6809 research outputs found
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Integration Testing Procedures - First Iteration
D7.3 is the third deliverable of Learn PAd Work-Package 7. Its aims to define integration test procedures basing on the use cases "Grant Management" and "Sportello Unico Attivit? Produttive". The integration test procedures plan is described in terms of Objective, Prerequisite Tests, Involved Modules, Procedure, Inputs, Expected Outputs and Results, and Status. This plan is organized in a bottom up-like approach and has to be defined for all the released software
Core Platform Implementation
Deliverable D2.2 consists of a first version of the Learn PAd core platform. The deliverable is of software nature. In this accompanying documentation we provide a mapping of places and links from where the "official" released version of prototype at M18 can be retrieved, as well as instructions for experimenting it
Annual Progress and Financial Report - First year
This report summarizes the work carried out in the Learn PAd project during the current reporting period that corresponds to the project\u27s first year. The report includes the following data: - Learn PAd publishable summary; - Learn PAd objectives for the current reporting period as described in the project\u27s Description of Work, including work progress and achievements at the work package level; - Deliverables and Milestones tables; - Learn PAd project management details and explanation of the use of resources, and Progress reporting, including per-partner resource consumption, given as an appendix to the document
Design and Initial Implementation of Metamodels for Describing Business Processes in Public Administrations
This deliverable presents the working version of Learn PAd metamodel, which was designed and partially implemented in ADOxx and MagicDraw modeling environments. The metamodel captures the concepts that are used to model process-centric business architecture (process, motivation, organization structure, measurements, etc.) in sufficient detail to be useful for on-the-job learning in public administrations. It also provides the concepts for modeling knowledge objects and competencies in relationship to business architecture, which represents the learning perspective. This metamodel will be used as a platform-independent information structure for Learn PAd platform and will serve as a shared information contract between the platform and its components. The metamodel was designed using a well-defined methodology, which is also described in the deliverable. Learn PAd metamodel is defined in two abstraction levels a conceptual metamodel, which captures only model kinds, and a platform-independent metamodel, which provides detailed concepts and relationships reusing selected parts of the modeling standards such as BMM, BPMN, and CMMN when possible. The interrelationships between the concepts in different metamodels are captured in a separate weaving model in order to enable encapsulation of separate views that could be specified using isolated standard metamodels. Deliverable also contains the analysis of requirements satisfaction in the Learn PAd Platform-Independent Metamodel (LPIMM). The LPIMM is well elaborated and validated with initial examples, but it will still evolve during the project based on the feedback from use case implementations
Semantic Business Process Representation to Enhance the Degree of BPM Mechanization with an Ontology
Business process management is still characterized by a low degree of mechanization. One of the main causes is a lack of an appropriate semantic representation for business process models and execution data unified in a single ontology. Many researchers addressed this problem but the ontologies proposed so far define a proprietary property called occurrenceOf to link a process model to its execution data. In this paper we we propose an alternative approach based on a multilayer representation using an is-a relation instead. This is cognitively more adequate and allows to use standard reasoning mechanisms. We show how OWL-FA enables a semantic representation of the metamodel in an ontology, providing decidable reasoners. We present a case study and we address the semantic issue with a detailed analysis. We show how it is possible to answer some queries with the support of this ontology, demonstrating how our ontology can be a suitable tool to enhance the mechanization of business process management
To each his own: how to provide a library user with an article respecting licensing agreements
This paper describes the state of the art of the Italian ALPE project which aims to improve the understanding of the issues raised by license agreements of electronic resources in the Inter-Library Loan Service and to support librarians in the implementation of the right policies
Special Issue (1988) - Program for the automatic inspection of honeycomb structures composite materials
Piattaforma PharmacoWikilance - Studio Alexandros
PharmacoWikilance (acronym PhiWi) web platform user guide. PhiWi platform supports the management and storage of digital data for pharmacovigilance studies. The Alexandros study is about adverse reactions to antineoplastic drugs
Esopo: sEnsors and SOcial POllution measurements
In the following we present the idea of a smart sensor distributed platform where users collect pollution measurements by simply placing a small smart device out of their office or home window, a device that interacts with their smartphones. They provide time-geolocalized information that, trough an app, will be made available to the community that will have the chance to control the pollution level and eventually share it on the most popular social networks along with the related user?s opinions and feedbacks. The big data coming from sensors and social networks will be analysed, in combination with local setting area data, in order to have a thorough view of the place the people live in and enhance our environmental conscience. The design of such a project, named Esopo, implies and requires technologies capable of providing data privacy, as it deals also with storing sensitive data, and efficiency, being the corresponding output prone to becoming unusable if not produced in real-time
Identification of Web Spam through Clustering of Website Structures
Spam websites are domains whose owners are not interested in using them as gates for their activities but they are parked to be sold in the secondary market of web domains. To transform the costs of the annual registration fees in an opportunity of revenues, spam websites most often host a large amount of ads in the hope that someone who lands on the site by chance clicks on some ads. Since parking has become a widespread activity, a large number of specialized companies have come out and made parking a straightforward task that simply requires to set the domain?s name servers appropriately. Although parking is a legal activity, spam websites have a deep negative impact on the information quality of the web and can significantly deteriorate the performances of most web mining tools. For example these websites can influence search engines results or introduce an extra burden for crawling systems. In addition, spam websites represent a cost for ad bidders that are obliged to pay for impressions or clicks that have a negligible probability to produce revenues. In this paper, we experimentally show that spam websites hosted by the same service provider tend to have similar look-and-feel. Exploiting this structural similarity we face the problem of the automatic identification of spam websites. In addition, we use the outcome of the classification for compiling the list of the name servers used by spam websites so that they can be discarded before the first connection just after the first DNS query. A dump of our dataset (including web pages and meta information) and the corresponding manual classification is freely available upon request