Automatic information extraction from online published scientific documents is useful in
various applications such as tagging, web indexing and search engine optimization. As a …

Our vision paper outlines a plan to improve the future of semantic interoperability in data
spaces through the application of machine learning. The use of data spaces, where data is …

In contrast to most of the English scientific publications that follow standard and simple
layouts, the order, content, position and size of metadata in German publications vary greatly …

Large language models (LLMs) are dramatically influencing AI research, spurring
discussions on what has changed so far and how to shape the field's future. To clarify such …

The challenge of automatically extracting metadata from scientific PDF documents varies
depending on the diversity of layouts within the PDF collection. In some disciplines such as …

Methods for the formation of digital collections of a digital mathematical library are
presented. With the help of tools for analyzing the structure of documents and their style …

Algorithms for documents metadata formation of unstructured digital mathematical
collections are proposed. They are based on the use of search queries to such open …

This paper offers a brief history of, ConfSys, a conference management system, that has
been used for over 15 years to support a number of international academic conferences. It is …

Аннотация Представлены методы создания цифровых математических коллекций,
включающих неструктурированные наборы документов. Эти наборы содержат …

A system for providing performance optimization for a software solution may scan multiple
predefined levels of the software solution to extract corresponding metadata information …