Publications

Bikakis, Nikos; Giannopoulos, Giorgos; Sidiropoulos, Nikos; Flouda, Christina; Doupas, Athanasios; Giouli, Voula; Karioris, Panagiotis; Botini, Paraskevi; Vacalopoulou, Anna; Stainhaouer, Gregory

Exposing geospatial cultural heritage content in map-based applications Proceedings Article

In: Fletcher, George; Kantere, Verena (Ed.): 6th International Workshop on Big Data Visual Exploration and Analytics (BigVis), 2023.

Abstract | Links | BibTeX

Bigeard, Sam; Schulder, Marc; Kopf, Maria; Hanke, Thomas; Vasilaki, Kiriaki; Vacalopoulou, Anna; Goulas, Theodoros; Athanasia–Lida, Dimou; Fotinea, Stavroula-Evita; Efthimiou, Eleni; Fox, Neil; Crasborn, Onno; Westenberg, Lianne; Ebling, Sarah; Wawrinka, Laure

Interlingual Index for the Easier project's core sign languages Technical Report

2023.

Abstract | Links | BibTeX

@techreport{nokey,

title = {Interlingual Index for the Easier project's core sign languages},

author = {Sam Bigeard and Marc Schulder and Maria Kopf and Thomas Hanke and Kiriaki Vasilaki and Anna Vacalopoulou and Theodoros Goulas and Dimou Athanasia–Lida and Stavroula-Evita Fotinea and Eleni Efthimiou and Neil Fox and Onno Crasborn and Lianne Westenberg and Sarah Ebling and Laure Wawrinka},

url = {https://www.fdr.uni-hamburg.de/record/12676},

doi = {10.25592/UHHFDM.12675},

year  = {2023},

date = {2023-06-30},

urldate = {2023-06-30},

abstract = {The purpose of the inter-lingual index is to link the lexical resources from the different languages of the project and make them machine-readable. The earlier deliverable D6.3 was the first<br> version of this index. It included German Sign Language (DGS) and Greek Sign Language<br> (GSL). This deliverable is the second version of the index. It covers further core sign languages of the project: British Sign Language (BSL), Sign Language of the Netherlands (NGT), French Sign Language (LSF) and Swiss-German Sign Language (DSGS). The next version will be deliverable 6.5 and will include languages beyond the project’s core languages. The deliverable is the index itself. This report provides background information on wordnet<br> research, explains our method and choices, and presents the resulting dataset. Our interlingual index uses the wordnet concept of synonym sets (synsets), which define concepts by gathering signs and words that can represent the same meaning. This approach is more resistant to translation mistakes stemming from translation pairs being only valid for certain word/sign meanings. It also provides a new way to define sign types that does not rely on<br> approximate translations to a single spoken language word, the way glosses do. As a basis for our index, we build on the synset inventory of Open Multilingual Wordnet (OMW). We use a three-step method: The first step is automatically matching candidate synsets to signs using the keywords and glosses associated with the sign. The second step is automatically<br> validating links that are most likely to be correct. The final step is manual validation of the<br> remaining links, prioritising the most useful signs. This work has resulted in a dataset of 7929 signs in 6 sign languages linked to 11806 synsets. Additionally, a web interface has been launched to make the index accessible for the general public.},

keywords = {},

pubstate = {published},

tppubtype = {techreport}

}

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Vacalopoulou, Anna; Mastrogianni, Anna; Michalopoulos, Charilaos; Tsiafaki, Despoina; Michailidou, Natasa; Mourthos, Ioannis; Botini, Paraskevi; Stainhaouer, Gregory

Mythological itineraries along the Western Silk Road: Finding myths in visits to Eastern Macedonia and Thrace today Book Chapter

In: S. Kostopoulou, Herrera-Franco (Ed.): Chapter 12, pp. 139–153, Springer, Cham, 2023, ISBN: 978-3-031-31026-3.

