In recent years, gradual improvements in communication and connectivity technologies have enabled new technical possibilities for the adoption of chatbots across diverse sectors such as customer services, trade, and marketing. The chatbot is a platform that uses natural language processing, a subset of artificial intelligence, to find the right answer to all users’ questions and solve their problems. Advanced chatbot architecture that is extensible, scalable, and supports different services for natural language understanding (NLU) and communication channels for interactions of users has been proposed. The paper describes overall chatbot architecture and provides corresponding metamodels as well as rules for mapping between the proposed and two commonly used NLU metamodels. The proposed architecture could be easily extended with new NLU services and communication channels. Finally, two implementations of the proposed chatbot architecture are briefly demonstrated in the case study of “ADA” and “COVID-19 Info Serbia”.

This paper presents an approach for context modeling in complex self adapted systems consisting of many independent context-aware applications. The contextual information used for adaptation of all system applications is described by an ontology treated as a global context model. A local context model tailored to the specific needs of a particular application is defined as a view over the global context in the form of a feature model. Feature models and their configurations derived from the global context state are then used by a specific dynamic software product line in order to adapt applications at runtime. The main focus of the paper is on the realization of mappings between global and local contexts. The paper describes an overall model architecture and provides corresponding metamodels as well as rules for a mapping between feature models and ontologies.

A chatbot is an algorithm, a programming script, designed to give users the ability to communicate and interact with it online in order to perform a specific task, without any human factor involvement. In the beginning, chatbots were exclusively programs with which it was possible to correspond by exchanging instant text messages. The main focus of the paper is on the presentation of usage of chatbot ADA (Academic Digital Assistant) based on artificial intelligence. ADA chatbot was developed to provide students with an enhanced study service and the necessary information during their studies. Statistical parameters of the use of chatbot ADA and the analysis of statistics of conversations by channels show growing trend in the use of chatbots in all three surveys of communication channels (Viber, FB Messenger and Website). The conclusions of the analysis of top 10 scenarios and number of conversations are shown that students' interests were in accordance with the school calendar and obligations.

The world has witnessed a historic shift in the labor market in 2020 and 2021 due to the COVID-19 pandemic. While some companies used to offer the possibility of working from home as an advantage, now it has become the norm for most companies. By 2025, it is estimated that 70% of the workforce will work remotely at least five days a month. Although 2020 can be considered the year of remote working, this is just the beginning because we see that the trend continues in 2022. Even in new circumstances such as Health Crisis, all variations of the distance jobs and hybrid working models were not just the outcomes of the global business conspiracy but true working model tools which have been developed since evolutional decades of information technologies. The methods used in the paper are literature review, data analysis, descriptive statistics and comparative method. The results presented in the paper showed that remote workers will become the new norm in the business world.

Students can retrieve information from the website or use the services of an existing information system (provided the information system is on the internet). However, we know from experience that searching a website is time-consuming or even inaccurate, and the functionality of the information system is limited. Chatbot makes it more natural, efficient and faster. Chatbot can understand natural language, i.e. written text and voice messages. It gives precise answers and performs all actions intended by the website and / or the information system. But the website and the information system do not have the richness of language that the chatbot has. You have to log in to the information system and know how to use it, and each new version requires new learning. If you know how Viber or FB Messenger work, you probably know how to use chatbot. The services provided by chatbot are visible on communication platforms used by a large number of users, and thus the quality of these services is better. Due to the use of chats, the human resources of the educational institution are redirected/retrained to more responsible and creative jobs because the workload has been relieved. The paper presents a chatbot called ADA, developed at the Belgrade Business and Arts Academy of Applied Studies (BAPUSS), and shows basic usage statistics. It also points out the importance of chatbots as a communication channel in educational institutions.