International audienceWith the proliferation of Web services, it is becomingincreasingly important to support the users in selecting themost appropriate compositions of services for a task. We proposea new service discovery and selection framework that utilises theconcept of task memories and a social network of task memories.A task memory captures the service composition history and theirmeta-data such as associated context and user rating. A networkof task memories is formed to realise an effective task memorysharing platform among the users. The service selection processrecommends combinations of services that are most appropriatein a given context by consulting the network of task memories.The continuous updates of the task memories over time will resultin more fine-tuned recommendations for composite services
