LD Connect: Search
IOS PRESS SEARCH
LD Connect builds a powerful knowledge graph that has embeddings derived from all full text data. It uses links between the data known as “triples” in the form of subject–predicate–object expressions. The portal currently contains millions of these individual statements and it maps connections between metadata of journal articles, book chapters, authors, affiliations, keywords, and other bibliographic metadata to provide a complete ecosystem of IOS Press' scholarly relationships.
By enriching and fostering the interlinking of data, contextual relationships among authors, institutions, and research areas can be obtained and interpreted. A simple search of the data can result in patterns emerging and new relationships being uncovered (see Note 1).
EXPLORE LD CONNECT
Carrying out a search of LD Connect will help you expand your knowledge about research, authors, keywords, journals, organizations, or potential peer reviewers within your field. This "simple search" functionality allows you to browse the data with minimum effort and brings you maximum return (see Note 2). For more advanced search functionalities, we recommend you use the expert level "semantic search" option via the linked data portal.
TIPS FOR USING LD CONNECT
Multiple types of analyses are available to you. Would you like to map out who our frequent authors are and which topics (keywords) they publish? Or perhaps to see where authors are located? There are lots of options.
For all searches, the results can be exported as a .CSV file with the click of a button. Our data can also be merged easily with other datasets, such as citation data, which can expand insights into the impact of specific articles.
We welcome information about any other use case ideas that you might have or details about projects where our data has been utilized. We are keen to share stories and spread awareness of the power of linked data. Get in touch!
Note 1: LD Connect is based on IOS Press data uploaded on a weekly basis. For journals, it includes papers that have been published in an issue (i.e. not articles in pre-press).
Note 2: While we aim to ensure the data is as complete as possible, development is ongoing and there could be instances whereby book/journal data is not available. Any queries, comments, or feedback can be submitted to the marketing team via this contact form; please include “LD Connect” in the subject line.
"It is exciting to see the growing interest in improving machine actionability in the data space. Initiatives such as IOS Press’ LD Connect, which makes available a significant amount of publications-related metadata in RDF, greatly contributes to this movement and improves the FAIRness of these resources. I hope this sets a new trend in the publishing sector."
Luiz Bonino, PhD, associate professor at Leiden University Medical Center and University of Twente
Discover More About LD Connect
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