Aim: This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital platforms and considers its potential impact on both research and scholarly publishing. This application, called entity-fishing, was initially developed by Inria in the context of the EU FP7 project CENDARI (Lopez et al., 2014) and provides automatic entity recognition and disambiguation against Wikipedia and Wikidata. Distributed with an open-source licence, it was deployed as a web service in the DARIAH infrastructure hosted at the French HumaNum. Methods: In this paper, we focus on the specific issues related to its integration on five OA platforms specialized in the publication of scholarly monographs in social sciences and humanities as part of the work carried out within the EU H2020 project HIRMEOS (High Integration of Research Monographs in the European Open Science infrastructure). Results and Discussion: In the following sections, we give a brief overview of the current status and evolution of OA publications and how HIRMEOS aims to contribute to this. We then give a comprehensive description of the entity-fishing service, focusing on its concrete applications in real use cases together with some further possible ideas on how to exploit the generated annotations. Conclusions: We show that entity-fishing annotations can improve both research and publishing process. Entity-fishing annotations can be used to achieve a better and quicker understanding of the specific and disciplinary language of certain monographs and so encourage non-specialists to use them. In addition, a systematic implementation of the entity-fishing service can be used by publishers to generate thematic indexes within book collections to allow better cross-linking and query functions.