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DATA MODELS - BIBFRAME as a data model for aggregating heterogeneous data in a search portal

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DATA MODELS - BIBFRAME as a data model for aggregating heterogeneous data in a search portal
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Abstract
The Lin|gu|is|tik portal is a research tool for the field of linguistics that has been developed at the University Library Frankfurt am Main since 2012. It provides an integrated search for discipline-specific scientific resources: printed as well as electronic publications, websites, and research data. In order to facilitate the inclusion of language resources that are part of the Linguistic Linked Open Data cloud, linked data technologies have increasingly been incorporated into the portal since 2015. As a major part of this effort the established thesaurus of the Bibliography of Linguistic Literature (BLL) comprising more than 9,000 subject terms has been re-modeled as an ontology (BLL Ontology) and made freely available online. Since our goal is to make full use of the opportunities linked data technologies offer, we decided to replace the underlying proprietary data scheme of the portal by a standardized data model that has been expressly designed for linked data applications. BIBFRAME has been selected to fulfill this role. In this presentation we will give an overview of the ongoing work in the current project phase (2020-2022) and discuss why we chose BIBFRAME for this use case, how we adapted it in terms of an application profile, how it fits into the overall LOD-centric architecture of the portal, and in what way it interacts with the BLL Ontology that is used throughout the portal as authority data. We will also show specific features that the chosen data model makes possible as well as give a brief technological overview.