Titlebook: On the Move to Meaningful Internet Systems: OTM 2012 Workshops; Confederated Interna Pilar Herrero,Hervé Panetto,Tharam Dillon Conference p

灌溉

Enterprise Integration and Economical Crisis for Mass Craftsmanship: A Case Study of an Italian Furn The aim of the paper is to provide a clear analysis of the existing problems and constraints, in the light of the project to design the transition toward a new-defined “mass craftsmanship” configuration of the company.

decipher

火車車輪

撤退

Handedness

A Toolkit for Choreographies of Services: Modeling, Enactment and Monitoringtoolkit provides a way to design a choreography, execute it on an Enterprise Service Bus and finally to monitor it. A Model to Model (M2M) top-down approach is implemented. We illustrate our purpose thanks to a business use case inspired from the CHOReOS European Project.

地殼

mendacity

Improving Efficiency of Data Intensive Applications on GPU Using Lightweight Compressionwhen compared to traditional CPU (central processing unit) based libraries. However, for data intensive applications this benefit may be much smaller or may completely disappear due to time consuming memory transfers. Up to now, gain from processing on the GPU was noticeable only for problems where

大洪水

Towards a Trust and Reputation Framework for Social Web Platformsto trust and how much to trust a transaction. They are also an effective mechanism to encourage honesty and cooperation among users, resulting in healthy online markets or communities. The basic idea is to let parties rate each other so that new public knowledge can be created from personal experien

GIST

Social Emergent Semantics for Personal Data Management task. People have found their own ways to organize their personal data, such as categorizing files in folders, labeling emails etc. This is acceptable to a certain degree, since we have to deal with have some (human) difficulties such as our limited capacity of categorization and our incapacity of

辭職

Extracting a Causal Network of News Topicsformation. To mitigate this challenge we propose generating a network of causally related news topics to help the user understand and navigate throughout the news. We assume that by providing the causes or effects of a news topics, the user will be able to relate current news to past news topics tha