {2022},

date = {2022-12-00},

journal = {BDCC},

volume = {6},

number = {4},

publisher = {MDPI AG},

abstract = {In recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visitors according to different visiting profiles could act as a mediator between their visiting preferences and cultural content. Drawing on the above, in this paper, we propose ACUX Recommender (ACUX-R), an MRS, for recommending personalized cultural POIs to visitors based on their visiting preferences. ACUX-R experimentally employs the ACUX typology for assigning profiles to cultural visitors. ACUX-R was evaluated through a user study and a questionnaire. The evaluation conducted showed that the proposed ACUX-R satisfies cultural visitors and is capable of capturing their nonverbal visiting preferences and needs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Konstantakis2022b,

title = {ACUX Typology: A Harmonisation of Cultural-Visitor Typologies for Multi-Profile Classification},

author = {Markos Konstantakis and Yannis Christodoulou and Georgios Alexandridis and Alexandros Teneketzis and George Caridakis},

doi = {10.3390/digital2030020},

issn = {2673-6470},

year  = {2022},

date = {2022-09-00},

journal = {Digital},

volume = {2},

number = {3},

pages = {365--378},

publisher = {MDPI AG},

abstract = {The modern cultural industry and the related academic sectors have shown increased interest in Cultural User eXperience (CUX) research, since it constitutes a critical factor to examine and apply when presenting cultural content. Recent CUX studies show that visitors tend to carry their own cultural characteristics and preferences when visiting destinations of cultural interest, thus obtaining a virtually unique experience. To cope with this tendency, various research efforts have been made to identify different profiles of cultural visitors based on their background and preferences and classify them into distinct visitor types. In this paper, we proposed the ACUX (Augmented Cultural User eXperience) typology for classifying visitors of cultural destinations. The proposed typology aims to provide the multi-profile classification of cultural visitors based on their visiting preferences. Methodology-wise, the ACUX typology was the output of a harmonisation process of existing cultural-visitor typologies that base their classification on visiting preferences. The proposed typology was evaluated in juxtaposition with the harmonised typologies from which it was derived through an experiment conducted using a recommender and a dataset of TripAdvisor user responses. The evaluation showed that the ACUX typology achieved a more accurate profiling of cultural visitors, enabling them to reduce information overload by directly suggesting content that is more likely to meet their diverse preferences and needs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Michalakis2022b,

title = {Context Awareness in Cultural Heritage Applications: A Survey},

author = {Konstantinos Michalakis and George Caridakis},

doi = {10.1145/3480953},

issn = {1556-4711},

year  = {2022},

date = {2022-06-30},

journal = {J. Comput. Cult. Herit.},

volume = {15},

number = {2},

pages = {1--31},

publisher = {Association for Computing Machinery (ACM)},

abstract = {Cultural Heritage Institutions fueled by the advances in Information Technology are exploiting new ways to present their content to visitors. The emergence of the Internet of Things paradigm has shifted their efforts into a more personalized and adaptable experience that takes into consideration the visitor profile and behavior, in respect to presented artifacts and environmental parameters. Context-awareness allows the understanding of the situation and the optimization of the delivered cultural User Experience. In this article, we survey context awareness in cultural heritage applications. After presenting the background of Context Awareness and its features to cultural environments, a subset of research projects that incorporate context aware traits in a cultural scenario is reviewed. Each prototype is analysed in respect to several criteria that include context sensing, middleware, and incorporation methods. Finally, based on the review, lessons learnt, and directions for the development of similar prototypes are highlighted.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ntagiantas2022,

title = {An Augmented Reality Children’s Book Edutainment through Participatory Content Creation and Promotion Based on the Pastoral Life of Psiloritis},

author = {Antonis Ntagiantas and Markos Konstantakis and John Aliprantis and Dimitris Manousos and Lefteris Koumakis and George Caridakis},

