| smart-topic-miner |
description |
The Smart Topic Miner (STM) is a novel application, developed in collaboration with
Springer Nature, which classifies scholarly publications according to an automatically
generated ontology of research areas. STM analyses in real-time a collection of publications
and returns a description of the given corpus in terms of a taxonomy of research topics
drawn from a large scholarly ontology and a set of Springer Nature Classification
tags. This information is used for a variety of tasks such as: i) classifying proceedings
in digital and physical libraries; ii) enhancing semantically the metadata associated
with publications and consequently improving the discoverability of the proceedings
in both the Springer digital library, SpringerLink, as well as third-party sites such
as Amazon.com; iii) deciding where and when to market a specific book; and iv) detecting
novel and promising research areas that may deserve more attention from the publisher. |
