{"id":876,"date":"2022-12-29T11:44:29","date_gmt":"2022-12-29T08:44:29","guid":{"rendered":"https:\/\/ics.aegean.gr\/?page_id=876"},"modified":"2026-02-05T16:10:59","modified_gmt":"2026-02-05T13:10:59","slug":"%ce%b4%ce%b7%ce%bc%ce%bf%cf%83%ce%b9%ce%b5%cf%8d%cf%83%ce%b5%ce%b9%cf%82-2","status":"publish","type":"page","link":"https:\/\/ics.aegean.gr\/en\/%ce%b4%ce%b7%ce%bc%ce%bf%cf%83%ce%b9%ce%b5%cf%8d%cf%83%ce%b5%ce%b9%cf%82-2\/","title":{"rendered":"Scientific Papers"},"content":{"rendered":"\t\t
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\u0391\u03c0\u03cc \u039c\u03a6 (\u03c0\u03c1\u03ce\u03c4\u03bf\/\u03b7 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1) \u03c4\u03b7\u03c2 \u0398\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae\u03c2 1<\/strong><\/p>

  1. Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Stelios Krinidis, Dimitrios Tzovaras, Personalized thermal comfort modeling through genetic algorithm, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, DOI: https:\/\/doi.org\/10.1080\/15567036.2021.1937404<\/a><\/li>
  2. Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Konstantinos Kotis, Stelios Krinidis, Dimitrios Tzovaras BEMS in the Era of Internet of Energy: A Review, IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 465-476.<\/li>
  3. Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Stelios Krinidis & Dimitrios Tzovaras Benchmarking of Regression Algorithms for Simulating the Building\u2019s Energy, ,2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), DOI: 10.1109\/CCWC51732.202.9375935<\/li>
  4. Korres, M. Eid, C. Anagnostopoulos Benchmark based selection of point cloud registration algorithms for Cultural Heritage 3D digitization, Proc. of IEEE International Conference on Metrology for Archaeology and Cultural Heritage, Milano, 20-22 October 2021<\/li>
  5. Korres, C. Anagnostopoulos, M. Eid, A proposed framework for affordable CAM replication in Cultural Heritage, Proc. of IEEE International Conference on Metrology for Archaeology and Cultural Heritage, Milano, 20-22 October 2021.<\/li>
  6. Dimara A., Anagnostopoulos CN., Kotis K., Krinidis S., Tzovaras D., BEMS in the Era of Internet of Energy: A Review, n: Maglogiannis I., Macintyre J., Iliadis L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham DOI: 10.1007\/978-3-030-79150-6_37<\/li>
  7. Zachos, C.N. Anagnostopoulos, \u201cDigital modelling, documentation and promotion of Panagia Ekatontapyliani Holy Church using Mixed Reality methodologies\u201d, Proceedings of the 4th Pan-hellenic Conference of Digitization of Cultural Heritage \u2013 Euromed 2021.<\/li>
  8. Francesk Mulita, Georgios-Ioannis Verras, Christos-Nikolaos Anagnostopoulos, Konstantinos Kotis, A smarter health through the internet of surgical things, Sensors 22 (12), 4577, DOI: https:\/\/doi.org\/10.3390\/s22124577<\/li>
  9. Mulita, C.N. Anagnostopoulos, Deep Learning for Colon Cancer: Our Experience and a review of the literature\u201d, Proceedings of British Association of Surgical Oncology Annual Conference, 2022, London.<\/li>
