Amsterdam/Santa Barbara – IOS Press is pleased to announce 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.
Dr. Einar Fredriksson, Founder and Director of IOS Press: “As a science publishing house operating in an era of digital transformation, we felt it was imperative for us to apply best practices to all aspects of our workflow. The potential of linked data is not lost on us. By offering our datasets in machine-readable form to third parties and semantic tools, we hope to contribute in a meaningful way to scientific progress.”
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 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 visualize the data for human consumption as well as tools for knowledge mining are currently under development.
Please note that this is a beta release and the data as well as the relations between them may be incomplete or inaccurate and will be subject to change while we keep improving our product.
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. Further technical details can also be found there. LD Connect seeks to connect with other datasets and parties. We welcome any feedback and suggestions.
Announcing the beta launch of LD Connect, our Linked Data Portal
About IOS Press IOS Press is an independent, international STM publishing house established in 1987 in Amsterdam, serving the information needs of scientific and medical communities worldwide. IOS Press now publishes more than 100 international journals and approximately 75 book titles each year on subjects ranging from computer sciences and mathematics to biomedicine and the natural sciences. Since the STM publishing industry is rapidly changing, we devote substantial resources to keeping pace with and anticipating new technologies and driving innovation. Our business practices are straightforward, transparent and ethical.
The STKO Lab of the University of Santa Barbara is an information observatory that investigates the role of Space and Time for Knowledge Organization. Research at the Lab is typically related to geospatial semantics, ontologies, and the Semantic Web, spatial data science, (location-based) social networks and volunteered geographic information, geographic information retrieval, Linked Data, Big Data, similarity and analogy-based reasoning, as well as mobile computing and location-based services.