can be measured (finding papers that are "about" the same thing even if they use different keywords).
One of the most persistent headaches in bibliometrics is . If three different "J. Smith"s publish in physics, how do we know which one is the expert in quantum mechanics? The researchers introduced advanced algorithms to: [51-98]
🌐 Navigating the Sea of Science: Enhancing the Microsoft Academic Knowledge Graph can be measured (finding papers that are "about"
Beyond knowing who wrote a paper, we need to know what it is about. The MAKG enhancement utilized machine learning to classify publications into a granular hierarchy of fields. This isn't just "Biology" vs. "Physics"; it's the ability to categorize niche sub-fields, making it easier for researchers to find relevant literature in a crowded digital landscape. 🧠 The Power of Embeddings Smith"s publish in physics, how do we know
A used for author disambiguation.
by analyzing co-author networks and citation patterns. Link disparate profiles that belong to the same person.
Faster search means faster breakthroughs.