Collaboration & Research Partners
Elsevier Labs participates in research partnerships, consortia, and other collaborations with teams representing a variety of organizations. The resulting projects and the work that goes into them is an integral part of sharing and learning new technologies while helping foster networks.
THOR is a 30 month project funded by the European Commission under the Horizon 2020 programme. It will establish seamless integration between articles, data, and researchers across the research lifecycle. This will create a wealth of open resources and foster a sustainable international e-infrastructure
The LinkedUp Project is a FP7 Support Action which pushes forward the exploitation and adoption of public, open data available on the Web, in particular by educational organizations and institutions.
Data2Semantics aims to provide essential semantic infrastructure for bringing e-Science to the next level. A core task for scientific publishers is to speed up scientific progress by improving the availability of scientific knowledge. This holds both for dissemination of results through traditional publications, as well as through the publication of scientific data.
Linked Data for Professional Educators (LD4PE) is developing a Web-based Linked Data Exploratorium to support discovery of learning resources available online by open educational resource (OER) and commercial providers. The Exploratorium will host competency framework for Linked Data that supports indexing learning resources according to the specific competencies, skills, and knowledge they address.
ScienceIE at SemEval-2017: Elsevier is a content and resource contributor for the ScienceIE: Machine Reading for Scientists, which includes a task in the International Workshop on Semantic Evaluation 2017. SemEval 2017 Task 10 - Extracting Keyphrases and Relations from Scientific Publications - includes three subtasks: Identification of keyphrases, Classification of identified keyphrases, and Extraction of relationships between two identified keyphrases. The challenge uses a corpus of 500 journal articles built from ScienceDirect open access publications.