B!SON – Bibliometric and Semantic Open Access Recommender Network
B!SON helps you to find a suitable Open Access journal for your publication by leveraging semantic and bibliometric methods. Simply enter the details of your manuscript below or fetch the details of a paper via its DOI.
B!SON is an acronym for ‘Bibliometric and Semantic Open Access Recommender Network’. B!SON is being developed within a 2-year project of the same name, conducted jointly by TIB and SLUB Dresden. The aim of the project is to implement a recommender system for quality-assured open access journals. From the large amount of open access journals available, this system will create a list of suitable journals sorted according to thematic relevance. For this purpose, in addition to common bibliometric methods of determining similarity, machine learning methods are used, which can determine relevant publication venues based on the semantic similarity of the title or abstract of the article to be published. The partners cooperate with OpenCitations and DOAJ (Directory of Open Access Journals) and strive for a close exchange with institutions that advise authors. While open access publishing requirements are steadily increasing and there is a growing number of open access journals, authors often lack knowledge of relevant, quality-assured open access journals that would be suitable for publishing their own research. A freely accessible tool that can be linked to local support structures will help to make the transition to open access successful.