Collaborative Construction of Updatable Digital Critical Editions: A Generic Approach In the frame of Digital Humanities, many collaborative scholarly publishing projects are arising. Editors often give shape to those projects by designing a data structure that validates the annotated content of the edition. In practise, in the course of annotation, data structures have to be updated. Besides, they determine the expressivity of the critical apparatus. The challenge is to design a data structure that will: be updatable; guarantee the consistency of the collective editorial project; reflect the different editorsu0027 needs in terms of expressivity. In this paper, we present the basis to build an edition tool dedicated to collaborative data structuring. To do so, we introduce a composite structure, constituted of a core structure (CS) and of ephemeral, peripheral ones (PS). PS will be created by individual editors to amend the core structure. They will then be discussed by the community, and eventually adopted or rejected. Means will be provided to  translate  the structured data instantiating one structure into a shape validated by the others. This way, if a PS is accepted, the CS will be updated and the instances of the previous CS will be transformed so as to match the updated CS.

Ontology Building Using Parallel Enumerative Structures The semantics of a text is carried by both the natural language it contains and its layout. As ontology building processes have so far taken only plain text into consideration, our aim is to elicit its textual structure. We focus here on parallel enumerative structures because they bear implicit or explicit hierarchical relations, they have salient visual properties, and they are frequently found in corpora. We have defined a process which identifies them in a text, translates them into ontology structures and finally links such structures to the concepts of an existing ontology. We have assessed this process on Wikipedia encyclopaedic articles as they are rich in definitions and statements, and contain many enumerations. The many ontology structures we have obtained are thus used to enrich an ontology which we had automatically built from database specification documents.