Potential of Bots for Encyclopedia

Review of the National Center for Digitization, 2023

In a world that has already stepped into the Age of Imagination, an era that directly follows the Digital Age, the rise of the use of new technologies has led to the emergence of not only augmented and virtual reality and the accelerated development of robotics, but also to a leap in the development of artificial intelligence. Its outlines are clearly visible in the latest model of ChatGPT, a product of the company OpenAI that became available to the public in open access on November 30th, 2022. It is believed that by December 4th, 2023, it already had one million users. There were already over 250 scientific articles on the topic of this model by February 12th, most of them published in the form of preprints on portals such as Academia.edu, ResearchGate, and even Arxiv, and it found its place in eminent magazines such as the Economist and Forbes, among others. The name of this AI bot appeared in thousands of daily newspaper headlines, including in the domestic Serbian daily newspaper Politika (Политика), and continuously appears in everyday reports from various fields that are also published by electronic daily portals. In addition, the news about it gained significant number of followers as the AI itself on the social and business networks such as LinkedIn. Given that this is the beginning of a new era both for numerous sciences as well as for the civilization, this article is divided in three parts. According to said, the first part pays attention to early impressions of the use of this model and its possibilities, the second analysis its application so far and its impacts, while the third part reviews its possible applications in digital humanities, archivists and museology. Additionally, as the first search engines based on the use of this model appeared in the meantime, attention is also drawn to their capabilities. This paper is written based on the material and articles published so far, as well as on testing of this model and its related search engines.

2008

In this paper we describe a way to access information using chatbot, without the need for sophisticated natural language processing or logical inference. FAQs are Frequently-Asked Questions documents, designed to capture the logical ontology of a given domain. Any Natural Language interface to an FAQ is constrained to reply with the given Answers, so there is no need for NL generation to recreate well-formed answers, or for deep analysis or logical inference to map user input questions onto this logical ontology; simple (but large) set of pattern-template matching rules will suffice. In this paper and as an evidence for this argument, the FAQ in the School of Computing (SoC) at the University of Leeds as well as Perl, Linux, and Python were used to retrain the ALICE chat-bot system, producing FAQchat. The replies from FAQchat looks like results generated by WWW search engines such as AskJeeves or Google. User trials with AskJeeves, Google and FAQchat demonstrate that FAQchat is a viable alternative, and in fact many users prefer it to Google as tool to access FAQ databases. The restricted domain of an FAQ is special case of Question-Answering which does not require the sophisticated analysis techniques.

2020

1Assistant Professor, Dept. of Information Technology, K.L.N. College of Engineering, Tamil Nadu, India 2,3,4Student, Dept. of Information Technology, K.L.N. College of Engineering, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract A chatterbot or chatbot aims to make a conversation between both human and machine. It can also be built as a question answering system. A chatbot for student score searching is implemented in this system. To process the user requests and to provide efficient information the chatbot is developed with different services and skills. Watson Assistant service is the main service which acts as core of the chatbot. Watson Assistant service has the skeleton of conversations with intents and entities. Input is categorized with the intent and delivers output based on available entities. The entire knowledge of chatbot is stored in a SQL database wh...

2007

Chatbots are computer programs that interact with users using natural languages. This technology started in the 1960's; the aim was to see if chatbot systems could fool users that they were real humans. However, chatbot systems are not only built to mimic human conversation, and entertain users. In this paper, we investigate other applications where chatbots could be useful such as education, information retrival, business, and e-commerce. A range of chatbots with useful applications, including several based on the ALICE/AIML architecture, are presented in this paper.

2005

A chatbot is a conversational agent that interacts with users through natural languages. In this paper, we describe a new way to access information using a chatbot. The FAQ in the School of Computing at the University of Leeds has been used to retrain the ALICE chatbot system, producing FAQchat. The results returned from FAQchat are similar to ones generated by search engines such as Google. For evaluation, a comparison was made between FAQchat and Google. The main objective is to demonstrate that FAQchat is a viable alternative to Google and it can be used as a tool to access FAQ databases.

IRJET, 2020

This paper provides an overview of a ChatBot, primarily designed for accessing information from an educational institute. Students of an institute are constantly involved in various exams and activities. To access such information, a student has to physically visit the information center as not all information has reached all the students. This paper proposes a chatbot, which makes it easier for the student to access such information by directly asking the chatbot about the information they need. The students can access such information using natural language as if they are having a conversation with a human itself and the human is answering their questions. This system also helps prospective students to analyze their probability of getting admission to the college in their preferred department. The understanding and recognition of a user's query is the most basic and important step in the development of a chatbot. Different chatbots with different purposes all have some special questions and queries, which are relevant to their purpose and are uniquely understood by those chatbots. The proposed chatbot system understands the special keyword and questions related to an engineering college. The system recognizes these queries in text and speech format using Natural language processing and provides the user with an answer.

Chatbots are increasingly getting popularity in recent years. It is being predicted that this new technology is going to affect all aspect of human being. Along with its applications in other areas it can also be widely used in the field of Library and Information Science (LIS). In this context this study is an attempt to survey a few available Chatbots globally. The literature review revels that chatbots are not a recent phenomenon. However, it has gained popularity due to latest development of ‘pattern-matching algorithm’ and the intelligence based on the ‘Artificial Intelligence Markup Language.’ These sophisticated chatbots can be widely used in library services not only as a handy reference tool but also in other areas of LIS domain. The study further finds the open source and commercial Chatbots and discusses their potential application in the LIS field. With their huge potential these bots may not replace the librarians and their jobs but can supplements their functions.

This abstract includes the total quantum of the chatbot. A new approach to computer-to-mortal business is handed by conversational interfaces, or chatbots as they're generally known. In the history, exercising a quest machine or completing a form was demanded in order to have a software programme respond to a query, as programs were fully reckoned on syntax and semantics of the programming language and it was veritably delicate for the nonprogrammers to communicate with computers. With a chatbot, a customer may principally interrogate request the same way they would with a mortal. Voice chatbots like Alexa and Siri are right now the most well-known feathers of chatbots. On the other hand, chatbot handover rates on computer discourse platforms are presently truly strong. You may make a introductory chatbot by adding generally asked questions (FAQs) to chatbot software. major invention companies to prepare common shoptalk. Integrating the chatbot with the company's enterprise software can enhance its capabilities. The maturity of marketable chatbots calculate on platforms developed by the major technology companies to exercise natural language. Amazon Lex, IBM Watson, Face book Deep Text, Google Cloud Natural Language API, Slack, Skype, and Microsoft Cognitive Services are a numerous of these.

2016

Journal of process management and new technologies

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...