Future of Research
Persistent Identification and Machine-Actionable Knowledge Author This article explores and analyses the paper ‘Persistent Identification and Interlinking of FAIR Scholarly Knowledge’ by Muhammad Haris, Markus Stocker and Sören Auer from ML3S Research Center, Leibniz University Hannover. The paper was published in 2022. Introduction The Problem with Traditional Research Papers Every year, millions of research papers are […]
LLM-Graph-Builder
LLM-Graph-Builder: Converting Data into a Knowledge Graph Source: DALLE-3 Author Introduction Creating structured graphs out of unstructured text can be both exciting and challenging. At its core, you’re transforming free-form sentences into connected entities and relationships—effectively turning text into a network of information that’s much easier to analyse and query. This concept of extracting knowledge […]
ROR: Mapping Research Organisation IDs
Understanding How the Research Organisation Registry is Used Across the Web Created using DALL.E on 2 March 2025 Author Introduction In today’s digital research landscape, finding, accessing, and connecting scholarly information has become increasingly complex. How do we reliably identify research outputs, the people who create them, and the organisations where this work takes place? […]
Dynamic Knowledge Graphs: A Next Step For Data Representation?
Integrating temporal data into static knowledge graphs Introduction Knowledge graphs (KGs) have proven to be an effective method of data representation that is increasingly popular. In KGs, entities and concepts are represented as nodes, while the relationships between nodes are depicted as edges. Thus, KGs can effectively capture the semantic meanings of nodes. For instance, Google’s […]
Research Graph 102
Using Cypher to work with the Australian National Graph The Australian National Graph is the first large-scale initiative to develop a national PID graph database. Using the Research Graph schema, it connects more than a thousand research organisations to their associated research outputs. Introduction In this article, we look at the graph database developed as […]
Research Graph 101
Research Graph is a heterogeneous network that connects research outputs, research activities and researchers. Author Introduction In this article, we look at Research Graph as an information model, and an approach to connect and capture the connections between research outputs, researchers and research activities. We explore the metadata model, and we discuss how to capture […]
Unlocking Intelligence: The Journey from Data to Knowledge Graph
An Overview of Constructing a Knowledge Graph Author · Qingqin Fang (ORCID: 0009–0003–5348–4264) 1. Introduction 1.1 What is a Knowledge Graph Knowledge Graphs are structured semantic knowledge bases used to rapidly describe concepts and their relationships in the physical world. By aggregating information, data, and linkages from the web, Knowledge Graphs make information resources more computable, […]
Unveiling the Synergy: Retrieval Augmented Generation (RAG) Meets Knowledge Graphs
Tools and Platforms for Integration of Knowledge Graphs with RAG pipelines Authors Introduction Many users of chatbots such as ChatGPT, have encountered the problem of receiving inappropriate or incompatible responses. There are several reasons why this might happen. One reason is the lack of appropriate training data, as chatbots are usually trained on large amounts […]