Abstract | Links | BibTeX

@inbook{Vacalopoulou2023,

title = {Mythological itineraries along the Western Silk Road: Finding myths in visits to Eastern Macedonia and Thrace today},

author = {Anna Vacalopoulou and Anna Mastrogianni and Charilaos Michalopoulos and Despoina Tsiafaki and Natasa Michailidou and Ioannis Mourthos and Paraskevi Botini and Gregory Stainhaouer},

editor = {Kostopoulou, S., Herrera-Franco, G., Wood, J., Al-Kodmany, K.},

url = {https://link.springer.com/chapter/10.1007/978-3-031-31027-0_12},

doi = {https://doi.org/10.1007/978-3-031-31027-0_12},

isbn = {978-3-031-31026-3},

year  = {2023},

date = {2023-09-28},

urldate = {2023-09-28},

pages = {139–153},

publisher = {Springer, Cham},

chapter = {12},

series = {Advances in Science, Technology & Innovation},

abstract = {This paper presents work within the framework of the R&D project “Mythological Routes in Eastern Macedonia and Thrace”, which showcases the cultural wealth of the region of Eastern Macedonia and Thrace as the basis for the development of the tourism industry. The starting point of the project is the systematic recording, mapping, and promotion of ancient myths that are, in some way, related to this region. The area is of key commercial value, as it forms the north-eastern part of Greece, bordering two countries: Bulgaria and Turkey. In addition, it has always been an important part of the Western Silk Road map, with major centres such as Soufli, and Alexandroupolis. Apart from its geopolitical and economic significance, the area has substantial historical and cultural value, as it has been inhabited continuously since the Prehistoric era. It also boasts a variety of diverse landscapes and ecosystems as well as a rare long-lasting mosaic of different cultures. This project marks the first dedicated collection of myths and mythological references concentrating exclusively on this geographical region. At another level, the project allows the creation of personalized itineraries in the area for the support of the full tourist experience through a website and a mobile application (https://mythotopia.eu/). Starting from the promotion of the mythological identity of the region, its past and present are connected to enhance its tourist and cultural elements. Visitors of the region will enjoy the possibility of designing their own itineraries based on a variety of personal criteria, be them mythological, archaeological, cultural, natural, gastronomic, recreational, etc. In addition, the project has developed a specially designed educational application for the pedagogical utilization of the research outcomes in secondary and higher education.},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

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Arampatzakis, Vasileios; Stamou, Vivian; Pavlidis, George; Markantonatou, Stella

On treebank development for under-resourced languages with active annotation Miscellaneous

2023.

Abstract | Links | BibTeX

@misc{arampatzakis_treebank_2023,

title = {On treebank development for under-resourced languages with active annotation},

author = {Vasileios Arampatzakis and Vivian Stamou and George Pavlidis and Stella Markantonatou},

url = {https://zenodo.org/record/8314970},

doi = {10.5281/zenodo.8314970},

year = {2023},

date = {2023-05-01},

urldate = {2023-10-10},

abstract = {About half of the living languages and dialects, including the Greek ones, are endangered, and language loss occurs at an accelerated rate because of globalization and neocolonialism. In addition, only few languages are endowed with the resources ensuring their survival in the AI era. Saving and revitalizing the linguistic heritage of humanity has become important for maintaining global cultural diversity. Natural language processing (NLP) for endangered and under-resourced languages can be beneficial for their preservation and documentation; the latter is a challenge as endangered languages typically lack written resources. Language technologies enable the development of digital archives and linguistic resources by automating technical processes and allowing language documentation practitioners to focus on the linguistic aspects. Furthermore, NLP can provide insights into the unique linguistic features of endangered languages, aiding in their preservation and documentation. In line with these concepts and facts, the project Philotis has developed a workflow and platform to support the multimodal documentation of living languages. Advanced NLP technology is utilized to develop spoken and textual corpora (up to the level of a treebank) from raw documentation materials with a workflow that automates NLP processes and allows language documentation practitioners to focus on linguistic aspects. The Philotis workflow accommodates several documentation scenarios, and was tested on Pomak, an endangered oral Slavic language of the Balkans. Several state-of-the-art NLP tools that can be integrated into different NLP pipelines suitable for under-resourced languages were evaluated under this framework. Developing treebanks for languages is a difficult and extremely time-consuming process. Active learning approaches have been proposed to automate part of the process and reduce the total annotation duration and cost. Crucially, under-resourced languages typically provide (severely) limited amounts of data and few, if any, experts for data development and annotation. A practical active annotation strategy for such a case could be implemented in the form of an online learning approach. This approach uses randomly selected sentences for a loop including annotation prediction, manual correction, and model retraining. To implement this approach in a realistic scenario, we used 300 annotated sentences from the Pomak corpus published by Philotis on the Universal Dependencies repository. By utilizing a simple weighted summation of four potential annotation errors (lemmas, part of speech, dependency pair, and dependency label), we run several experiments of online annotation, which revealed an underlying optimal strategy. This strategy resulted in a significant decrease in the total annotation duration by 54% and a corresponding decrease in the total cost by 63% compared to manual annotation.},

