This paper presents an endeavor to transform a scholarly text edition (of a medical treatise written in Middle French) into a digital edition enriched with references to an on-line dictionary. Hitherto published as a book, the resulting digital edition will use RDFa to interlink its vocabulary with the corresponding lexical entries of the \textit{Dictionnaire étymologique de l'ancien français} (DEAF). Our main contribution is to demonstrate the feasibility of RDFa as an instrument to semantically enriched digital editions within the philologies. In particular, the technological support for RDFa excels beyond domain-specific solutions favored by the TEI community. Our findings may thus contribute to the development of technological bridges between TEI/XML and (Linguistic) Linked Open Data resources. The original data of the edition is available in a \LaTeX{} format that includes profound semantic markup. We convert the corpus data into XML/TEI, and we integrate RDFa-compliant attributes for every lexeme attested in the text. The final conversion into HTML5 preserves these RDFa attributes. It thus represents a digital scholarly text edition that (a) embeds its vocabulary within the overall system of the medieval French language -- via the linking --, and that (b) provides and displays linguistic features such as the sense definitions given in the original corpus data along with the critical apparatus of the original book publication.
@InProceedings{TITTEL18.10, author = {Sabine Tittel ,Helena Bermúdez-Sabel and Christian Chiarcos}, title = {Using RDFa to Link Text and Dictionary Data for Medieval French}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {John P. McCrae and Christian Chiarcos and Thierry Declerck and Jorge Gracia and Bettina Klimek}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-19-1}, language = {english} }