@inbook {796,
	title = {Handbook of Research on Developing a Post-Pandemic Paradigm for Virtual Technologies in Higher Education},
	year = {2021},
	publisher = {IGI Global},
	organization = {IGI Global},
	chapter = {Social Skills and Online Learning},
	abstract = {<p>The concept of online teaching and learning is widely adopted by universities due to the pandemic of COVID-19, which forced them to shift from blending learning (including both direct and remote education) to exclusive online education. Technology has provided a multitude of tools which can prove very useful in the hands of people who want to serve such a great purpose as education. During the days of the pandemic, where people are isolated, virtual community and virtual learning technology brings people together to experience a sense of educational community in the virtual world. This chapter introduces the reader to the importance for social skill training of the learning communities during times that online learning is the sole type of education, exploring methodologies, tools and practices that can be used to counterbalance the deficiencies introduced by distance learning methods regarding social skill development.</p>
},
	keywords = {Active learning, Community of Inquiry, COVID-19, Digital Collaboration Platforms, Higher Education, Pandemic, Problem-Based Learning, Remote Learning, Social skills, Virtual Learning Community},
	author = {Kriemadis, Athanasios and Kapnisi, Dimitra and Vassilakis, Costas and Spiliotopoulos Dimitris}
}
@article {749,
	title = {Human behaviour in multimodal interaction: main effects of civic action and interpersonal and problem-solving skills},
	journal = {Journal of Ambient Intelligence and Humanized Computing},
	volume = {TBD},
	year = {2020},
	month = {mar},
	pages = {TBD},
	abstract = {Metacognitive skill training may rest within any kind of social interaction that requires awareness of what an individual and others think, in social, educational and organizational settings alike. This work explores an extensive study of multimodal application interaction (virtual agent, spoken dialogue, visual communication of progress) for metacognitive skill training via negotiation skill training settings. Human behaviour, as effected by civic action and interpersonal and problem-solving skill training, is investigated through interaction sessions with a virtual agent on multimodal multiparty negotiation. This work reports on the results of the user-system evaluation sessions involving 41 participants before-and-after interaction with the system, integrating macro- (dialogue system performance) and micro- (metacognitive-related and individual-and-community level-related attitudes and skills) factors. Findings indicate significant and positive relationships between user and system evaluation questions after interaction with the dialogue system and between self-efficacy, self-regulation, individual readiness to change, mastery goal orientation, interpersonal and problem-solving skills and civic action before-and-after the interaction experience. Implications, limitations and further research issues are discussed in light of context of the multimodal interaction and its effects on the human behaviour during metacognitive skill training.},
	keywords = {Human Behaviour, Individual- and Community-Level Related Attitudes and Skills, Metacognitive, Multimodal Interaction, Skill Training},
	doi = {10.1007/s12652-020-01846-x},
	author = {Markri, Eleni and Spiliotopoulos, Dimitris and Vassilakis, Costas and Margaris, Dionisis}
}
@article {772,
	title = {Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain},
	journal = {Big Data and Cognitive Computing},
	volume = {4},
	year = {2020},
	pages = {7},
	abstract = {Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture. New data sources, such as social media, digitized cultural content, and Internet of Things (IoT) devices, have allowed us to enrich and customize the cultural experience, but at the same time have created an avalanche of new data that needs to be stored and appropriately managed in order to be of value. Although data management plays a central role in driving forward the cultural heritage domain, the solutions applied so far are fragmented, physically distributed, require specialized IT knowledge to deploy, and entail significant IT experience to operate even for trivial tasks. In this work, we present Hydria, an online data lake that allows users without any IT background to harvest, store, organize, analyze and share heterogeneous, multi-faceted cultural heritage data. Hydria provides a zero-administration, zero-cost, integrated framework that enables researchers, museum curators and other stakeholders within the cultural heritage domain to easily (i) deploy data acquisition services (like social media scrapers, focused web crawlers, dataset imports, questionnaire forms), (ii) design and manage versatile customizable data stores, (iii) share whole datasets or horizontal/vertical data shards with other stakeholders, (iv) search, filter and analyze data via an expressive yet simple-to-use graphical query engine and visualization tools, and (v) perform user management and access control operations on the stored data. To the best of our knowledge, this is the first solution in the literature that focuses on collecting, managing, analyzing, and sharing diverse, multi-faceted data in the cultural heritage domain and targets users without an IT background.},