doi = {10.3390/app12031339},

issn = {2076-3417},

year  = {2022},

date = {2022-02-00},

journal = {Applied Sciences},

volume = {12},

number = {3},

publisher = {MDPI AG},

abstract = {Augmented reality (AR) provides excellent learning potential, especially in a school environment. Multiple students can share the virtual scene and interact with it using the mobile interface as a hand-held display in AR children’s books. Students’ participation is an essential element of learning, and one of AR’s greatest strengths is its ability to promote collaborative experiences. An augmented reality children’s book edutainment through participatory content creation and promotion based on the pastoral life of Psiloritis has been recommended through this study, highlighting the features of AR to reveal educational values unique to AR and studying approaches for incorporating these characteristics into the typical education curriculum.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Trichopoulos2022,

title = {Tangible and Personalized DS Application Approach in Cultural Heritage: The CHATS Project},

author = {Giorgos Trichopoulos and John Aliprantis and Markos Konstantakis and Konstantinos Michalakis and George Caridakis},

doi = {10.3390/computers11020019},

issn = {2073-431X},

year  = {2022},

date = {2022-02-00},

journal = {Computers},

volume = {11},

number = {2},

publisher = {MDPI AG},

abstract = {Storytelling is widely used to project cultural elements and engage people emotionally. Digital storytelling enhances the process by integrating images, music, narrative, and voice along with traditional storytelling methods. Newer visualization technologies such as Augmented Reality allow more vivid representations and further influence the way museums present their narratives. Cultural institutions aim towards integrating such technologies in order to provide a more engaging experience, which is also tailored to the user by exploiting personalization and context-awareness. This paper presents CHATS, a system for personalized digital storytelling in cultural heritage sites. Storytelling is based on a tangible interface, which adds a gamification aspect and improves interactivity for people with visual impairment. Technologies of AR and Smart Glasses are used to enhance visitors’ experience. To test CHATS, a case study was implemented and evaluated.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Alexandridis2021,

title = {A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis},

author = {Georgios Alexandridis and John Aliprantis and Konstantinos Michalakis and Konstantinos Korovesis and Panagiotis Tsantilas and George Caridakis},

doi = {10.1142/s0129065721500465},

issn = {1793-6462},

year  = {2021},

date = {2021-10-00},

journal = {Int. J. Neur. Syst.},

volume = {31},

number = {10},

publisher = {World Scientific Pub Co Pte Ltd},

abstract = {The task of sentiment analysis tries to predict the affective state of a document by examining its content and metadata through the application of machine learning techniques. Recent advances in the field consider sentiment to be a multi-dimensional quantity that pertains to different interpretations (or aspects), rather than a single one. Based on earlier research, the current work examines the said task in the framework of a larger architecture that crawls documents from various online sources. Subsequently, the collected data are pre-processed, in order to extract useful features that assist the machine learning algorithms in the sentiment analysis task. More specifically, the words that comprise each text are mapped to a neural embedding space and are provided to a hybrid, bi-directional long short-term memory network, coupled with convolutional layers and an attention mechanism that outputs the final textual features. Additionally, a number of document metadata are extracted, including the number of a document’s repetitions in the collected corpus (i.e. number of reposts/retweets), the frequency and type of emoji ideograms and the presence of keywords, either extracted automatically or assigned manually, in the form of hashtags. The novelty of the proposed approach lies in the semantic annotation of the retrieved keywords, since an ontology-based knowledge management system is queried, with the purpose of retrieving the classes the aforementioned keywords belong to. Finally, all features are provided to a fully connected, multi-layered, feed-forward artificial neural network that performs the analysis task. The overall architecture is compared, on a manually collected corpus of documents, with two other state-of-the-art approaches, achieving optimal results in identifying negative sentiment, which is of particular interest to certain parties (like for example, companies) that are interested in measuring their online reputation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Alexandridis2021b,

title = {A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media},

author = {Georgios Alexandridis and Iraklis Varlamis and Konstantinos Korovesis and George Caridakis and Panagiotis Tsantilas},

