1. A data processing method, comprising: receiving, at a data extractor, information identifying an enterprise resource planning system; selecting, from a table of the data extractor, 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; extracting, using a processor, 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; processing the extracted data by the enterprise resource planning system; determining when the extracted data includes new data that is of interest to a service customer; using the data extracted as a trigger for processing the data for performance of the enterprise resource planning system; 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 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.