This chapter discusses the computational challenges and innovations encountered in the development of the Scottish corpora (the Scottish Corpus of Texts & Speech and the Corpus of Modern Scottish Writing), considers how tools for corpus analysis can encourage new audien...

Background: Biomedical natural language processing (NLP) applications that have access to detailed resources about the linguistic characteristics of biomedical language demonstrate improved performance on tasks such as relation extraction and syntactic or semantic parsi...

To foster responsible research and innovation, research communities, institutions, and funders are shifting their practices and requirements towards Open Science. Open Science skills are becoming increasingly essential for researchers. Indeed general awareness of Open S...

With the increasingly rapid growth of data in life sciences we are witnessing a major transition in the way research is conducted, from hypothesis-driven studies to data-driven simulations of whole systems. Such approaches necessitate the use of large-scale computationa...

Abstract This progress article focuses on an overview of the potential and challenges of using contemporary Geographic Information System (GIS) applications for the visual rendering and analysis of textual spatial data. The case study is an ancient traveling narrative, ...

Abstract Background Negation occurs frequently in scientific literature, especially in biomedical literature. It has previously been reported that around 13% of sentences found in biomedical research articles contain negation. Historically, the main motivation for ident...

How best can humanities researchers access and analyse large-scale digital datasets available from institutions in the cultural and heritage sector? What barriers remain in place for those from the humanities wishing to use high performance computing to provide insights...

The rapid development of new digital tools and infrastructures in recent years and their application to a variety of disciplines has transformed how we store, access and retrieve information available to us. This has also shaped the ways how knowledge in a diverse cultu...

The EGI Federated Cloud is a standards-based, open cloud system as well as its enabling technologies that federates institutional clouds to offer a scalable computing platform for data and/or compute driven applications and services. The EGI Federated Cloud is based on ...

AbstractInformation about verb subcategorization frames (SCFs) is important to many tasks in natural language processing (NLP) and, in turn, text mining. Biomedicine has a need for high-quality SCF lexicons to support the extraction of information from the biomedical li...