ISP-3 Data streams within collaborative environments Sample Clauses

ISP-3 Data streams within collaborative environments. To increase efficiency in information exchange in collaborative environments, the involved organizations need to be able to do or provide the following:  use a shared vocabulary (GSO – general social ontology)  agree upon a social communication protocol  establish trust levels  specify rules and policies for access control and IPR management  collaborate Potential applications using the above are for instance foreseen at Hägglunds Drives for pre-sales decisions and sales activities, system dimensioning work, work related to system reconfiguration when the system has been deployed at a customer site, as well as for support for maintenance and trouble shooting. Sandvik Coromant sees potential that the points above will make information exchange more reliable and efficient when collaborating with business partners. Volvo CE sees a high of potential using the above results in applications where on the one hand user onsite and on the other hand central located user groups communicate and collaborate. In general it can be stated that due to globalization efforts in the entire industry the importance to support collaboration processes is steadily growing. Where ever data streams are involved suited collaboration solutions need to be existing. SmartVortex can close this gap and provide with its research results solutions that can be used in all data stream oriented collaboration efforts, regardless of the industry section or domain.
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ISP-3 Data streams within collaborative environments. Title of KPI Shared Vocabulary Defined A general social ontology(GSO) is selected and extended with terms required for engineering oriented collaboration Measured Delivery date Target Selection done Title of KPI Trust levels Defined The rule engine allows to access collaboration data in a different way depending on the trust level Measured Trust levels can be defined and selected during ISP3 demo
ISP-3 Data streams within collaborative environments. Finding experts within a company for any kind of problem is a complex and time consuming task. Few isolated applications for expert finding exist, however the demand for effective solutions keep on being a non-trivial task [cf. M06, PC08, S09, ZT10]. Numerous factors are involved in the indication process that designates the right person as expert for being a part of a problem solution. The bases for such a designation process are all accessible and relevant information about the expertise of a possible candidate. Such information could be the persons profile, data from collaborative tasks, role in a specific environment or the involvement in production processes (e.g. design, development, production or testing), but are not limited to those. On top of an ontology based representation of such data, Entity/Relationship search approaches could be applied in order to support expert finding and hence maintenance tasks or decision making process. DataStream DataSource SimulationStream ValidationStream RawDataStream DerivedStream CollaborationStream StoredStream MetaData OperationalData StoredData

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