Saleroom Fiction versus Provenance

This article examines a group of twelve fragments in different languages and different scripts previously held in the Schøyen collection in London and Oslo. After they first emerged on the market in 1993, these fragments received colourful hypothetical and/or fictional pseudo-provenances. However, a consideration of the material logic of these parchment fragments (including folding lines and sewing holes) as well as an examination of the Arabic marginal manuscript notes they carry allows us to re-establish their historical trajectory from the seventh/thirteenth century onwards. At this point, they became part of Muslim Damascene manuscript culture and were reused as wrappers for small booklets in the scholarly field of ḥadīth. In the late ninth/fifteenth century, these booklets were subjected to a massive binding project and the fragments went into new large volumes. This article thus suggests approaches to use provenance research in order to re-historicize decontextualized fragments in modern collections.

Place Names in Colophons and Notes of Yemeni Manuscripts

This article points to some geographical and historical conditions of scholarship and manuscript culture in Zaydi Yemen. The place of copying is only sporadically given in the colophons of Arabic manuscripts. This is confirmed by a systematic investigation into the catalogues of the Berlin collection presented here. In particular, this article discusses the presence of place names in the colophons and notes of Yemeni manuscripts, based on an examination of 750 volumes held in the Österreichische Nationalbibliothek in Vienna, the Bayerische Staatsbibliothek in Munich, and the Staatsbibliothek in Berlin. It reveals that manuscripts from the Zaydi tradition were copied in numerous locations, but also shows the relevance of other places with respect to the transmission of knowledge. The wide range of fifty villages and smaller towns that appear in the colophons is significant for Yemen and can be explained by the long tradition of Zaydi scholars settling in the tribal territory in villages (qarya) or settlements called hijra (pl. hijar). The result remains surprising in so far as older catalogues of Yemeni manuscripts seem to be erratic and inconsistent in providing information on places of copying.

Medieval manuscripts and their migrations: Using SPARQL to investigate the research potential of an aggregated Knowledge Graph

Although the RDF query language SPARQL has a reputation for being opaque and difficult for traditional humanists to learn, it holds great potential for opening up vast amounts of Linked Open Data to researchers willing to take on its challenges. This is especially true in the field of premodern manuscripts studies as more and more datasets relating to the study of manuscript culture are made available online. This paper explores the results of a two-year long process of collaborative learning and knowledge transfer between the computer scientists and humanities researchers from the Mapping Manuscript Migrations (MMM) project to learn and apply SPARQL to the MMM dataset. The process developed into a wider investigation of the use of SPARQL to analyse the data, refine research questions, and assess the research potential of the MMM aggregated dataset and its Knowledge Graph. Through an examination of a series of six SPARQL query case studies, this paper will demonstrate how the process of learning and applying SPARQL to query the MMM dataset returned three important and unexpected results: 1) a better understanding of a complex and imperfect dataset in a Linked Open Data environment, 2) a better understanding of how manuscript description and associated data involving the people and institutions involved in the production, reception, and trade of premodern manuscripts needs to be presented to better facilitate computational research, and 3) an awareness of need to further develop data literacy skills among researchers in order to take full advantage of the wealth of unexplored data now available to them in the Semantic Web.