<b>Concepção de chatbots</b>

Introduction: Chatbots have their origins in the 1960s, but in today's technological landscape, they have emerged as important tools, improving the user experience and providing agile and personalized service. From the point of view of Information Science (IS), chatbots represent a new channel of communication and interaction with information to facilitate access to large volumes of data, assist in the organization and classification of content, and even in the creation of information recommendation and curation systems. Thus, investigating how CI is being related to the development of chatbots is the question of this research. Objective: To investigate in the academic-scientific literature methodologies and technologies for developing chatbots, as well as the main applications and relationships with CI. Methodology: A literature review was carried out between July and August 2024. Results: 55 documents were analyzed, segmented into five categories: Methodologies, Models, Languages, Platforms and NLP Techniques. The categories were designed to explore the diversity of approaches and techniques present in the literature, as well as to understand how different areas are using chatbots to optimize processes and services. Conclusion: The constant evolution of AI and information retrieval technologies opens up a promising horizon for the development of chatbots. However, despite being related to various techniques and processes, CI is still not given much prominence. Future work suggests that CI techniques and methods be formally integrated into the development of chatbots .

Authors

Institutions

Publication Details

Journal
RDBCI Revista Digital de Biblioteconomia e Ciência da Informação
Published
2025-08-14
DOI
https://doi.org/10.20396/rdbci.v23i00.8679339
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Concepção de chatbots

Patrícia Nascimento Silva, Jordana Rabelo Soares
RDBCI Revista Digital de Biblioteconomia e Ciência da Informação
AI in Service Interactions
article

Concepção de chatbots

Patrícia Nascimento Silva, Jordana Rabelo Soares
article en

Abstract

Introduction: Chatbots have their origins in the 1960s, but in today's technological landscape, they have emerged as important tools, improving the user experience and providing agile and personalized service. From the point of view of Information Science (IS), chatbots represent a new channel of communication and interaction with information to facilitate access to large volumes of data, assist in the organization and classification of content, and even in the creation of information recommendation and curation systems. Thus, investigating how CI is being related to the development of chatbots is the question of this research. Objective: To investigate in the academic-scientific literature methodologies and technologies for developing chatbots, as well as the main applications and relationships with CI. Methodology: A literature review was carried out between July and August 2024. Results: 55 documents were analyzed, segmented into five categories: Methodologies, Models, Languages, Platforms and NLP Techniques. The categories were designed to explore the diversity of approaches and techniques present in the literature, as well as to understand how different areas are using chatbots to optimize processes and services. Conclusion: The constant evolution of AI and information retrieval technologies opens up a promising horizon for the development of chatbots. However, despite being related to various techniques and processes, CI is still not given much prominence. Future work suggests that CI techniques and methods be formally integrated into the development of chatbots .

RDBCI Revista Digital de Biblioteconomia e Ciência da InformaçãoVol. 23
Universidade Federal de Minas Gerais (BR)
Openalex Percentile: Top 89%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

<b>Concepção de chatbots</b> — Patrícia Nascimento Silva, Jordana Rabelo Soares · RDBCI Revista Digital de Biblioteconomia e Ciência da Informação (2025) | TGRS Research Map | TGRS