Using Ontolex-Lemon for Representing and Interlinking Lexicographic Collections of Bavarian Dialects

摘要

This paper describes the conversion of a lexicographic collection of a non-standard German language dataset (Bavarian Dialects) into a Linguistic Linked Open Data (LLOD) format within the framework of ExploreAT! Project. The collection is divided into three parts: 1) conceptual content for unique corpus collection - questionnaire dataset ( DBOE-questionnaires) which contains details of the questionnaires and associated questions, 2) metadata regarding the collection framework - including collectors and hierarchical system of localisations, and 3) lexical dataset ( DBOE-entries) - both unique data collections as answers to the questions and unique data collections as excerpts of already published sources. In its current form, the DBOjentries dataset is available in a TEI/XML format separately from the questionnaire dataset. This paper presents the mapping of the lexical entries from the TEI/XML into an LLOD format using the Ontolex-Lemon model. We present the resulting lexicon of Bavarian Dialect and the approach used to interlink the data collection questionnaires with their corresponding answers (lexical entries). The output complements DBOE-questionnaires dataset, which is already in an LLOD format, by semantically interlinking the original questions with the answers and vice-versa.