Introduction A knowledge graph (graph database) captures information about main entities in a domain and the relationships between them. It was an augmented feature store for connected data which gave access to compute, access and operationalise structure features.

Introduction Human language development is innate and evolves throughout life. Machines lack this ability to evolve without advanced artificial intelligence (AI) algorithms. Since the Turing Test was proposed in the 1950s, efforts to master machine understanding of language have led from statistical to neural language models.

Introduction Since 2020, over ten million scholarly articles have been published annually. To put that into perspective, say all ten million articles were released on the first day of the year. To get through them all, you would have to read about 27,397 articles every single day.

Introduction Knowledge Graphs, such as Wikidata, contain rich relational information between entities and have been widely used as a structured format for storing and representing relational information. With the surge of Large Language Models (LLMs) nowadays (e.g. ChatGPT), there is a rising trend in the research of combining Knowledge Graphs with LLMs in multiple ways to solve various kinds of problems.

Exploring the OpenAlex Data Structure and Visualization Author: Qingqin Fang ( ORCID: 0009–0003–5348–4264) Introduction to OpenAlex In today’s world, the realm of research papers is brimming with countless hot topics, and the sheer volume of publications can be overwhelming.

Unlocking the power of language models: A deep dive into BERT Author: Dhruv Gupta (ORCID: 0009–0004–7109–5403 ) Clive Humby, in 2006 rightly said, “Data is the new oil”. With data being present everywhere, it has never been more valuable.

Addressing Misinformation, Bias, and Privacy Concerns Author: Wenyi Pi (ORCID: 0009–0002–2884–2771 ) Recently, the spread of false or misinformation has become an important concern for people all over the world, especially in the era of big data and multimedia, where people are faced with a flood of information that makes it difficult to determine its authenticity.

Introduction The human brain is more extraordinary than any machine we could build. From an early age, many of us gain the ability to comprehend what our eyes tell us and articulate it. Furthermore, we combine evidence from all our senses to reason.

Introduction PubMed is a free Web literature search service developed and maintained by the National Center for Biotechnology Information ( NCBI ), and it is also a part of NCBI’s Entrez retrieval system that provides access to a diverse set of 38 databases. PubMed currently includes citations and abstracts from over 5000 life science journals for biomedical articles dating back to 1948.

Introduction Recently, the spread of false or misinformation has become an important concern for people all over the world, especially in the era of big data and multimedia, where people are faced with a flood of information that makes it difficult to determine its authenticity. According to a recent Pew Research Center survey, about 64% of adults are affected by false or inaccurate information.

Introduction Large language models (LLMs) like OpenAI’s GPT-4, Meta’s LLaMA, and Google Gemini (previously called Bard) have showcased their vast capabilities, from passing bar exams and crafting articles to generating images and website code. Despite their utility, challenges including the misuse of these technologies for generating harmful content, such as racial discrimination or spreading misinformation, have arisen.