Publishing in the academic world is in the middle of the same digital transformation as so many other industries – just maybe not as far along. The Scholarly Kitchen brought this interesting information to our attention in their article, “Transforming Scholarly Publishing With Blockchain Technologies and AI: An Interview with Darrell Gunter.”
Artificial intelligence (AI) and semantic search hasn’t taken off in the scholarly publishing field like many others. The search of scientific knowledge has become more interactive and web based. The ways scholars nowadays search for new material is based on topics and names of authors rather than locating already known journals. Most are still using a standard Boolean search.
At the end of the day, content needs to be findable and, that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
