Fish-bone diagram of research issue: Gain a bird's-eye view on a specific research topic

TL;DR

This paper introduces a fish-bone diagram based on issue ontology to help novice researchers understand complex research topics by providing a broad, causal overview, enhancing their ability to survey and analyze academic fields effectively.

Contribution

It presents a novel fish-bone diagram constructed from issue ontology to offer a comprehensive, causal overview of research topics, aiding novice researchers in understanding and surveying academic fields.

Findings

The fish-bone diagram effectively visualizes research issues and their causal relationships.

Evaluation shows the diagram's potential to support research survey and understanding.

Identified strengths and areas for improvement in the diagram's development pattern.

Abstract

Novice researchers often face difficulties in understanding a multitude of academic papers and grasping the fundamentals of a new research field. To solve such problems, the knowledge graph supporting research survey is gradually being developed. Existing keyword-based knowledge graphs make it difficult for researchers to deeply understand abstract concepts. Meanwhile, novice researchers may find it difficult to use ChatGPT effectively for research surveys due to their limited understanding of the research field. Without the ability to ask proficient questions that align with key concepts, obtaining desired and accurate answers from this large language model (LLM) could be inefficient. This study aims to help novice researchers by providing a fish-bone diagram that includes causal relationships, offering an overview of the research topic. The diagram is constructed using the issue ontology from academic papers, and it offers a broad, highly generalized perspective of the research field, based on relevance and logical factors. Furthermore, we evaluate the strengths and improvable points of the fish-bone diagram derived from this study's development pattern, emphasizing its potential as a viable tool for supporting research survey.