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Enhancing Scholarly Search with AI: Opportunities and Challenges

release date: 22-05-2024Pageviews:
The pursuit of knowledge through scholarly articles often hinges on effective keyword searches. However, capturing the essence of complex concepts within a few keywords remains a challenge. Peter Webster, Technology Services Librarian at Saint Mary's University, explores the role of AI in refining this process.

AI search tools like Semantic Scholar and the gaming search engine Splore promise to extract meaning beyond the entered keywords, aiming to understand user intent. This is particularly crucial for researchers seeking specific concepts.

The potential of AI, particularly Natural Language Processing (NLP) and Semantic Machine Learning, is significant. When combined with traditional methods, these can derive concepts effectively. However, their success relies on robust metadata, including consistent subject headings and detailed abstracts or full texts.