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E. who are the users and resource providers, what motivates them to use and provide resources, and what are the social and business rules that govern their interaction, 31 32 4 Model for the Simulation and Evaluation Platform 2. the available resources together with their semantic annotations, and 3. g. description logic reasoners, rule engines, ontology managers, etc) and how they are used. In turn, such assumptions specify implicit requirements about the technology. For example, in travel use cases, travel consumers typically specify a set of preferences in terms of maximum price, dates, time length of the travel, etc.

1 Support for the operation component We implemented the following set of support tools for supporting the simulation of service discovery operations: • The description of the different categories of agents that typically take part in the operation of service discovery. 2). 3). – An API description of each agent category in terms of the minimal set of functions that they must provide, and the minimal set of messages that each agent is expected to be able to interpret. – An illustrative implementation of one Semantic Web simulation corresponding to the travel scenario introduced in Chapter 3.

Below, we describe each module and its use of the different knowledge sources. Query Generation is the process that supports the generation of a query for Web services and is responsible for the two-step translation performed by the sButler. During the first translation step, the sButler uses the task description provided by the organization to create an internal representation of the task. It uses the organization’s Domain knowledge as well as Transaction, Process knowledge, and Query knowledge.

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