  10. Orfeas Eleftheriou, Asimina Dimara, Konstantinos Kotis and Christos-Nikolaos Anagnostopoulos Saving Energy with Comfort: A Semantic Digital Twin approach for Smart Buildings, Third International Workshop on Semantic Digital Twins (SeDiT 2022), co-located with the 19th European Semantic Web Conference (ESWC 2022), Hersonissos, Greece \u2013 29 May 2022,<\/li>
  11. Orfeas Theodoros Eleftheriou, Christos-Nikolaos Anagnostopoulos, Digital twins: A brief overview of applications, challenges and enabling technologies in the last decade, Digital Twin 2(2), 2022 DOI:https:\/\/doi.org\/10.12688 \/digitaltwin.17581.1<\/li>
  12. Orfeas-Theodoros Eleftheriou, Radostin Mitkov, Vassilis Naserentin, Christos-Nikolaos Anagnostopoulos Computational Fluid Dynamics Simulation on cultural heritage sites: The case of the Medieval Castle of Mytilene, Proceedings of Digital Cultural Heritage Documentation, Preservation and Protection Conference 2022, November 2022, Limassol, Cyprus<\/li>
  13. Koutros, E., Anagnostopoulos, CN. A Review of Heritage Building Information Modelling: Classification of HBIM through the Utilization of Different Dimensions (3D to 7D). In: Moropoulou, A., Georgopoulos, A., Ioannides, M., Doulamis, A., Lampropoulos, K., Ronchi, A. (eds) Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. TMM_CH 2023. Communications in Computer and Information Science, vol 1889. Springer, Cham, 2023, https:\/\/doi.org\/10.1007\/978-3-031-42300-0_25<\/a><\/li>
  14. Tzouvaras, C. et al. (2023). A Guide to Visual Comfort: An Overview of Indices and Its Applications. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-34171-7_14<\/a><\/li>
  15. Tzouvaras, C. et al. (2023). Semantic Interoperability for Managing EnergyEfficiency and IEQ: A Short Review. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-34171-7_19<\/a><\/li>
  16. Tzitziou, G. Tzouvaras C. et al. (2023). Realtime Multi-factor Dynamic Thermal Comfort Estimation for Indoor Environments. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-34171-7_17<\/a><\/li>
  17. Tzitziou, G., Tzouvaras, C., Dimara, A., Papaioannou, A., Krinidis, S., Arvanitis, K., Anagnostopoulos, C., Ioannidis, D., Tzovaras, D. Real-time multi-factor thermal comfort assessment [not peer reviewed]. Peeref 2023 (poster). https:\/\/doi.org\/10.54985\/peeref.2304p8708798<\/a><\/li>
  18. Tzouvaras, C.; Dimara, A.; Papaioannou, A.; Anagnostopoulos, C.-N.; Krinidis, S.; Arvanitis, K.; Ioannidis, D.; Tzovaras, D. A Novel Dynamic Approach for Determining Real-Time Interior Visual Comfort Exploiting Machine Learning Techniques. Appl. Sci. 2023, 13, 6975. https:\/\/doi.org\/10.3390\/app13126975<\/a><\/li>
  19. Admir Mulita, Christos Nikolaos Anagnostopoulos, Francensk Mulita, \u201cThe role of Artificial Intelligence and Image Processing in the Diagnosis, Treatment and Prognosis of Liver Cancer\u201d, Gastroenterology Review (accepted), 2024.<\/li>
  20. Dimitrios Sidiropoulos, Christos-Nikolaos Anagnostopoulos, \u201cApplications, challenges and early assessment of AI and ChatGPT in education\u201d, Workshop on Breaking Barriers with Generative Intelligence (BBGI), 20th International Conference on Intelligent Tutoring Systems, 2024.<\/li>

