Open Annotation Collaboration Phase II Demonstration Experiments: Case Study Report

This report presents results from a case study, conducted as part of Phase II of the Open Annotation Collaboration (OAC), examining nine annotation demonstration experiments and associated use cases. During Phase II, the OAC actively developed and experimented with an RDF-based annotation data model. The primary features of the data model were developed in response to findings in Phase I and evolved during the course of Phase II based on feedback from the demonstration experiments, community discussions, and face-to-face meetings. The case study was based primarily on interviews conducted with project developers and user groups, supplemented with information from final reports submitted by the participating projects

When linguistics meets web technologies. Recent advances in modelling linguistic linked data

This article provides an up-to-date and comprehensive survey of models (including vocabularies, taxonomies and ontologies) used for representing linguistic linked data (LLD). It focuses on the latest developments in the area and both builds upon and complements previous works covering similar territory. The article begins with an overview of recent trends which have had an impact on linked data models and vocabularies, such as the growing influence of the FAIR guidelines, the funding of several major projects in which LLD is a key component, and the increasing importance of the relationship of the digital humanities with LLD. Next, we give an overview of some of the most well known vocabularies and models in LLD. After this we look at some of the latest developments in community standards and initiatives such as OntoLex-Lemon as well as recent work which has been in carried out in corpora and annotation and LLD including a discussion of the LLD metadata vocabularies META-SHARE and lime and language identifiers. In the following part of the paper we look at work which has been realised in a number of recent projects and which has a significant impact on LLD vocabularies and models