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Intelligent Search Lifecycle Architecture for Mass Media Using SOA

DOI: 10.5923/j.arch.20120204.01

Keywords: SOA, ISLA, Data Mining, Modern Mass Media Industry, Data Warehousing

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Abstract:

Mass communication in general and mass media specifically confront rising challenges to collect information faster at lower cost. These challenges must be coordinated with organization’s strategic, tactical, and operational needs via the alignment of Information Technology (IT) with the business strategy. A successful IT strategic plan is based on four main priorities. These are IT-Mass media alignment escalation, IT governance enhancement, IT significance improvement, and IT investments grade. In this study, the IT strategic plan follows a timetable via a roadmap and is exposed to alteration based on the business process changes. The development of IT strategic plan consists of five phases. These phases include the purpose of the plan, the business requirement, and the business requirements’ validation. The phases also include the procedures needed for eliminating the gaps between the state of “to be” and the IT processes state, and the plan approval. The ultimate goal is a Modern Mass Media Industry. This paper provides an innovative solution to accomplish this goal by accelerating mass media processes time. The process’ time is accelerated via an Intelligent Search Lifecycle Architecture (ISLA); which integrates Search Engine, Information Extraction, Information Retrieval, Data Mining and Data Warehouse using Service-Oriented Architecture (SOA). The design methodology of the study of this solution is a post-positivist approach to empirical research. A prototype is created and examined in order to validate the concepts.

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