Search results for "Data Science"
showing 10 items of 495 documents
An Ontology-Based Monitoring System in Vineyards of the Burgundy Region
2019
Given the France's rich wine heritage as well as its pioneering position as the world's second wine producer, the production of high quality wines plays a role of primary importance. The recent development of IOT and efficient big data processing has been shown to provide purposeful issue to permanent monitoring during the entire wine making process. Standing within this trend, we introduce in this paper an intelligent system for vineyards monitoring in the Burgundy region. The main trust of the proposed system relies on the use of the Swrl rules in WineCloud ontology. The design of the ontology is mainly based on information gathered from interviews with wine growers. In addition, sensor d…
Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field
2006
Data mining as an applied research field is still causing great expectations among organizations which want to raise the utility they are getting from their huge databases and data warehouses. There exist too few success stories about organizations having managed to satisfy even some of those expectations. This situation is very similar to the one inside the information systems (IS) field, especially earlier but even currently. The recent lively debate about the identity of the IS discipline included also the analysis concerning the customers of IS research. Inspired by IS researchers' insights related to the topic, we ask the question "who is our customer?" as data mining researchers. With…
Understanding the role of documents in a hierarchical flow of work
1997
Challenges and Experiences Extending the cBioPortal for Cancer Genomics to a Molecular Tumor Board Platform
2021
In Molecular Tumor Boards (MTBs), therapy recommendations for cancer patients are discussed. To aid decision-making based on the patient’s molecular profile, the research platform cBioPortal was extended based on users’ requirements. Additionally, a comprehensive dockerized workflow was developed to support the deployment of cBioPortal and connected services. In this work, we present the challenges and experiences of nearly two years of implementing and deploying an MTB platform based on cBioPortal and compare those to findings of a previous study.
Network Analysis of Platform Ecosystems: The Case of Internet of Things Ecosystem
2015
Software platform providers are often seen as the cornerstone of their business ecosystem, where the other ecosystem players utilize the platform’s standardized components together with complementary components for making applications. These platforms are also becoming a cornerstone of the emerging Internet of Things (IoT) business ecosystem comprised of the companies who provide Internet-enabled devices, applications, connectivity solutions, and the platforms for the IoT usage. While a number of enabling technologies for IoT is available, the question remains what kind of ecosystem emerges around IoT platform providers and whether this ecosystem is evolving in line with the theoretical mod…
Scripting Computer-Supported Collaborative Learning
2010
In this chapter, we will present a review of theoretical and empirical analyses of Web-based collaboration processes used during a scripted university course. The results refer to a design-based study that involved first-year teacher-education students (N = 30) studying pedagogy over a period of three months. The intervention involved structuring the subjects’ collaborative actions with three different pedagogical scripts. According to the findings, the scripts guided students’ activities by helping them find resources for knowledge construction and work together through a series of steps. However, there were variations among groups in terms of quality of collaboration, and the students mos…
Towards A Twitter Observatory: A Multi-Paradigm Framework For Collecting, Storing And Analysing Tweets
2016
International audience; In this article we show how a multi-paradigm framework can fulfil the requirements of tweets analysis and reduce the waiting time for researchers that use computational resources and storage systems to support large-scale data analysis. The originality of our approach is to combine concerns about data harvesting, data storage, data analysis and data visualisation into a framework that supports inductive reasoning in multidisciplinary scientific research. Our main contribution is a polyglot storage system with a generic data model to support logical data independence and a set of tools that can provide a suitable solution for mixing different types of algorithms in or…
Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives
2013
International audience; Cultural heritage is increasingly put through imaging systems such as multispectral cameras and 3D scanners. Though these acquisition systems are often used independently, they collect complementary information (spectral vs. spatial) used for the study, archiving and visualization of cultural heritage. Recording 3D and multispectral data in a single coordinate system enhances the potential insights in data analysis. Wepresent the state of the art of such acquisition systems and their applications for the study of cultural her- itage. Wealso describe existing registration techniques that can be used to obtain 3D models with multispec- tral texture and explore the idea…
Automatic Timeline Construction and Analysis For Computer Forensics Purposes
2014
International audience; To determine the circumstances of an incident, investigators need to reconstruct events that occurred in the past. The large amount of data spread across the crime scene makes this task very tedious and complex. In particular, the analysis of the reconstructed timeline, due to the huge quantity of events that occurred on a digital system, is almost impossible and leads to cognitive overload. Therefore, it becomes more and more necessary to develop automatic tools to help or even replace investigators in some parts of the investigation. This paper introduces a multi-layered architecture designed to assist the investigative team in the extraction of information left in…
Enhancing scientific information systems with semantic annotations
2013
International audience; Scientific Information Systems aim to produce or improve knowledge on a subject through activities of research and development. The management of scientific dat a requires some essential properties. We propose SemLab an architecture that sup ports interoperability, data quality and extensibility through a unique paradigm: semantic annotation. We present two app lications that validate our architecture.