Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Yannis Stavrakas has a total of 11 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    An Integrated System for Urban Parks Touring and Management

    by Kostis Pristouris, Harry Nakos, Yannis Stavrakas, Konstantinos I. Kotsopoulos, Theofanis Alexandridis, Myrto S. Barda, Konstantinos P. Ferentinos

    Urban parks are important recreational spaces of environmental interest for citizens and city visitors. Targeted and attractive promotion of these areas can help develop alternative forms of “green tourism” and increase environmental awareness among citizens, which is particularly important and vital for the future of the planet. New technologies are a key tool for improving the experience of touring urban parks, as they can make the tour much more attractive by highlighting interesting information about the flora and fauna of the park, as well as various other points of interest. This paper presents an integrated system based on augmented reality, artificial intelligence, and data analytics methodologies, comprising both mobile and web applications, focusing on urban parks touring and management, respectively. Through the mobile app for the park visitors, an attractive, interactive touring environment is created which highlights the environmental and historical interest of those areas. At the same time, the web applications for the park managers receive and analyze visitor data to help improve the visitor experience and the overall quality of the park. Finally, the developed integrated system is evaluated to ensure that it meets all user requirements and that its usability and functional components satisfy both groups of potential users, i.e., park visitors and park managers.


  • Open Access

    DatAgent

    by Antonis Mandamadiotis, Stavroula Eleftherakis, Apostolos Glenis, Dimitrios Skoutas, Yannis Stavrakas, Georgia Koutrika

    In this demonstration, we present DatAgent, an intelligent data assistant system that allows users to ask queries in natural language, and can respond in natural language as well. Moreover, the system actively guides the user using different types of recommendations and hints, and learns from user actions. We will demonstrate different exploration scenarios that show how the system and the user engage in a human-like interaction inspired by the interaction paradigm of chatbots and virtual assistants.