A Method to Discover Digital Collaborative Conversations in Business Collaborations

Many companies have a suite of digital tools, such as Enterprise Social Networks, conferencing and document sharing software, and email, to facilitate collaboration among employees. During, or at the end of a collaboration, documents are often produced. People who were not involved in the initial collaboration often have difficulties understanding parts of its content because they are lacking the overall context. We argue there is valuable contextual and collaborative knowledge contained in these tools (content and use) that can be used to understand the document. Our goal is to rebuild the conversations that took place over a messaging service and their links with a digital conferencing tool during document production. The novelty in our approach is to combine several conversation-threading methods to identify interesting links between distinct conversations. Specifically we combine header-field information with social, temporal and semantic proximities. Our findings suggest the messaging service and conferencing tool are used in a complementary way. The primary results confirm that combining different conversation threading approaches is efficient to detect and construct conversation threads from distinct digital conversations concerning the same document

Building A Corporate Corpus For Threads Constitution

International audienceIn this paper we describe the process of building a corporate corpus that will be used as a reference for modelling and computing threads from conversations generated using communication and collaboration tools. The overall goal of the reconstruction of threads is to be able to provide value to the collorator in various use cases, such as higlighting the important parts of a running discussion, reviewing the upcoming commitments or deadlines, etc. Since, to our knowledge, there is no available corporate corpus for the French language which could allow us to address this problem of thread constitution, we present here a method for building such corpora including different aspects and steps which allowed the creation of a pipeline to pseudo-anonymise data. Such a pipeline is a response to the constraints induced by the General Data Protection Regulation GDPR in Europe and the compliance to the secrecy of correspondence

RepXML: Experimenting an ebXML Registry to Store Semantics and Content of Business Messages

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A Representation of B2B Interacting Actions

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A comparison of two neural network architectures for vector quantization

The authors investigate the performance of two neural network architectures for vector quantization (VQ). The two architectures are the multilayer feedforward network and the Hopfield analog neural network. It is found that for the feedforward network to have reasonably good performance, the number of hidden units must be unrealistically high: exponential in the number of dimensions and codewords. For the Hopfield analog model, on the other hand, the number of processors required is equal to the number of codewords and the resulting performance is very close to the optimum mean squared error

Towards a MultiAgent System for Automatic B2B Exchanges

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Extraction de connaissances à partir de l’usage des outils professionnels de communication et de collaboration

National audienceLa multiplication des outils de communication et de collaboration (média sociaux, e-mail, conférence à distance, etc.) a entraîné ces dernières années une explosion du volume de données non-structurées. Or, ces données (contenus et usages des outils) recèlent une connaissance explicite et tacite de valeur, souvent inexploitée. Cette connaissance apporte un contexte essentiel pour comprendre les documents de référence existants – plus structurés – qui ont été produits de manière collaborative, permettant à tout employé de donner un sens à leur contenu et favoriser ainsi la collaboration. Après avoir décrit différentes classifications de connaissances, les outils de communication et de collaboration sont catégorisés sur la base de travaux précédents dans le domaine du travail collaboratif, puis au travers de théories sur les médias. Une approche bottom-up est proposée pour extraire la connaissance en utilisant des méthodes quantitatives et des méthodes qualitatives (i.e. des entretiens, questionnaires, pop-ups, fichiers de traces, etc.). Cette connaissance sera utilisée dans le but de développer un modèle qui servira de base pour des collaborations plus efficaces et plus efficientes

A multi-agent mediation platform for automated exchanges between businesses

Session: Interoperable Business Processes and Business Interactions - Workshop held at the 8th International Joint Conference on Autonomous Agents & Multi-Agent Systems (AAMAS 2009)International audienceTo automate electronic exchanges between business, the classical approach is to define beforehand an interacting protocol that must then be rigorously followed. This imposes a costly design time and a constrained runtime. We thus adopt a different approach, representing companies with autonomous agents whose interaction is mediated by an additional agent able to anticipate and resolve interoperability problems at runtime. We build these agents using the agent platform JADE and more precisely we designed an institutional plugin for JADE called JIA, allowing agents to reason about institutional concepts such as obligations, norms and powers. This paper describes the functioning of JIA and its use to create the mediation platform

High-throughput measurement of recombination rates and genetic interference in Saccharomyces cerevisiae

International audienceAllelic recombination owing to meiotic crossovers is a major driver of genome evolution, as well as a key player for the selection of high-performing genotypes in economically important species. Therefore, we developed a high-throughput and low-cost method to measure recombination rates and crossover patterning (including interference) in large populations of the budding yeast Saccharomyces cerevisiae. Recombination and interference were analysed by flow cytometry, which allows time-consuming steps such as tetrad microdissection or spore growth to be avoided. Moreover, our method can also be used to compare recombination in wild-type vs. mutant individuals or in different environmental conditions, even if the changes in recombination rates are small. Furthermore, meiotic mutants often present recombination and/or pairing defects affecting spore viability but our method does not involve growth steps and thus avoids filtering out non-viable spores

Role of Cis, Trans, and Inbreeding Effects on Meiotic Recombination in Saccharomyces cerevisiae

WOS:000452315900007International audienceMeiotic recombination is a major driver of genome evolution by creating new genetic combinations. To probe the factors driving variability of meiotic recombination, we used a high-throughput method to measure recombination rates in hybrids between SK1 and a total of 26 Saccharomyces cerevisiae strains from different geographic origins and habitats. Fourteen intervals were monitored for each strain, covering chromosomes VI and XI entirely, and part of chromosome I. We found an average number of crossovers per chromosome ranging between 1.0 and 9.5 across strains ("domesticated" or not), which is higher than the average between 0.5 and 1.5 found in most organisms. In the different intervals analyzed, recombination showed up to ninefold variation across strains but global recombination landscapes along chromosomes varied less. We also built an incomplete diallel experiment to measure recombination rates in one region of chromosome XI in 10 different crosses involving five parental strains. Our overall results indicate that recombination rate is increasingly positively correlated with sequence similarity between homologs (i) in DNA double-strand-break-rich regions within intervals, (ii) in entire intervals, and (iii) at the whole genome scale. Therefore, these correlations cannot be explained by cis effects only. We also estimated that cis and trans effects explained 38 and 17%, respectively, of the variance of recombination rate. In addition, by using a quantitative genetics analysis, we identified an inbreeding effect that reduces recombination rate in homozygous genotypes, while other interaction effects (specific combining ability) or additive effects (general combining ability) are found to be weak. Finally, we measured significant crossover interference in some strains, and interference intensity was positively correlated with crossover number