Proceedings of the 2nd International Conference on Digital Tools & Uses Congress最新文献

Towards big religious data: RESILIENCE research infrastructure for data on religion in the digital age 迈向大宗教数据:数字时代宗教数据的弹性研究基础设施

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424007

Marco Büchler, S. Riegert, Federico Alpi, Francesca Cadeddu

引用次数: 2

Data lakes for digital humanities 数字人文的数据湖

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424004

J. Darmont, Cécile Favre, Sabine Loudcher, C. Noûs

引用次数: 4

Interoperability and discursive process about categories 关于类别的互操作性和话语过程

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424005

Orélie Desfriches-Doria, J. Debaz, Waldir Lisboa Rocha Filho

引用次数: 0

From register to digital: a 100-years study of witchhunts around Ac 29 从登记到数字:一个关于公元29年前后女巫狩猎的100年研究

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424006

Gwendolin Ortega

引用次数: 0

Decisional architectures from business intelligence to big data: challenges and opportunities 从商业智能到大数据的决策架构:挑战与机遇

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424049

M. Aissa, Lilia Sfaxi, R. Robbana

{"title":"Decisional architectures from business intelligence to big data: challenges and opportunities","authors":"M. Aissa, Lilia Sfaxi, R. Robbana","doi":"10.1145/3423603.3424049","DOIUrl":"https://doi.org/10.1145/3423603.3424049","url":null,"abstract":"Information is one of the most important factors in business success, hence the importance of the Business Intelligence (BI) domain in order to simplify the decision making and make it more relevant. Decisional systems have been used for several years to help decision-makers access, analyze and extract value from the data that their organisation accumulated through the years. The success gained by these types of systems caused the establishment of a well-known architecture and development chain, and the proliferation of tools and methodologies that have proven their value. Nonetheless, in some use cases, the classical decisional architecture shows some shortcomings. In fact, the traditional storage and processing models in Business Intelligence systems are not sufficient anymore when confronted with data that becomes more and more massive, varied and with a high velocity. This is where Big Data solutions can be of great use. In fact, these solutions have proven their efficiency when dealing with enormous constantly increasing amounts of data with a changing schema. Our goal in this article is to show the various manners to integrate big data solutions into the decisional world, and to help architects choose which architecture corresponds better to their needs, by taking into consideration the environmental, technical and functional constraints they are faced with.","PeriodicalId":387247,"journal":{"name":"Proceedings of the 2nd International Conference on Digital Tools & Uses Congress","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115309262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AdRobot

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424052

K. Hafaiedh, Mouhib Ben Rhouma, Fahd Chargui, Yassine Haouas, A. Kerkeni

{"title":"AdRobot","authors":"K. Hafaiedh, Mouhib Ben Rhouma, Fahd Chargui, Yassine Haouas, A. Kerkeni","doi":"10.1145/3423603.3424052","DOIUrl":"https://doi.org/10.1145/3423603.3424052","url":null,"abstract":"Digital Advertising and promotional e-campaigns have been a basic pillar of marketing. One of the main challenges marketers face nowadays is about associating the right promotion to the right customer. Making the product-customer assignment accurate is crucial to satisfy customer needs. However, manually analyzing qualitative data for the purpose of defining the right target audience is exhausting and time consuming, especially when the number of costumers is high. In this paper, our aim is to automatically assign personalized campaigns that match specific customer desire, therefore making promotional campaigns consistent with their interests. Automating the process of assigning the right promotion to the right customer according to its specific needs is appealing as customers often show little to no interest in random ads. Our solution, referred to as \"AdRobot\", aims at overcoming these challenges by gathering complex data and insights into the target audience using data collected from conversations via the designed chatbot. Our strategy consists of performing fine-grained audience classification by segmenting profiles based on some profiling and conversational constraints, so that the audience is matched with the right promotional campaign. In order to achieve this goal, we propose an algorithm that investigates profiling and conversational data collected along with the customers' intents using artificial intelligence heuristics. Results show that \"AdRobot\" accurately matches promotional campaigns with the right customers according to their needs.","PeriodicalId":387247,"journal":{"name":"Proceedings of the 2nd International Conference on Digital Tools & Uses Congress","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121298174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Towards a recommendation system for children's animated movies based on chromatic features 基于色彩特征的儿童动画电影推荐系统研究

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424058

M. Frikha, Tarek Zlitni, N. Bouassida

引用次数: 2

A distributed intelligent agent based intrusion detection system using deep learning algorithms 基于深度学习算法的分布式智能代理入侵检测系统

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424054

Sami Mezghani, F. Ktata

引用次数: 1

Standardizing linguistic data: method and tools for annotating (pre-orthographic) French 标准化语言数据:注释(前正字法)法语的方法和工具

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3423996

Simon Gabay, Thibault Clérice, Jean-Baptiste Camps, Jean-Baptiste Tanguy, Matthias Gille Levenson

引用次数: 8

A cooperative agents-based workflow-level distributed data placement strategy for scientific cloud workflows 科学云工作流中基于协作代理的工作流级分布式数据放置策略

Proceedings of the 2nd International Conference on Digital Tools & Uses Congress Pub Date : 2020-10-15 DOI: 10.1145/3423603.3424009

Rihab Derouiche, Zaki Brahmi

{"title":"A cooperative agents-based workflow-level distributed data placement strategy for scientific cloud workflows","authors":"Rihab Derouiche, Zaki Brahmi","doi":"10.1145/3423603.3424009","DOIUrl":"https://doi.org/10.1145/3423603.3424009","url":null,"abstract":"Within the Cloud Computing context, the placement of massive data used by scientific workflows environment appears to be costly in terms of energy consumption and data transfer time. Indeed, due to the large size of consumed and generated datasets of scientific workflows tasks, the data placement problem becomes more challenging task. This problem is considered as NP-Hard problem. Ensuring an optimal mapping of data to Cloud Storage Services at a reasonable time turns out to be necessary. Many task-level approaches have been hence proposed while considering shared datasets within individual workflows to reduce data transfer cost, which is not efficient enough for the situation of multiple workflows. In the same perspective, taking into account the fixed datasets still an important issue. In the present paper, cooperative agents and Formal Analysis Concepts (FCA) based-data placement strategy for workflow-level data-intensive workflows is proposed. The proposed approach deals with three main concerns: i) treating multiple workflows simultaneously, ii) considering all types of data, specifically, fixed datasets, and iii) reducing the execution time of the data placement algorithm based on a set of cooperative intelligent agents. Experimental results show that the distribution of the proposed data placement strategy among a set of cooperative agents and the FCA approach can be more cost-effective than its task-level counterpart. Eventually, the proposed strategy proves to reduce the execution time during the execution of the tasks of multiple workflows.","PeriodicalId":387247,"journal":{"name":"Proceedings of the 2nd International Conference on Digital Tools & Uses Congress","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130346419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1