This talk touches on our mission at Elsevier to deliver data to improve our customer’s efficiency, may they be researchers, students, geo professionals or medical professionals.
To achieve this goal, we are working simultaneously on keeping our data up to date, accurate and on streamlining the delivery of the knowledge representation structures (KRS) backing our tools and products such as ScienceDirect, - Topic Pages, Engineering Village and more.
We align our quality assurance (QA) and delivery methods with Semantic Web standards, relying on SHACL, SPARQL for QA, RDF standard serializations for releases. We also align with international vocabulary standards, to deliver standard identifiers to our customers to support interoperability.
To make our data searchable, we also aim at dereferencing 100% of our entities on an internal platform based on a triple store and have achieved this goal for over 20 KRSs serving 5 different products.
We also work on mappings and cross-references across the KRSs to increase the efficiency of data management, and boost product interoperability.
About This Speaker
Veronique Moore started her career at Elsevier 10 years ago managing a team of Knowledge Representation Specialists, with the aim of developing the multilingual adaptation of what is now the Health Knowledge Graph, backing products such as Clinical Key.
Veronique came from academia, with a PhD in Linguistics from Paris VI and having joined the Humanities-focus Semantic Web research group of the Vrije Universiteit Amsterdam under the supervision of Professor Schreiber.
She has put her passion for data discovery in her daily job and worked at improving search capabilities, recommender systems, classification, and annotation services by managing the delivery of an ever-growing number of semantic structures (taxonomies to knowledge graphs).
Her team is responsible for the update and delivery of the OmniScience taxonomy that powers the ScienceDirect Topic Pages, the taxonomies behind the Engineering Village, and is involved in several classification initiatives such as the CORA project together with WHO classifying current research around COVID.
23 апр 2024
