A key line of research for the remainder of the project will be the use of domain-specific ontologies and reasoning to allow retrieval and suggestions to the user based on domain-specific knowledge - for example, knowledge about similarities of traffic light installations based on their properties (type of road junction, traffic density, etc). A generic ontology plus sub-ontologies for documents and contacts have been developed. These ontologies allow the agents to communicate together and to perform reasoning. Underlying the operation of the Pellucid agents is a collection of ontologies, representing the structure and relationships of aspects of organisations and processes. Consejería de la Presidencia, Junta de Andalucía (regional government in the south of Spain): management and resolution of problems with fixed telephony systems.Mancomunidad de Municipios del Bajo Guadalquivir (an association of local governments in the south of Spain): management of projects and services.Comune di Genova (Italy), Traffic and Mobility Directorate: planning and installation of traffic lights in the city.The three pilot applications within the project, though very different in character, all exhibit these three needs for knowledge management. Knowledge in these areas can be key to effective and efficient working in many routine and non-routine tasks: for example, where to find documents that can be used as models for a new case who to contact in external organisations, or internally someone who has done a similar task before how long to expect certain interactions to take. The initial focus of the knowledge management offered by Pellucid is on document management, contact management and critical timing management. A Capitalisation Agent has the job of building new knowledge from the organisational memory: for example, using data mining to detect patterns of usage of documents in processes. The Role Agent is responsible for assessing the users need based on the context in the work process the Task Agent and Information Search Agent are responsible for searching for information to satisfy that need while the Personal Assistant Agent deals with presenting it in a personalised way to the user. Different classes of agents have distinct responsibilities in seeking and presenting timely and appropriate information to the user. This approach is extremely well suited to a complex problem such as knowledge management. The Pellucid project has chosen to use autonomous software agents as the basis for its customisable platform. ![]() This is what sets the experienced member of staff apart from the newly arrived one, and is a classic knowledge management problem. A frequent phenomenon is organisational mobility, in which employees move from one department or unit to another, taking some of their acquired knowledge with them, but at the same time needing to acquire more knowledge about the new working environment. Public administrations carry out a huge variety of tasks in the life of their country, but despite this variety they often have certain things in common in their working practices. That describes the vision of the Pellucid project in aiming to create a software platform for knowledge management for public employees. The English word pellucid means transparent or translucent extremely clear in style and meaning (Collins English Dictionary). Leading-Edge Knowledge Management for Public Employees
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |