@Article{a16070339,
AUTHOR = {Bouras, Vasilis and Spiliotopoulos, Dimitris and Margaris, Dionisis and Vassilakis, Costas and Kotis, Konstantinos and Antoniou, Angeliki and Lepouras, George and Wallace, Manolis and Poulopoulos, Vassilis},
TITLE = {Chatbots for Cultural Venues: A Topic-Based Approach},
JOURNAL = {Algorithms},
VOLUME = {16},
YEAR = {2023},
NUMBER = {7},
ARTICLE-NUMBER = {339},
URL = {https://www.mdpi.com/1999-4893/16/7/339},
ISSN = {1999-4893},
ABSTRACT = {Digital assistants—such as chatbots—facilitate the interaction between persons and machines and are increasingly used in web pages of enterprises and organizations. This paper presents a methodology for the creation of chatbots that offer access to museum information. The paper introduces an information model that is offered through the chatbot, which subsequently maps the museum’s modeled information to structures of DialogFlow, Google’s chatbot engine. Means for automating the chatbot generation process are also presented. The evaluation of the methodology is illustrated through the application of a real case, wherein we developed a chatbot for the Archaeological Museum of Tripolis, Greece.},
DOI = {10.3390/a16070339}
}