Enhanced Knowledge Warehouse
نویسندگان
چکیده
IntroductIon Enhanced knowledge warehouse (eKW) is an extension of the enhanced data warehouse (eDW) system (Abramowicz, 2002). eKW is a Web services-based system that allows the automatic filtering of information from the Web to the data warehouse and automatic retrieval through the data warehouse. Web services technology extends eKW beyond the organization. It makes the system open and allows utilization of external software components, thus enabling the creation of distributed applications. The enhanced knowledge warehouse is an add-in to the existing data warehouse solutions that offers a possibility of extending legacy data-based information resources with processed information acquired from Web sources of business information. eKW is characterized by transparent filtering and transparent retrieval. The system automatically acquires interesting documents from Web and internal sources and enables business users, who view data warehouse reports, to access these documents without the necessity of formulating any document retrieval queries. Instead, the system takes advantages of meta-information stored in business metadata and data warehouse reports, and builds and runs appropriate queries itself. The system also has an event-alerting capability. eKW, by design, is a part of the semantic Web. The main role of eKW in the semantic Web is mediation between the world (external information) and internal information systems utilized within the organization. One of the most popular ways of conforming to semantics is to use ontologies, which provide a means for defining the concepts of the exchanged data. eKW is a kind of data 1030 Enhanced Knowledge Warehouse mediator that employs ontologies as a conceptu-alization layer (W'cel, 2003).
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