keywords = {},

pubstate = {published},

tppubtype = {misc}

}

Close

About half of the living languages and dialects, including the Greek ones, are endangered, and language loss occurs at an accelerated rate because of globalization and neocolonialism. In addition, only few languages are endowed with the resources ensuring their survival in the AI era. Saving and revitalizing the linguistic heritage of humanity has become important for maintaining global cultural diversity. Natural language processing (NLP) for endangered and under-resourced languages can be beneficial for their preservation and documentation; the latter is a challenge as endangered languages typically lack written resources. Language technologies enable the development of digital archives and linguistic resources by automating technical processes and allowing language documentation practitioners to focus on the linguistic aspects. Furthermore, NLP can provide insights into the unique linguistic features of endangered languages, aiding in their preservation and documentation. In line with these concepts and facts, the project Philotis has developed a workflow and platform to support the multimodal documentation of living languages. Advanced NLP technology is utilized to develop spoken and textual corpora (up to the level of a treebank) from raw documentation materials with a workflow that automates NLP processes and allows language documentation practitioners to focus on linguistic aspects. The Philotis workflow accommodates several documentation scenarios, and was tested on Pomak, an endangered oral Slavic language of the Balkans. Several state-of-the-art NLP tools that can be integrated into different NLP pipelines suitable for under-resourced languages were evaluated under this framework. Developing treebanks for languages is a difficult and extremely time-consuming process. Active learning approaches have been proposed to automate part of the process and reduce the total annotation duration and cost. Crucially, under-resourced languages typically provide (severely) limited amounts of data and few, if any, experts for data development and annotation. A practical active annotation strategy for such a case could be implemented in the form of an online learning approach. This approach uses randomly selected sentences for a loop including annotation prediction, manual correction, and model retraining. To implement this approach in a realistic scenario, we used 300 annotated sentences from the Pomak corpus published by Philotis on the Universal Dependencies repository. By utilizing a simple weighted summation of four potential annotation errors (lemmas, part of speech, dependency pair, and dependency label), we run several experiments of online annotation, which revealed an underlying optimal strategy. This strategy resulted in a significant decrease in the total annotation duration by 54% and a corresponding decrease in the total cost by 63% compared to manual annotation.

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Tsiafaki, Despoina; Michailidou, Natasa; Boile, Maria; Τόλη, Ε.; Μοντζέλλι, Σ. Β.; Αργυρός, Λ.

Pros-Eleusis: η μεταμόρφωση της Ελευσίνας σε Οικομουσείο Proceedings

Πολυτεχνική Σχολή Α.Π.Θ., Θεσσαλονίκη, 2023.

Links | BibTeX

Anastasaki, Ioanna; Drosatos, George; Pavlidis, George; Rantos, Konstantinos

User Authentication Mechanisms Based on Immersive Technologies: A Systematic Review Journal Article

In: Information, vol. 14, no. 10, pp. 538, 2023.

Abstract | Links | BibTeX

Παπαδοπούλου, Β.; Βάσιος, Α.; Παπαστράτου, Λ.; Tsiafaki, Despoina; Michailidou, Natasa; Karta, Meliana; M., Koukouli; Κοκογιαννάκη, Α.; Ιατροπούλου, Κ.; Servi, Katerina; Γκούσκος, Σ.; Καλαμπόκης, Κ.; Γόγολος, Γ.

«VOESKA»: Μία σύγχρονη ψηφιακή προσέγγιση στην τεκμηρίωση και ανάδειξη του πολιτιστικού αποθέματος στην Άρτα Conference

Το Αρχαιολογικό Έργο στη ΒΔ Ελλάδα και τα Ιόνια Νησιά, 3, Πανεπιστήμιο Ιωαννίνων, 2022.