6. A computer-implemented data processing system comprising: means for storing one or more resource description framework (RDF) queries, each query being assigned information identifying an enterprise resource planning system; means for receiving information identifying an enterprise resource planning system; means for selecting one or more predefined resource description framework (RDF) queries based on the received identification information and a type of data source linked to a Semantic Web; means for extracting data from the data source linked to the Semantic Web by executing one or more of the selected predefined resource description framework (RDF) queries, wherein an extraction procedure is selected based on a type of the data source such that a feed reader is used to extract the data when the data source is of a first type and a data extractor is used to extract the data when the data source is of a second type, the first type being a Really Simple Syndication (RSS) feed; means for forwarding the extracted data to the enterprise resource planning system; means for determining when the extracted information includes new data that is of interest to a service customer; means for using the data extracted as a trigger for processing the data for performance of the enterprise resource planning system; means for sending an event message, alerting the service customer of the new data, to the service customer when it is determined that the new data is of interest to the service customer; and means for storing information indicating one or more sources from the semantic web that contained the new data causing the event message to be sent, wherein the table further stores an update frequency for the one or more resource description framework (RDF) queries, the update frequency specifies the periodicity with which a given query is to be performed, and the update frequency is determined respective to the proportion to the frequency of change of the data to be extracted from the Semantic Web.
6. A computer-implemented data processing system comprising: means for storing one or more resource description framework (RDF) queries, each query being assigned information identifying an enterprise resource planning system; means for receiving information identifying an enterprise resource planning system; means for selecting one or more predefined resource description framework (RDF) queries based on the received identification information and a type of data source linked to a Semantic Web; means for extracting data from the data source linked to the Semantic Web by executing one or more of the selected predefined resource description framework (RDF) queries, wherein an extraction procedure is selected based on a type of the data source such that a feed reader is used to extract the data when the data source is of a first type and a data extractor is used to extract the data when the data source is of a second type, the first type being a Really Simple Syndication (RSS) feed; means for forwarding the extracted data to the enterprise resource planning system; means for determining when the extracted information includes new data that is of interest to a service customer; means for using the data extracted as a trigger for processing the data for performance of the enterprise resource planning system; means for sending an event message, alerting the service customer of the new data, to the service customer when it is determined that the new data is of interest to the service customer; and means for storing information indicating one or more sources from the semantic web that contained the new data causing the event message to be sent, wherein the table further stores an update frequency for the one or more resource description framework (RDF) queries, the update frequency specifies the periodicity with which a given query is to be performed, and the update frequency is determined respective to the proportion to the frequency of change of the data to be extracted from the Semantic Web. 7. The data processing system of claim 6 , wherein each query has an assigned schedule of repetition.