  21. Myrto Stogia, Vasilis Naserentin, Asimina Dimara, Orfeas Eleftheriou, Ioannis Tzitzios, Christoforos Papaioannou, Mariya Pantusheva, Alexios Papaioannou, George Spaias, Christos-Nikolaos Anagnostopoulos, Anders Logg, Stelios Krinidis, A Scalable and User-Friendly Framework Integrating IoT and Digital Twins for Home Energy Management Systems, Applied Sciences, vol. 14, no. 24<\/span><\/p><\/li>

  22. \u00a0<\/p>

    A Mulita, F Mulita, GI Verras, K Kotis, CN Anagnostopoulos, Using Deep Learning to Predict
    Head-Neck and Lung Cancer Treatment Response from Serial Medical Imaging, European
    Journal of Surgical Oncology vol. 50, 2024.<\/span><\/p><\/li>

  23. \u00a0<\/p>

    F Mulita, C
    Apostoloumi, A Mulita, GI Verras, M Pitiakoudis, K Kotis, C.N. Anagnostopoulos,
    The use of artificial intelligence in surgical oncology simulation, European
    Journal of Surgical Oncology 51, 2024.<\/span><\/p><\/li><\/ol>

    \u0391\u03c0\u03cc \u039c\u03a6 (\u03c0\u03c1\u03ce\u03c4\u03bf\/\u03b7 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1) \u03c4\u03b7\u03c2 \u0398\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae\u03c2 2<\/strong><\/p>

    1. E Mavrikos, N Melissaris, G Tsekouras, A Hybrid Clustering-Based Approach to Color Modification of Art Paintings for Protanopes and Deuteranopes Cloud Computing and Data Science, 13-38,<\/li>
    2. K Sikelis, GE Tsekouras, ITM Feature Selection with a Backtracking Search Optimization Algorithm, Web of Conferences 43, 01018, 2022<\/li>
    3. Melissaris, G. E. Tsekouras, S. Chatzistamatis, J. Tsimikas, A Legendre polynomial neural network and its application in predicting data center temperature, In the Proceedings of the 29th IEEE International Conference on Software, Telecommunications, and Computer Networks (SoftCom 21).<\/li>
    4. K Sikelis, GE Tsekouras, K Kotis, Ontology-based feature selection: A survey, Future Internet 13 (6), 158, 2021.<\/li>
    5. Konstantinos Filippou, George Aifantis, Emmanouil Mavrikos, G Tsekouras, Deep feedforward neural network classifier with polynomial layer and shared weights Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI 2022), Corfu, Greece.<\/li>
    6. Filippou, K.; Aifantis, G.; Papakostas, G.A.; Tsekouras, G.E. Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. Information 2023, 14, 232. https:\/\/doi.org\/10.3390\/info14040232<\/a><\/li>
    7. Eftichia Angeli, Christos Cholevas, Emmanouil Mavrikos, Stamatis Chatzistamatis, George E Tsekouras, Computational Creativity Under the Framework of Recoloring Art Paintings for Color-Blindness, 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), pp. 1-6, IEEE.<\/li>
    8. C Cholevas, E Angeli, Z Sereti, E Mavrikos, GE Tsekouras, Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey, Algorithms 17 (5), 201.<\/li>

    9. S Bentos, E
      Bailis, F Oikonomou, S Spirou, E Mavrikos, S Chatzistamatis, G. Tsekouras, Evaluation
      of Fairness in Machine Learning-Based Recidivism Predictions: the Case of Greek
      Female Prison System, 2024 4th International Conference on Innovative Research
      in Applied Science, 2024<\/span><\/p><\/li><\/ol>

      \u0391\u03c0\u03cc \u039c\u03a6 (\u03c0\u03c1\u03ce\u03c4\u03bf\/\u03b7 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1) \u03c4\u03b7\u03c2 \u0398\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae\u03c2 3<\/strong><\/p>

      1. Antonios Ntagiantas, G. Caridakis, Augmented Reality children\u2019s book for intangible cultural heritage through participatory content creation and promotion. Case study: the pastoral life of Psiloritis as a UNESCO World Geopark<\/li>
      2. Zoi Karageorgiou, G. Caridakis, Smart escape rooms for cultural heritage: a systematic review, submitted to MDPI Heritage, 2021.<\/li>
      3. A Ntagiantas, M Konstantakis, J Aliprantis, D Manousos, L Koumakis, An Augmented Reality Children\u2019s Book Edutainment through Participatory Content Creation and Promotion Based on the Pastoral Life of Psiloritis Applied Sciences 12 (3), 1339.<\/li>
      4. Georgios Roussos, John Aliprantis, Georgios Alexandridis, George Caridakis, \u201cAugmented Reality in Primary Education: Adopting the new normal in learning by easily using AR-based applications\u201d, PCI2022 26th Pan-Hellenic Conference on Informatics with International Participation, 25 \u2013 27 November 2022, Athens, Greece<\/li>
      5. V Ballas, K Michalakis, G Alexandridis, G Caridakis, Automating Mobile App Review User Feedback with Aspect-Based Sentiment Analysis, International Conference on Human-Computer Interaction, 179-193<\/li>

      6. Nikos
        Fragakis, Georgios Trichopoulos, George Caridakis, Embodied and Intelligent
        Approaches to Cultural Information Retrieval, 2024 19th International Workshop
        on Semantic and Social Media Adaptation & Personalization (SMAP), pp. 78-181,
        IEEE<\/span><\/p><\/li><\/ol>

