Design And Implementation Of Ambient Business Intelligence Awareness System Based On SOA

With the development and wide application of cloud computing and Internettechnology, open Internet distributed resources, based on service and social elements,which adapt large-scale server clusters as storage medium, high-speed Internetequipment as the transport carrier, have become the largest number of the mostabundant species information resources in the world. However, due to the uncertaintyand mass characteristics of resources, there is more difficult to gain thedomain-specific information directly or indirectly, and the cost of getting rid ofgarbage and redundant information become higher and expansion of the ITinfrastructure and software systems become extensive. Therefore, it is an importantresearch and development trend on howto aware, track, and apply information andservices (products, technology, patents, finance, financial, SNS (Social NetworkingServices) resources, medical information) with commercial value from the distributedsources of information by automatic or semi-automatic way.Based on traditional information collection and Web information extractiontechnology, andopen service-oriented software architecture, we design and implementbusiness intelligence awareness system for domain specific knowledge based on SOA(Service-oriented architecture). The main work is:(1) Design an open software architecture (Business Intelligence Oriented SOA,BIOSOA) for the field of business intelligence. In this paper,a service-orientedarchitecture which can be evaluatedsustainablly, supporting developmentin pluginsway, and system functional components can be configured dynamically in order toreduce IT costs and build a harmony software ecosystem (Software, the Ecosystem).(2) ABIAS (Ambient Business Intelligence Awareness System) is designed andimplemented according to BIOSOA architecture reference model. This paper in detaildiscuss and study on how aware domain knowledge from distributed data sources,modeling of the establishment, and how to transfer modules of traditional awarenesssystem into service components. The system covers the service of distributedinformation sources management, domain specific database modeling, the corealgorithm components service component, configurable crawler service component,extraction component, data warehouse design and implementation, user-friendlyreports service, Web services implementation and integration.