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IOS Press announces the availability of LD Connect Beta Version 2 -

IOS Press has announced the availability of LD Connect 2.0 (Beta). This linked data portal with an improved user interface currently contains linked IOS Press (meta) data from more than 132,000 journal articles and book chapters and over 330,000 authors resulting in more than 16 million triples.

LD Connect now provides enhanced metadata to researchers, publishers and publishing analytics services, database developers, and other entities that enable discoverability, accessibility, interoperability and data reusability. 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.

The 16 million triples (linked subjects, predicates and objects extracted from statements in the knowledge graph) in the IOS Press Knowledge Graph (KG) within LD Connect are comprised of individual statements and maps connections across metadata from journal articles, book chapters, authors, affiliations, keywords and other bibliographic metadata to provide a complete ecosystem of IOS Press scholarly relationships. LD Connect also offers extensive document and KG embeddings, which are constructed from the metadata as well as the full texts from all IOS Press content.

New data are continuously added to LD Connect. Tools for data querying and knowledge mining are already available, including a visual linked data browser, SPARQL query endpoint, and visual query interface. To further enrich the portal, a suite of enhanced semantic search tools to query and visualise the data is currently in proof of concept (PoC) stage.

The complete dataset, its subsets and additional technical details can be explored and downloaded at http://ld.iospress.nl. LD Connect seeks collaboration with other datasets and parties.

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.

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