        \u0391\u03c0\u03cc \u039c\u03a6 (\u03c0\u03c1\u03ce\u03c4\u03bf\/\u03b7 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1) \u03c4\u03b7\u03c2 \u0398\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae\u03c2<\/strong> 4<\/strong><\/p>

        1. Zachila K., Kotis K., Dimara A., et al., \u201cSemantic modeling of trustworthy IoT entities in energy-efficient cultural spaces\u201d, 17th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2021), Crete, Springer, 2021<\/li>
        2. Kotis, K., Zachila, K. and Paparidis, E. \u201cMachine Learning Meets the Semantic Web\u201d, Artificial Intelligence Advances, vol. 3, issue 1, 2021.<\/li>
        3. Stavros Stavrinos, Konstantinos Kotis, Christos Kalloniatis, Towards Semantic Modeling and Simulation of Cybersecurity on the Internet of Underwater Things, ,18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022).<\/li>
        4. Andreas Soularidis and Konstantinos Kotis, Semantic modeling and reconstruction of drones\u2019 trajectories, ,19th European Semantic Web Conference (ESWC 2022), Hersonissos, Greece \u2013 29 May 2022<\/li>
        5. E Paparidis, K Kotis, Towards Engineering Fair Ontologies: Unbiasing a Surveillance Ontology, IEEE International Conference on Progress in Informatics and Computing (PIC-2021)<\/li>
        6. K Zachila, K Kotis, E Paparidis, S Ladikou, D Spiliotopoulos, Facilitating Semantic Interoperability of Trustworthy IoT Entities in Cultural Spaces: The Smart Museum Ontology, Internet of Things 2 (4), 741-760<\/li>
        7. Kotis, K., K. Zachila, and E. Paparidis, Machine Learning Meets the Semantic Web, Artificial Intelligence Advances, vol. 3, issue 1, 2021., DOI:10.30564\/aia.v3i1. 3178<\/li>
        8. Kotis, K.; Stavrinos, S.; Kalloniatis, C. Review on Semantic Modeling and Simulation of Cybersecurity and Interoperability on the Internet of Underwater Things. Future Internet<\/em> 2023<\/strong>, 15<\/em>, 11. https:\/\/doi.org\/10.3390\/fi15010011<\/li>
        9. Kotis, K.; Soularidis, A. ReconTraj4Drones: A Framework for the Reconstruction and Semantic Modeling of UAVs\u2019 Trajectories on MovingPandas. Sci.<\/em> 2023<\/strong>, 13<\/em>, 670. https:\/\/doi.org\/10.3390\/app13010670<\/a><\/li>
        10. Kotis, K.; Soularidis, A. ReconTraj4Drones: A Framework for the reconstruction and Semantic Modeling of UAVs\u2019 Trajectories on MovingPandas. Appl. Sci. 2023, 13, 670. https:\/\/doi.org\/10.3390\/app13010670<\/a><\/li>
        11. Koletis, A.; Bitilis, P.; Zafeiropoulos, N.; Kotis, K. Can Semantics Uncover Hidden Relations between Neurodegenerative Diseases and Artistic Behaviors? Appl. Sci. 2023, 13, 4287. https:\/\/doi.org\/10.3390\/app13074287<\/a>.<\/li>
        12. Pavlos Bitilis, Nikolaos Zafeiropoulos, Adam Koletis, Konstantinos Kotis Uncovering the semantics of PD patients\u2019 movement data collected via off-the-shelf wearables, The 14th International Conference on Information, Intelligence, Systems and Applications (IISA), Volos, 2023.<\/li>
        13. Alexandros Karakikes, Panagiotis Alexiadis, Theocharis Theocharopoulos, Nikolaos Skoulidas, Konstantinos Kotis, Understanding bias in Twitter-based intelligence analysis, 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), pp. 1-4, IEEE<\/li>
        14. Karakikes, P. Alexiadis, T. Theocharopoulos, N. Skoulidas, D. Spiliotopoulos and K. Kotis, “Towards Handling Bias in Intelligence Analysis with Twitter,” 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, 2023, pp. 1-10, doi: 10.1109\/DSAA60987.2023.10302618.<\/li>
        15. Nikolaos Zafeiropoulos, Pavlos Bitilis, Konstantinos Kotis, Wear4PDmove: an ontology for knowledge-based personalized health monitoring of PD patients, The 22nd International Semantic Web Conference (ISWC).<\/li>
        16. Zafeiropoulos, N.; Bitilis, P.; Tsekouras, G.E.; Kotis, K. Graph Neural Networks for Parkinson\u2019s Disease Monitoring and Alerting. Sensors 2023, 23, 8936. https:\/\/doi.org\/10.3390\/s23218936<\/a><\/li>
        17. Zafeiropoulos, N.; Bitilis, P.; Tsekouras, G.E.; Kotis, K. Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks. Information<\/em> 2024<\/strong>, 15<\/em>, 100. https:\/\/doi.org\/10.3390\/info15020100.<\/li>
        18. Doumanas D., Soularidis A., Kotis K., Vouros G.,\u00a0“Integrating LLMs in the enginnering of a SAR ontology”, <\/em>20th International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024, Corfu 27 – 30 June 2024 (accepted for publication).<\/li>
        19. A Karakikes, P Alexiadis, K Kotis, Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI<\/a>, SN Computer Science 5 (5), 574.<\/li>
        20. \u00a0Tania Litaina, Andreas Soularidis, Georgios Bouchouras, Konstantinos Kotis and Evangelia Kavakli, Towards LLM-based semantic analysis of historical legal documents, First International Workshop of Semantic Digital Humanities, co-located with ESWC 2024<\/a>, Hersonissos, Crete, May, 2024.<\/li>
        21. Georgios Bouchouras, Pavlos Bitilis, Konstantinos Kotis, and George A. Vouros, LLMs for the Engineering of a Parkinson Disease Monitoring and Alerting Ontology, First International Workshop on Generative Neuro-Symbolic AI, co-located with ESWC 2024<\/a>, Hersonissos, Crete, May, 2024.<\/li>

