Document management is not often handled appropriately by organisations, if at all. Despite that, and despite the lack of structure in documents, organisations must face regulations that require owning a document collection with semantic content. The technique based on taxonomies and folksonomies can easily produce an adequate semantic classification for documents. It requires an adequate setup among the domain experts that apply it. The approach we propose uses Lean Kanban to coordinate the phases of definition, validation and implementation of taxonomies and folksonomies. It helps organisations to create a semantic classification of existing document resources, making them ready to be used in ways that were not possible before. At the same time, it helps to improve the quality of work of the organisation itself, adding speed to document search
We present FAME (Filter, Analyze, Measure and Evaluate), a simplified approach for Open Source software assessment. This approach has been derived by more heavyweight, proven approaches developed in a University research environment, to match the needs of small organizations. The proposed approach has been developed by CC-ICT-SUD, a consortium for the delivery of technology transfer services, and for transferring advanced methodologies for software evaluation and assessment from academic to industrial contexts, in particular for Small and Medium Enterprises (SME). The FAME methodology is briefly described, and a case study involving the choice of a document management system for a SME is presented, showing how the approach can be used
Nowadays, public administration offices are faced with long and complex procedures. Frequently used tools such as email clients and document systems are seldom integrated. This leads to problems like slowness, large quantities of paper documents, redundancies, high operational costs, and a low level of citizen participation. Google Apps try to fill that gap by providing an integrated and usable environment, but it is not enough for typical public administration applications, where the existing IT system has to be taken into account. The aim of this project is to create a Software as a Service (SaaS) platform, based on open-source components and integrated with Google Apps. With such a platform, public institutions and companies could use an environment in which to work on the most frequent tasks. From an innovative point of view, the project uses the latest technologies and the latest patterns in both planning and development.
The growing complexity of the construction sector – due to the proliferation of products, techniques, and\ud needs related to side, not secondary, aspects of objects (environmental impact, energy efficiency, durability,\ud safety, etc.) – means that the current management styles in construction processes are no longer appropriate\ud to their context. Therefore, the construction sector faces an inevitable process of growth in which\ud knowledge is an indispensable resource. The purpose of this paper is to show how knowledge associated\ud with construction processes can be represented using Knowledge Management techniques. The analysis of\ud such knowledge uses a mixed top-down and bottom-up approach, which can formalize it and make it ready\ud for easy access and search. The underlying goal is the rational organization of large amounts of data using\ud the knowledge that characterizes the various stages of a construction process. Elementary Products could be\ud the core concepts that can group the objects associated with such process, guiding the management of\ud relevant information and knowledge involved in construction processes. The formalization was used to\ud define a prototype implementation of the Knowledge Management System using DSpace
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