	keywords = {analytics and visualization, big data management, Cultural heritage, data lake, data store, open source},
	doi = {10.3390/bdcc4020007},
	url = {https://www.mdpi.com/2504-2289/4/2/7},
	author = {Kimon Deligiannis and Paraskevi Raftopoulou and Christos Tryfonopoulos and Nikos Platis and Costas Vassilakis}
}
@article {722,
	title = {Handling uncertainty in social media textual information for improving venue recommendation formulation quality in social networks},
	journal = {Social Network Analysis and Mining},
	volume = {9},
	year = {2019},
	month = {Oct},
	pages = {64},
	abstract = {One of the major problems that social media front is to continuously produce successful, user-targeted information, in the form of recommendations, which are produced by applying methods from the area of recommender systems. One of the most important applications of recommender systems in social networks is venue recommendation, targeted by the majority of the leading social networks (Facebook, TripAdvisor, OpenTable, etc.). However, recommender systems{\textquoteright} algorithms rely only on the existence of numeric ratings which are typically entered by users, and in the context of social networks, this information is scarce, since many social networks allow only reviews, rather than explicit ratings. Even if explicit ratings are supported, users may still resort to expressing their views and rating their experiences through submitting posts, which is the predominant user practice in social networks, rather than entering explicit ratings. User posts contain textual information, which can be exploited to compute derived ratings, and these derived ratings can be used in the recommendation process in the lack of explicitly entered ratings. Emerging recommender systems encompass this approach, without however tackling the fact that the ratings computed on the basis of textual information may be inaccurate, due to the very nature of the computation process. In this paper, we present an approach which extracts features of the textual information, a widely available source of information in venue category, to compute a confidence metric for the ratings that are computed from texts; then, this confidence metric is used in the user similarity computation and venue rating prediction formulation process, along with the computed rating. Furthermore, we propose a venue recommendation method that considers the generated venue rating predictions, along with venue QoS, similarity and spatial distance metrics in order to generate venue recommendations for social network users. Finally, we validate the accuracy of the rating prediction method and the user satisfaction from the recommendations generated by the recommendation formulation algorithm. Conclusively, the introduction of the confidence level significantly improves rating prediction accuracy, leverages the ability to generate personalized recommendations for users and increases user satisfaction.},
	keywords = {collaborative filtering, Confidence level, Rating prediction, Recommender Systems, Social Networks, Textual information, Uncertainty, Venue recommendation formulation},
	issn = {1869-5469},
	doi = {10.1007/s13278-019-0610-x},
	url = {https://doi.org/10.1007/s13278-019-0610-x},
	author = {Margaris, Dionisis and Vassilakis, Costas and Spiliotopoulos, Dimitris}
}
@conference {angelantEuromed18,
	title = {The Human Computer Interaction and Virtual Reality Lab (University of Peloponnese): overview and current challenges},
	booktitle = {Proceedings of the {\textquotedblleft}Cultural informatics research and applications: State of the art and open challenges{\textquotedblright} workshop, within the Euromed 2018 Conference},
	year = {2018},
	month = {oct},
	abstract = {The Human-Computer Interaction and Virtual Reality Lab, at the Department of Informatics and Telecommunications of the University of Peloponnese, aims to conduct high quality research in areas related to the analysis, design, develop-ment, and evaluation of HCI and VR systems and applications, and in parallel to support the teaching requirements of the department in the respective field. Over the last years the HCI-VR lab particularly focuses on Cultural Heritage and de-velops technologies primarily for spaces of cultural heritage that cover the diverse needs of heterogeneous audiences providing holistic visitor experience. The HCI-VR lab is actively participating in National and European projects on Cultural Heritage, such as FP7 Experimedia (https://hci-vr.dit.uop.gr/experimedia), H2020 CrossCult (www.crosscult.eu) and multiple projects from the National Strategic Reference Framework.},
	url = {http://ceur-ws.org/Vol-2235/paper10.pdf},
	author = {Angela Antoniou and Costas Vassilakis and Anastasios Theodoropoulos and Giorgos Lepouras}
}
@conference {margaris2015a,
	title = {A Hybrid Framework for WS-BPEL Scenario Execution Adaptation, Using Monitoring and Feedback Data},
	booktitle = {Proceedings of the 30th ACM/SIGAPP Symposium On Applied Computing, SOAP track},