doi = {10.3390/info12080331},

issn = {2078-2489},

year  = {2021},

date = {2021-08-00},

journal = {Information},

volume = {12},

number = {8},

publisher = {MDPI AG},

abstract = {As the amount of content that is created on social media is constantly increasing, more and more opinions and sentiments are expressed by people in various subjects. In this respect, sentiment analysis and opinion mining techniques can be valuable for the automatic analysis of huge textual corpora (comments, reviews, tweets etc.). Despite the advances in text mining algorithms, deep learning techniques, and text representation models, the results in such tasks are very good for only a few high-density languages (e.g., English) that possess large training corpora and rich linguistic resources; nevertheless, there is still room for improvement for the other lower-density languages as well. In this direction, the current work employs various language models for representing social media texts and text classifiers in the Greek language, for detecting the polarity of opinions expressed on social media. The experimental results on a related dataset collected by the authors of the current work are promising, since various classifiers based on the language models (naive bayesian, random forests, support vector machines, logistic regression, deep feed-forward neural networks) outperform those of word or sentence-based embeddings (word2vec, GloVe), achieving a classification accuracy of more than 80%. Additionally, a new language model for Greek social media has also been trained on the aforementioned dataset, proving that language models based on domain specific corpora can improve the performance of generic language models by a margin of 2%. Finally, the resulting models are made freely available to the research community.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Michalakis2021,

title = {A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces},

author = {Konstantinos Michalakis and Yannis Christodoulou and George Caridakis and Yorghos Voutos and Phivos Mylonas},

doi = {10.3390/app11135770},

issn = {2076-3417},

year  = {2021},

date = {2021-07-00},

journal = {Applied Sciences},

volume = {11},

number = {13},

publisher = {MDPI AG},

abstract = {The proliferation of smart things and the subsequent emergence of the Internet of Things has motivated the deployment of intelligent spaces that provide automated services to users. Context-awareness refers to the ability of the system to be aware of the virtual and physical environment, allowing more efficient personalization. Context modeling and reasoning are two important aspects of context-aware computing, since they enable the representation of contextual data and inference of high-level, meaningful information. Context-awareness middleware systems integrate context modeling and reasoning, providing abstraction and supporting heterogeneous context streams. In this work, such a context-awareness middleware system is presented, which integrates a proposed context model based on the adaptation and combination of the most prominent context categorization schemata. A hybrid reasoning procedure, which combines multiple techniques, is also proposed and integrated. The proposed system was evaluated in a real-case-scenario cultural space, which supports preventive conservation. The evaluation showed that the proposed system efficiently addressed both conceptual aspects, through means of representation and reasoning, and implementation aspects, through means of performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Konstantakis2020,

title = {A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies},

author = {Markos Konstantakis and Georgios Alexandridis and George Caridakis},

doi = {10.3390/bdcc4020012},

issn = {2504-2289},

year  = {2020},

date = {2020-06-00},

journal = {BDCC},

volume = {4},

number = {2},

publisher = {MDPI AG},

abstract = {Recent developments in digital technologies regarding the cultural heritage domain have driven technological trends in comfortable and convenient traveling, by offering interactive and personalized user experiences. The emergence of big data analytics, recommendation systems and personalization techniques have created a smart research field, augmenting cultural heritage visitor’s experience. In this work, a novel, hybrid recommender system for cultural places is proposed, that combines user preference with cultural tourist typologies. Starting with the McKercher typology as a user classification research base, which extracts five categories of heritage tourists out of two variables (cultural centrality and depth of user experience) and using a questionnaire, an enriched cultural tourist typology is developed, where three additional variables governing cultural visitor types are also proposed (frequency of visits, visiting knowledge and duration of the visit). The extracted categories per user are fused in a robust collaborative filtering, matrix factorization-based recommendation algorithm as extra user features. The obtained results on reference data collected from eight cities exhibit an improvement in system performance, thereby indicating the robustness of the presented approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Alexandridis2020b,

