The construction of a linguistic linked data framework for bilingual lexicographic resources

Little-known lexicographic resources can be of tremendous value to users once digitised. By extending the digitisation efforts for a lexicographic resource, converting the human readable digital object to a state that is also machine-readable, structured data can be created that is semantically interoperable, thereby enabling the lexicographic resource to access, and be accessed by, other semantically interoperable resources. The purpose of this study is to formulate a process when converting a lexicographic resource in print form to a machine-readable bilingual lexicographic resource applying linguistic linked data principles, using the English-Xhosa Dictionary for Nurses as a case study. This is accomplished by creating a linked data framework, in which data are expressed in the form of RDF triples and URIs, in a manner which allows for extensibility to a multilingual resource. Click languages with characters not typically represented by the Roman alphabet are also considered. The purpose of this linked data framework is to define each lexical entry as “historically dynamic”, instead of “ontologically static” (Rafferty, 2016:5). For a framework which has instances in constant evolution, focus is thus given to the management of provenance and linked data generation thereof. The output is an implementation framework which provides methodological guidelines for similar language resources in the interdisciplinary field of Library and Information Science

Classical dictionary Al-Qamus in lemon

In order to enrich the digital content of Classical Arabic, we aim to propose and represent the Arabic dictionary “'Al-Qamiis Al-Muhit” in the standard format LEMON. Printed transition to digital format requires various steps of work. This article describes the procedures that we followed to convert the dictionary in digitized and encoded format to apply automatic extractions and get the Lemon format used in semantic web. Furthermore, due to Arabic dictionary complexity, formalize lexical and semantic information involves morphosyntactic and derivational knowledge that we try to explain