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International audience; Current research in lifelog data has not paid enough attention to analysis of cognitive activities in comparison to physical activities. We argue that as we look into the future, wearable devices are going to be cheaper and more prevalent and textual data will play a more significant role. Data captured by lifelogging devices will increasingly include speech and text, potentially useful in analysis of intellectual activities. Analyzing what a person hears, reads, and sees, we should be able to measure the extent of cognitive activity devoted to a certain topic or subject by a learner. Test-based lifelog records can benefit from semantic analysis tools developed for natural language processing. We show how semantic analysis of such text data can be achieved through the use of taxonomic subject facets and how these facets might be useful in quantifying cognitive activity devoted to various topics in a person's day. We are currently developing a method to automatically create taxonomic topic vocabularies that can be applied to this detection of intellectual activity.

International audience; The aim of the talk is to present the methodology used to reorganise the PACTOLS thesaurus of Frantiq, launched within the framework of the MASA consortium. PACTOLS is a multilingual and open repository about archaeology from Prehistory to the present and for Classics. It is organized into six micro-thesaurus at the root of its name (Peuples, Anthroponymes,Chronologie, Toponymes, Oeuvres, Lieux, Sujets). The goal is to turn it into a tool interoperable with information systems beyond its original documentary purpose, and usable by archaeologists as a repository for managing scientific data. During the talk, we will describe the choice of tools, the organisation of work within the steering group and the collaborations with specialists for the upgrading and development of the vocabulary while showing the strengths and limitations of some experiments. Above allit will show how the introduction of the conceptual categories of the BackBone Thesaurus of DARIAH, modelled on the CIDOC-CRM ontology, through a progressive deconstruction/reconstruction process, eventually had an impact on all micro thesauri and questioned the organisation of knowledge so far proposed.

AbstractThe paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practical use case on a corpus of circa 15.000 digitized resources about European integration since 1945. The corpus allowed generating a dynamic multilayer network which represents different kinds of named entities appearing and co-appearing in the collections. To our knowledge, Intergraph is one of the first interactive tools to visualize dynamic multilayer graphs for collections of digitized historical sources. Graph visualization and interaction methods have been designed based on user requirements for content exploration by non-technical users without a strong background in network science, and to compensate for common flaws with the annotation of named entities. Users work with self-selected subsets of the overall data by interacting with a scene of small graphs which can be added, altered and compared. This allows an interest-driven navigation in the corpus and the discovery of the interconnections of its entities across time.

International audience; In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background search. Organising and making sense of all this data can be challenging as many historians continue to rely on analog or basic digital tools. We built an integrated note-taking environment for historians which unifies a set of func-tionalities we identified as important for historical research including editing, tagging, searching, sharing and visualization. Our approach was to involve users from the initial stage of brainstorming and requirement analysis through to design, implementation and evaluation. We report on the process and results of our work, and conclude by reflecting on our own experience in conducting user-centered visual analytics design for digital humanities.

International audience; Lexical Markup Framework (LMF) or ISO 24613 [1] is a de jure standard that provides a framework for modelling and encoding lexical information in retrodigitised print dictionaries and NLP lexical databases. An in-depth review is currently underway within the standardisation subcommittee , ISO-TC37/SC4/WG4, to find a more modular, flexible and durable follow up to the original LMF standard published in 2008. In this paper we will present some of the major improvements which have so far been implemented in the new version of LMF.

International audience; After more than a decade online, the ArkeoGIS project illustrates the benefits of data sharing. Thanks to free software bricks, and with the precious help of the CNRS’s Huma-Num infrastructure, this spreadsheet sharing platform has shown its efficiency. Users can freely select their language, chronology and the data they wish to share. With over 100 database extracts from professionals, research grants and advanced students, the tool now offers more than 100,000 spatialized data units about the past - in the Upper Rhine valley and also worldwide depending on users’ needs. In this contribution, good practices, hindrances and accelerators of data sharing among archaeologists and (paleo-) environmentalists on the ArkeoGIS platform will be discussed, with the hope of generating more sharing in the digital humanities.

International audience; This paper presents the Nénufar project, which aims to make several successive (free of copyright up to 1948) editions of the French Petit Larousse Illustré dictionary available in a digitised format. The corpus of digital editions will be made publicly available via a web-based querying interface, as well as distributed in a machine readable format, TEI-LEX0.

International audience

International audience

International audience; In this paper, we present an online communication-driven decision support system to align terms from a dataset with terms of another dataset (standardized controlled vocabulary or not). Heterotoki differs from existing proposals in that it takes place at the interface with humans, inviting the experts to commit on their definitions, so as to either agree to validate the mapping or to propose some enrichment to the terminologies. More precisely, differently to most of existing proposals that support terminology alignment, Heterotoki sustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.