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COMBINING SEMANTIC TECHNOLOGIES AND DATA MINING TO ENDOW BSS/OSS SYSTEMS WITH INTELLIGENCE - Particularization to an International Telecom Company Tariff System

机译:将语义技术与数据挖掘结合起来赋予智力的BSS / OSS系统 - 专题化对国际电信公司关税制度

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Businesses need to "reduce costs" and improve their "time-to-market" to compete in a better position. Systems must contribute to these two goals through good designs and technologies that give them agility and flexibility towards change. Semantics and Data Mining are two key pillars to evolve the current legacy systems towards smarter systems that adapt to changes better. In this article we present some solutions to evolve the existing systems, where the end user has the possibility of modifying the functioning of the systems incorporating new business rules in a Knowledge Base.
机译:企业需要“降低成本”并改善他们的“上市时间”,以便在更好的位置竞争。系统必须通过良好的设计和技术促进这两个目标,这为他们提供了敏捷性和改变灵活性。语义和数据挖掘是两个关键支柱,可以向更好地改变变化的智能系统发展当前的传统系统。在本文中,我们提供了一些解决方案来发展现有系统,最终用户可以在知识库中修改包含新业务规则的系统的功能。

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