A quest for beauty and wealth (or, business processes for database researchers)

Daniel Deutch, T. Milo
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引用次数: 22

Abstract

While classic data management focuses on the data itself, research on Business Processes considers also the context in which this data is generated and manipulated, namely the processes, the users, and the goals that this data serves. This allows the analysts a better perspective of the organizational needs centered around the data. As such, this research is of fundamental importance. Much of the success of database systems in the last decade is due to the beauty and elegance of the relational model and its declarative query languages, combined with a rich spectrum of underlying evaluation and optimization techniques, and efficient implementations. This, in turn, has lead to an economic wealth for both the users and vendors of database systems. Similar beauty and wealth are sought for in the context of Business Processes. Much like the case for traditional database research, elegant modeling and rich underlying technology are likely to bring economic wealth for the Business Process owners and their users; both can benefit from easy formulation and analysis of the processes. While there have been many important advances in this research in recent years, there is still much to be desired: specifically, there have been many works that focus on the processes behavior (flow), and many that focus on its data, but only very few works have dealt with both. We will discuss here the important advantages of a holistic flow-and-data framework for Business Processes, the progress towards such a framework, and highlight the current gaps and research directions.
对美丽和财富的追求(或者,数据库研究人员的业务流程)
传统的数据管理关注的是数据本身,而对业务流程的研究还考虑生成和操作数据的上下文,即流程、用户和数据所服务的目标。这使分析人员能够更好地了解以数据为中心的组织需求。因此,这项研究具有根本性的重要性。在过去十年中,数据库系统的成功很大程度上归功于关系模型及其声明性查询语言的优美和优雅,结合了丰富的底层评估和优化技术,以及高效的实现。这反过来又为数据库系统的用户和供应商带来了经济财富。在业务流程的上下文中也寻求类似的美丽和财富。就像传统的数据库研究一样,优雅的建模和丰富的底层技术很可能为业务流程所有者及其用户带来经济财富;这两种方法都可以从易于制定和分析的过程中受益。虽然近年来该研究取得了许多重要进展,但仍有许多需要改进的地方:具体而言,有许多工作关注过程行为(流),也有许多工作关注其数据,但只有很少的工作处理了两者。我们将在这里讨论业务流程的整体流和数据框架的重要优势,以及朝着这种框架发展的进展,并强调当前的差距和研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.40
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