	year = {2015},
	month = {4},
	publisher = {ACM},
	organization = {ACM},
	abstract = {In this paper, we present a framework which provides runtime adaptation for BPEL scenarios. The adaptation is based on (a) quality of service parameters of available web services (b) quality of service policies specified by users (c) collaborative filtering techniques, allowing clients to further refine the adaptation process by considering service selections made by other clients, (d) monitoring, in order to follow the variations of QoS attribute values and (e) on users{\textquoteright} opinions services they have used.},
	doi = {10.1145/2695664.2695687},
	url = {https://dl.acm.org/citation.cfm?doid=2695664.2695687},
	author = {Dionisis Margaris and Costas Vassilakis and P. Georgiadis}
}
@article {torou2010,
	title = {Historical research in archives: user methodology and supporting tools},
	journal = {International Journal on Digital Libraries},
	volume = {11(1)},
	year = {2010},
	pages = {25{\textendash}36},
	abstract = {Historic research involves finding, using, and correlating informationwithin primary and secondary sources, in order to communicate an understanding of past events. In this process, historians employ their scientific knowledge, experience, and intuition to formulate queries (who was involved in an event, when did an event occur etc.), and subsequently try to locate the pertinent information from their sources. In this article, the authors investigate how historians formulate queries, which query terms are chosen, and how historians proceed in searching for related information in sources. The insight gained from this investigation can be subsequently used for organizing documentswithin historical source repositories and building tools that will enable historians to access the needed informationmore rapidly and fully.},
	doi = {10.1007/s00799-010-0062-4},
	author = {Elena Torou and Akrivi Katifori and Costas Vassilakis and Giorgos Lepouras and C. Halatsis}
}
@article {Vassilakis2009325,
	title = {A heuristics-based approach to reverse engineering of electronic services},
	journal = {Information and Software Technology},
	volume = {51},
	number = {2},
	year = {2009},
	note = {cited By (since 1996) 1},
	pages = {325-336},
	abstract = {Since the beginning of the electronic era, public administrations and enterprises have been developing services, through which citizens, businesses and customers can conduct their transactions with the offering entity. Each electronic service contains a substantial amount of knowledge in the form help texts, rules of use or legislation excerpts, examples, validation checks, etc. This knowledge has been extracted from domain experts when the services were developed, especially in the phases of analysis and design, and was subsequently translated into software. In the latter format though, knowledge cannot be readily used in organizational processes, such as knowledge sharing and development of new services. In this paper, we present an approach for reverse engineering electronic services in order to create knowledge items of high levels of abstraction, which can be used in knowledge sharing environments as well as in service development platforms. The proposed approach has been implemented and configured to generate artifacts for the SmartGov service development platform. Finally, an evaluation of the proposed approach is presented to assess its efficiency regarding various aspects of the reverse engineering process. Β{\textcopyright} 2008 Elsevier B.V. All rights reserved.},
	keywords = {Analysis and designs, Domain experts, e-government, electronic services, Government data processing, Help texts, In services, Knowledge engineering, Knowledge sharing, Levels of abstractions, Management, New services, Organizational knowledge, Organizational processes, Public administrations, Reengineering, Reverse engineering, Reverse engineering processes, Service developments, Validation checks},
	doi = {10.1016/j.infsof.2008.04.003},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56949100815\&partnerID=40\&md5=223ff82eddd9005b8e6f7fac1aa9c810},
	author = {Costas Vassilakis and Giorgos Lepouras and Akrivi Katifori}
}
@conference {KatiforiVTLHD07,
	title = {Historical Archive Ontologies Requirements, Modeling and Visualization},
	booktitle = {RCIS},
	year = {2007},
	month = {4},
	pages = {401-406},
	abstract = {Most ontology development methodologies and tools for ontology management deal with ontology snapshots, i.e. they model and manage only the most recent version of ontologies, which is inadequate for contexts where the history of the ontology is of interest, such as historical archives. This work presents a set of requirements for the modeling and visualization of a temporal ontology used as a tool for the representation of historical information. In accordance to these requirements, a visualization plug-in was designed and implemented, featuring a set of tools that enable users to efficiently examine ontology temporal characteristics such as class and instance evolution along the timeline.},
	author = {Akrivi Katifori and Costas Vassilakis and Elena Torou and Giorgos Lepouras and C. Halatsis and I. Daradimos}
}
