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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; 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.

In 2008, a pilot project initiated by TGE Adonis, a large research infrastructure, brought together designers of data repositories, archivists and system engineers to set up collaborative oral/linguistic resource centres in France. This paper discusses challenging issues addressed by this team when implementing an Open Archival Information System (OAIS) bundled with an institutional archive. After the completion of the pilot project, the Speech & Language Data Repository (SLDR) underwent development for the systematic management of access rights in compliance with the French Heritage code. Its framework claims to be applicable to other systems worldwide, which would facilitate interoperability between protected repositories equipped with transfer of authentication techniques (Single Sign-On).

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; Several Research Infrastructures(RIs)exist in the Humanities and Social Sciences, some –such as CLARIN, DARIAH and CESSDA –which address specific areas of interest, i.e. linguistic studies, digital humanities and social science data archives. RIs are also unique in their scope and application, largely tailored to their specific community needs. However, commonalities do exist and it is recognised that benefits are to be gained from these such as efficient use of resources, enabling multi-disciplinary research and sharing good practices. As such,a bridging project PARTHENOS has worked closely with CLARIN and DARIAH as well as ARIADNE (archaeology), CENDARI (history), EHRI (holocaust studies) and E-RIHS (heritage science) to iden-tify, develop and promote these commonalities. In this paper, we present some specif-ic examples of cross-discipline and trans-border applications arising from joint RI collaboration, allowing for entirely new avenues of research

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.

International audience; CIDOC CRM is an ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information. The Semantic Web with its Linked Open Data cloud enables scholars and cultural institutions to publish their data in RDF, using CIDOC CRM as an interlingua that enables a semantically consistent re-interpretation of their data. Nowadays more and more projects have done the task of mapping legacy datasets to CIDOC CRM, and successful Extract-Transform-Load data-integration processes have been performed in this way. A next step is enabling people and applications to actually dynamically explore autonomous datasets using the semantic mediation offered by CIDOC CRM. This is the purpose of OpenArchaeo, a tool for querying archaeological datasets on the LOD cloud. We present its main features: the principles behind its user friendly query interface and its SPARQL Endpoint for programs, together with its overall architecture designed to be extendable and scalable, for handling transparent interconnections with evolving distributed sources while achieving good efficiency.