Informatics is pleased to launch Scite.AI in India – the next Generation citation database that looks far ahead of traditionally known citation databases. The launch program is scheduled as part of the 6th Library Technology Conclave (https://LT2022.org) on the coming Friday, the 7th January 2022, as both physical and online event. Physical event is going to be held in Bangalore at the Hotel ITC Fortune Park JP in Race Course Road, 4-6.30 PM. Please visit the site https://www.ltc2022.org/curtain-raiser/ for more details and to register.
The legacy citation databases evolved during the time technology was primitive. They indexed the cited references without the context. For the context of the citation and to determine the intent with which they are cited, the readers had to access full text of the articles separately and read through the article. Eugene Garfield realized this limitation and envisioned the idea of citation marker to classify the cited references based on the context of their citation. This was beyond the technology of his times, and until recently.
Scite.AI, a major technological break-through in the citation database domain, fulfills this vision of Garfield by using AI based Machine Learning (ML) and deep-learning techniques. Besides finding out how many publications have cited his paper; a researcher can look at the context in which the citing authors have cited his paper and the intent of citing that paper. The intent of citing in a context is indicated by classifying the cited references based on the contextual information and using three tags: (a) supporting the views of citing paper; (b) disagreeing/contrasting with the vies of citing paper; (c) mere citing.
The development of Scite.AI is part funded by the National Science Foundation (NSF), USA and the National Institute of Health (NIH), USA. Dr. Josh Nicholson, developer of Scite.AI, will be speaking at our LTC2022, curtain-raiser launch function.
Dr. Debabrata Das, Director, Indian Institute of Information Technology, Bangalore, will be delivering the LTC2022 Curtain-raiser lecture on the topic: OPEN SCIENCE DATA AVAILABILITY BY NETWORKING WITH RESEARCHERS