Powering Elsevier Quosa Literature Management Solution with Federated Search

Posted: 30 Jan 2020

Date Written: January 29, 2020

Abstract

Quosa is designed to provide a copyright-compliant library solution for corporate customers with literature search, storage, and monitoring capabilities. The main customers are medical affairs departments at pharmaceutical and medical device companies. External literature searches will be powered by federated search capabilities provided by Deep Web Technologies. Deep Web brings onboard expertise of connecting to many sources in a federated manner. Documents stored in the Quosa library will be indexed using the Elsevier Text Mining pipeline, allowing Quosa to offer advanced search capabilities using taxonomy, and semantic searches. Documents stored in libraries will also be clustered and visualized by Lingo4G engine from Carrot Search. Lingo4G allows near real-time topic discovery and finding lexical relationships. Data slicing and filtering allows users to type a query and drill down into the cluster.

Keywords: Search, Information Retrieval, Federated Search, Text Mining

Suggested Citation

Karapetyan, Ken and Gutfreund, Keith and Varma, Shylendra, Powering Elsevier Quosa Literature Management Solution with Federated Search (January 29, 2020). Proceedings of the 3rd Annual RELX Search Summit, Available at SSRN: https://ssrn.com/abstract=3527350

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