title = {A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends},

author = {Georgios Alexandridis and Yorghos Voutos and Phivos Mylonas and George Caridakis},

doi = {10.3390/a13030059},

issn = {1999-4893},

year  = {2020},

date = {2020-03-00},

journal = {Algorithms},

volume = {13},

number = {3},

publisher = {MDPI AG},

abstract = {Short-term property rentals are perhaps one of the most common traits of present day shared economy. Moreover, they are acknowledged as a major driving force behind changes in urban landscapes, ranging from established metropolises to developing townships, as well as a facilitator of geographical mobility. A geolocation ontology is a high level inference tool, typically represented as a labeled graph, for discovering latent patterns from a plethora of unstructured and multimodal data. In this work, a two-step methodological framework is proposed, where the results of various geolocation analyses, important in their own respect, such as ghost hotel discovery, form intermediate building blocks towards an enriched knowledge graph. The outlined methodology is validated upon data crawled from the Airbnb website and more specifically, on keywords extracted from comments made by users of the said platform. A rather solid case-study, based on the aforementioned type of data regarding Athens, Greece, is addressed in detail, studying the different degrees of expansion & prevalence of the phenomenon among the city’s various neighborhoods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Konstantakis2020b,

title = {Adding Culture to UX},

author = {Markos Konstantakis and George Caridakis},

doi = {10.1145/3354002},

issn = {1556-4711},

year  = {2020},

date = {2020-02-25},

journal = {J. Comput. Cult. Herit.},

volume = {13},

number = {1},

pages = {1--17},

publisher = {Association for Computing Machinery (ACM)},

abstract = {For more than a decade, User eXperience (UX) has grown into a core concept of Human--Computer Interaction (HCI) and has been widely disseminated and accepted in the HCI community. At the same time, Cultural Heritage (CH) has been a favored domain for UX research, while the visitor is able to exploit CH material before, during, and after the visit, having different goals and requirements in each phase. Thus, CH organisations need to carefully explore the potential of investing in UX, as visitor satisfaction and intention to return and spread positive word-of-mouth is closely linked to the destination's overall success. A multitude of methods for UX analysis exist, but a clear overview of the current state of the available UX research methods in CH is missing. Recent studies [Othman 2012; Roussou 2018] have successfully developed frameworks to measure UX in cultural spaces, but most of them still lack understanding about how visitors interact with new technologies and simultaneously with the exhibits. In this article, a survey that describes the conceptual frameworks, models, research methodologies, and paradigms of incorporating Cultural User eXperience (CUX) in applications is reported, as well as the overall interaction between UX and CH and the related aspects that are influenced by the CH application domain and the parameters leading to optimization of the CUX. The outcome of this survey lays ground for understanding and defining the concept of UX research in CH, while current challenges and issues for future work are discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Michalakis2020,

title = {Semantic Representation and Internet of Things in Cultural Heritage Preventive Conservation},

author = {Konstantinos Michalakis and Efthymia Moraitou and John Aliprantis and George Caridakis},

doi = {10.12681/cicms.2765},

issn = {2654-1866},

year  = {2020},

date = {2020-01-23},

journal = {CICMS},

volume = {1},

number = {1},

publisher = {National Documentation Centre (EKT)},

abstract = {Preservation of Cultural Heritage (CH) collections in the best possible condition for the longest time possible is a crucial part of CH Institutions activity, since it ensures artefacts’ effective function in perpetuity. In this context, preservation processes that do not include any physical interaction with an object or collection can be regarded as preventive conservation. Preventive conservation measures and activities include among others the monitoring and management of environmental factors, in order to reduce potential risks of collections condition. The advent of the Internet of Things (IoT) can help towards this goal by automating the collection of data through sensors deployed in the cultural space and providing available services based on the IoT ecosystem. IoT technologies can facilitate the preventive conservation of tangible CH by exploiting streaming data produced by networks of sensors that keep track of changes in environmental parameters of a particular museum, in order to monitor the condition of its collections. Moreover, Semantic Web (SW) technologies could increase the efficiency of sensed data management by introducing reasoning mechanisms that will result in useful inferences regarding the combination of long-term or short-term records of sensed data and material decay. This work summarizes current state-of-the-art frameworks and monitoring systems that collect data from sensors in CH environments and the use of semantic web technologies for the efficient management of conservation and sensor data. Based on this study, it proposes an IoT infrastructure with semantic tools, which aims to enhance preventive conservation science.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Aliprantis2019,

title = {A Survey of Augmented Reality Applications in Cultural Heritage},

author = {John Aliprantis and George Caridakis},

doi = {10.4018/ijcmhs.2019070107},

issn = {2473-5337},

year  = {2019},

date = {2019-07-00},

volume = {3},

number = {2},

pages = {118--147},

publisher = {IGI Global},

abstract = {
Augmented reality is now a well-known concept, a technology that integrates digital content to the user's physical world. As more and more applications begin to reshape user's daily lives in multiple domains, cultural heritage sites have begun to focus on capitalizing augmented reality's potential and improve their visitor experience. This work provides an overview of the state-of-the-art techniques, methodologies, and technologies integrated with augmented reality applications for cultural heritage while also categorizing the current works according to the latest techniques as they integrate to enrich the user's experience. The survey presents an overview of the characteristics of an augmented reality system, and discusses the current challenges, issues, limitations, and future directions. Finally, this work examines the methods and techniques that are used in the cultural heritage and augmented reality integration, outlining benefits, and open issues.
},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Alexandridis2019,

title = {Personalized and content adaptive cultural heritage path recommendation: an application to the Gournia and Çatalhöyük archaeological sites},

author = {Georgios Alexandridis and Angeliki Chrysanthi and George E. Tsekouras and George Caridakis},

doi = {10.1007/s11257-019-09227-6},

issn = {1573-1391},

year  = {2019},

date = {2019-03-00},

journal = {User Model User-Adap Inter},

volume = {29},

number = {1},

pages = {201--238},

publisher = {Springer Science and Business Media LLC},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Moraitou2019,

title = {Semantic Bridging of Cultural Heritage Disciplines and Tasks},

author = {Efthymia Moraitou and John Aliprantis and Yannis Christodoulou and Alexandros Teneketzis and George Caridakis},

doi = {10.3390/heritage2010040},

issn = {2571-9408},

year  = {2019},

date = {2019-03-00},

journal = {Heritage},

volume = {2},

number = {1},

pages = {611--630},

publisher = {MDPI AG},

abstract = {The Cultural Heritage (CH) domain encompasses a wide range of different disciplines, serving the study, interpretation, curation, and preservation of objects, collections, archives, sites, and the dissemination of related knowledge. In this context, stakeholders generate, retrieve, and share a vast amount of diverse information. Therefore, information interoperability has been considered a crucial task, especially in terms of semantics. In this way, the CIDOC CRM (International Committee for Documentation Conceptual Reference Model) has been widely used as an underlying model that offers interoperability between CH domain metadata standards and ontologies. To the best of our knowledge, an overall review of mapping, merging, and extending this core ontology, as well as an aggregate table which classifies and correlates those ontologies and standards, has not yet been presented. Our study conducts an aggregate review of relevant published efforts and outlines the various associations between them, encapsulating the CIDOC CRM and its specialized models, as well. This work aims to further clarify the field and scope of the different works, identify their methods, and highlight the semantic overlap, or differences, between them.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Michalakis2018,

title = {Visualizing the Internet of Things: Naturalizing Human-Computer Interaction by Incorporating AR Features},

author = {Konstantinos Michalakis and John Aliprantis and George Caridakis},

doi = {10.1109/mce.2018.2797638},

issn = {2162-2256},

year  = {2018},

date = {2018-05-00},

journal = {IEEE Consumer Electron. Mag.},

volume = {7},

number = {3},

pages = {64--72},

publisher = {Institute of Electrical and Electronics Engineers (IEEE)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}