STM publisher IOS Press has announced the beta launch of its Linked Data Portal: LD Connect. LD Connect contains linked metadata of all IOS Press books and journals. Making machine-readable metadata publicly available via this new platform opens up a wide range of opportunities.
The un-siloing of data leads to improved retrieval, accessibility, reusability, and interoperability. Structured data can be searched, shared, reused, data mined and linked to other data sources. Contextual relations between authors, institutions and research areas can be made visible. Downstream applications such as abstracting and indexing databases can use the data portal to ensure their own datastores are always up to date with latest research published by IOS Press. Furthermore, authors who publish their work with IOS Press can do so under the assurance that their work is disseminated through both human and machine accessible channels and following web-friendly standards.
LD Connect currently contains millions of triples, i.e., individual statements, and maps connections between metadata of journal articles, book chapters, authors, affiliations, keywords and other biographic metadata to provide a complete ecosystem of the IOS Press scholarly relationships. New data is continuously added and new data points will also be added to further enrich the portal. Tools that visualise the data for human consumption as well as tools for knowledge mining are currently under development.
LD Connect was developed in collaboration with STKO Lab in Santa Barbara, CA, USA. The complete dataset and its subsets are available for exploring at http://ld.iospress.nl.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
