Announcements

MDPI Books recently released Book Builder, a new online tool to conveniently arrange, design and produce an eBook from any content published in MDPI journals. Book Builder offers two functions: on the one hand (1) Selections, available to every registered user of MDPI; on the other hand (2) Special Issue Reprints, which can be used exclusively by Guest Editors of Special Issues.

Selections

In just a matter of a few clicks, all users are now able to assemble books from MDPI articles and receive instantaneous feedback in the form of a fully produced and compiled book (PDF), which can be downloaded or ordered as print copy. Selections can include any paper published with MDPI, picking and combining content from different journals and special issues.

This way, the user may for example choose to compile an ebook focusing around a particular topic, or assemble articles from a group of others.

We invite you to make yourself familiar with the new tool! The Book Builder can be found here: https://www.mdpi.com/books/book_builder.

Special Issue Reprints

The Book Builder allows Guest Editors of MDPI journals to create a reprint from a successfully completed Special Issue or Topical Collection in book format. If you are a Guest Editor for an MDPI journal, you can use the new tool  to create an PDF document which includes all articles published in the Special Issue as well as a book cover and table of contents.

For Special Issues containing a minimum of 5 articles, the Guest Editor can request its publication on the MDPI Book platform. Published reprints are assigned an ISBN and DOI.

In addition to the PDF copy of the Reprint Book, as a token of our gratitude, MDPI offers every Guest Editor one (1) complimentary print copy (via print-on-demand). All contributors benefit from a discount on orders of any additional print copies, to share with colleagues or libraries or others.

Why choose MDPI Books?

In line with our organization's values, MDPI Books publishes all content in open access, promoting the exchange of ideas and knowledge in a globalized world. MDPI Books encompasses all the benefits of open access—high availability and visibility, as well as wide and rapid dissemination. MDPI Books are distributed under the terms and conditions of the Creative Commons Attribution License, meaning as an author you retain the copyright for your work. In addition, with MDPI Books you can complement the digital version of your work with a high-quality printed counterpart.

If you are interested in editing a book volume or series, or have a monograph manuscript to be considered for publication, please submit your proposal online and look at our Information for Authors.

Contact: Laura Wagner, MDPI Books Manager (email)

In June of this year, MDPI will celebrate the 25th anniversary of its foundation. To mark this significant milestone, we have created a 25th Anniversary page on our website that evokes the development of our company over the past quarter-century.

MDPI has been a pioneer of Open Access publishing ever since the concept was first created.

In a wide-ranging interview, our CEO Delia Mihaila reflects on the company’s 25th anniversary and its contribution to the world of scientific publishing.

Delia considers how MDPI has evolved since starting life in 1996 as a visionary ‘project’ run out of an apartment in Basel, Switzerland, by Dr. Shu-Kun Lin. A chemist who was passionate about the long-term preservation of rare chemical sample, Dr. Lin was determined to help scholars publish their findings as quickly as possible and make their research results available to as wide a readership as possible worldwide. That determination remains unchanged 25 years later.

Today, MDPI is an international organization with over 4,000 employees based on three continents and in ten countries, and ranks among the world's top four academic publishers.

MDPI's mission is to accelerate access to new scientific research, delivering insight faster for researchers worldwide. Read more here about the company's remarkable success story and what the Open Access publishing model can offer the global scientific community.

Knowledge is an international peer-reviewed open access journal regarding knowledge and knowledge-related technologies. The aim of Knowledge is to publish papers in the field of propositional knowledge, procedural knowledge, and acquaintance knowledge, social or economic, in both theory and application. We accept manuscripts on knowledge and knowledge-related technologies. Topics of interest include, but are not limited to:

• Knowledge Engineering and Technology
• Temporal and spatial database processing
• Intelligent information retrieval
• Modelling and object orientation
• Information, Data and Knowledge Management
• Artificial Intelligence techniques relating to knowledge and data management
• Data and knowledge sharing
• Uncertainty management
• Agent architectures and systems
• Knowledge discovery and data mining
• Knowledge-Based Education and Practice
• Knowledge-Based Economies and Societies

We welcome all distinguished scholars—across all fields—who contribute to the knowledge and knowledge-related technologies. We are devoted to providing a global forum for practitioners and scholars to disseminate their research to all intended audiences and further contribute to this field.

As an Editorial Board Member, you will be responsible for:

1. Providing suggestions for the journal's development, especially in the initial phase as well as in the long term.
2. Promoting Knowledge at academic events and increasing its visibility.
3. Suggesting (and optionally editing) special issues related to your field of research and recommending potential guest editors.
4. Prescreening submissions and making decisions on whether these papers should be rejected or accepted for publication.

If you are interested in this position or have any potential candidates for recommendation, please contact the Knowledge Editorial Office at knowledge@mdpi.com.

At MDPI, we strive to make your online publication process seamless and efficient. To achieve this, our team is continuously developing tools and features to make the user experience useful and convenient.

As the number of academic papers continues to grow, so does the need to analyze and work with them on a large scale. This prompted us to design a new feature aimed at helping researchers find journals that are relevant to their publication by matching their abstract topic. In this regard, we designed a similarity model that automatically identifies the most suitable academic journals for your paper.

We are pleased to introduce Journal Selector, a new feature that measures similarity in academic contexts. By simply entering the title and/or abstract into our Journal Selector, the author will see a list of the most related scientific journals published by MDPI. This method helps authors select the correct journals for their papers, highlighting the time of publication and citability.

The methodology is known as representation learning, where words are represented as vectors in hyperspace. Representation helps us differentiate between different concepts within articles, and in turn, helps us identify similarities between them.

We used an advanced machine learning model to better capture the semantic meanings of words. This helps the algorithm make better predictions by leveraging scientific text representation. In turn, this ensures high precision, helping authors decide which journal they should submit their paper to.

The goal is to support authors to publish their work in the most suitable journal for their research, as fast as possible, accelerating their career progress.

Contact: Andrea Perlato, Head of Data Analytics, MDPI (email)