        22. D Doumanas, A Soularidis, D Spiliotopoulos, C Vassilakis, K Kotis, Fine-Tuning Large Language Models for Ontology Engineering: A Comparative Analysis of GPT-4 and Mistral, Applied Sciences 15 (4), 2146, 2025<\/span><\/p><\/li>

        23. \u00a0<\/p>

          D Doumanas, A Soularidis, D Spiliotopoulos, C Vassilakis, K Kotis, Fine-Tuning Large Language Models for Ontology Engineering: A Comparative Analysis of GPT-4 and Mistral, Applied Sciences 15 (4), 2146, 2025<\/span><\/p><\/li>

        24. \u00a0<\/p>

          G Bouchouras, G Sofianidis, K Kotis, Predicting Freezing of Gait in Parkinson\u2019s
          Disease: A Machine Learning-Based Approach in ON and OFF Medication States, 2025<\/span><\/p><\/li>

        25. \u00a0<\/p>

          G Bouchouras, G Sofianidis, K Kotis, Predicting Freezing of Gait in Parkinson\u2019s
          Disease: A Machine Learning-Based Approach in ON and OFF Medication States, 2025<\/span><\/p><\/li>

        26. \u00a0<\/p>

          G
          Bouchouras, G Sofianidis, K Kotis, Temporal Anomaly Detection in
          Attention-Deficit\/Hyperactivity Disorder Using Recurrent Neural Networks, Cureus
          16 (12)<\/span><\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

          \u0391\u03c0\u03cc \u039c\u03a6 (\u03c0\u03c1\u03ce\u03c4\u03bf\/\u03b7 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1) \u03c4\u03b7\u03c2 \u0398\u03b5\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae\u03c2 1 Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Stelios Krinidis, Dimitrios Tzovaras, Personalized thermal comfort modeling through genetic algorithm, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, DOI: https:\/\/doi.org\/10.1080\/15567036.2021.1937404 Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Konstantinos Kotis, Stelios Krinidis, Dimitrios Tzovaras BEMS in the Era of Internet of Energy: A Review, IFIP…<\/p>","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-876","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/pages\/876","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/comments?post=876"}],"version-history":[{"count":16,"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/pages\/876\/revisions"}],"predecessor-version":[{"id":1424,"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/pages\/876\/revisions\/1424"}],"wp:attachment":[{"href":"https:\/\/ics.aegean.gr\/en\/wp-json\/wp\/v2\/media?parent=876"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}