936 research outputs found

    ASPICO: Advanced Scientific Portal for International Cooperation on Digital Cultural Conten

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    * This research is partially supported by a grant (bourse Lavoisier) from the French Ministry of Foreign Affairs (Ministère des Affaires Etrangères).In this paper, we present the development of an advanced open source multi-lingual cooperative portal system (ASPICO) dedicated to semantic management, and to cooperative exchange for research and education purpose on digital cultural projects. Advantages of using ASPICO include greater flexibility for digital resource management, generic and systematic ontology-based metadata management, and better semantic access and delivery based on an innovative Information Modeling for Adaptive Management (IMAM)

    D7.3 Training materials

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    This Deliverable gives a detailed description of the comprehensive training programme and of the open educational content that the University of Padua has accomplished up to now for the project "Linked Heritage: Coordination of standard and technologies for the enrichment of Europeana" (CIP Best Practice Network). The final version of D7.3 will be released by the end of the project, when all the Learning Objects will be finished

    Managing Assessment Resources in the Open ICOPER Content Space

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    With the introduction of the Web 2.0 philosophy in the learning arena, the way learning actors interact has changed substantially. From a collaborative perspective, all the actors in the learning landscape could make use of a variety of tools for collaboration, making up what it is called: "collaborative learning 2.0." In this chapter, the discussion is focused on the open educational resources (OER), concretely open assessment resources, i.e., open resources used in the assessment process (formative and/or summative). The authors explore the way to create, share, search, manage, and access to these resources; all these actions are described from the context of collaboration inherited from the Web 2.0 paradigms: collaboration among teachers and course designers, teachers and learners, and any other factors that could arise in the assessment process. On the other hand, the approach to managing the open assessment resources is based on an outcome-based assessment process because of the great importance of the outcome-based learning.This work was partially funded by the Best Practice Network ICOPER (Grant No. ECP-2007-EDU-417007), the Learn3 project, “Plan Nacional de I+D+I” TIN2008-05163/TSI, and the eMadrid network, S2009/TIC-1650, “Investigación y Desarrollo de tecnologías para el e-learning en la Comunidad de Madrid”Publicad

    Persistent Data Structures for Incremental Join Indices

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    Join indices are used in relational databases to make join operations faster. Join indices essentially materialise the results of join operations and so accrue maintenance cost, which makes them more suitable for use cases where modifications are rare and joins are performed frequently. To make the maintenance cost lower incrementally updating existing indices is to be preferred. The usage of persistent data structures for the join indices were explored. Motivation for this research was the ability of persistent data structures to construct multiple partially different versions of the same data structure memory efficiently. This is useful, because there can exist different versions of join indices simultaneously due to usage of multi-version concurrency control (MVCC) in a database. The techniques used in Relaxed Radix Balanced Trees (RRB-Trees) persistent data structure were found promising, but none of the popular implementations were found directly suitable for the use case. This exploration was done from the context of a particular proprietary embedded in-memory columnar multidimensional database called FastormDB developed by RELEX Solutions. This focused the research into Java Virtual Machine (JVM) based data structures as the implementation of FastormDB is in Java. Multiple persistent data-structures made for the thesis and ones from Scala, Clojure and Paguro were evaluated with Java Microbenchmark Harness (JMH) and Java Object Layout (JOL) based benchmarks and their results analysed via visualisations
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