Classification and indexing

Category-Connect leverages AI to categorize scientific papers into different research areas, providing relevant categories for manuscripts in a consistent and standardized manner.

Molecular Connections developed a deep indexing solution for a leading authority in chemical information. The project aimed to enhance searchability and discoverability of chemical content across various scientific disciplines by indexing key concepts, substances, reactions, and structures, including…

eLife Pathways is eLife’s open-publishing-infrastructure initiative (backed by a £2.4m Wellcome investment), building on its publish-review-curate model toward modular publishing — separating a paper into parts so both humans and machines can link between them, with different composed…

Molecular Connections developed a custom-built, high-throughput, and multifaceted Keyword Recommendation Service (KRS) for IFIS, a not-for-profit publisher specializing in food and health sciences. The KRS utilizes advanced deep learning techniques, including semantic similarity algorithms, contextual vectorizations, and bi-directional…

The SDG Classifier Demonstrator is a lightweight tool developed to assist publishers in aligning their content with the United Nations Sustainable Development Goals (SDGs). It evaluates text against two independently developed sets of Boolean queries from leading bibliometrics…

SDGenie (beta) is a free, experimental AI tool from CABI that explores how research text, such as abstracts, can be matched to the United Nations Sustainable Development Goals at the level of individual SDG targets, rather than just…

Molecular Connections collaborated with a leading scientific publishing society in the physical sciences to enhance content discoverability and recommendation. The project involved developing a rich ontology and semantically enriching millions of backfiles using AI/ML-driven solutions, including semantic fingerprinting…

Smart Topic Miner (STM) is an ontology-driven application developed to assist Springer Nature’s editorial team in annotating the volumes of all books covering conference proceedings in Computer Science. By leveraging the Computer Science Ontology—a comprehensive taxonomy of research…

Elsevier is trialling the integration of ChatGPT into SSRN’s classification process to automate and improve the assignment of research papers to topic areas. The goal is to reduce manual labour, improve speed and consistency, and decrease costs. ChatGPT…