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您的检索式：作者名="Malcolm Atkinson"
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| 1 | 面向对象的数据库系统宣言显示文摘这篇文章试图定义面向对象的数据库系统。它描述了作为一个合格的面向对象的数据库系统所应具备的主要性质和特征。我们把这些特性分成了三组: ·必备的:被称作面向对象的数据库系统所必须满足的特性。它们是复杂对象,对象标识,封装性,类型或类,继承性,结合滞后联编的复载,可扩充性,计算完备性,持久性,辅存管理,并发性,恢复和即席查询功能。·可选的:为了使系统更完善可添加的而非必备的特性。它们是多重继承性,类型检查和推理,分布,设计事务处理和版本。·开放的:设计人员可以选择的特性。它们是程序设计范例,表示系统,类型系统及一致性。我们的立场是,不祇望上述看法成为一个里程碑,以便为进一步的讨论指明方向。 | Malcolm Atkinson Francois Bancilhon David Dewitt Klaus Dittrich David Maier Stanley Zdonik 王宗斌 王珊 | 1990 | 计算机科学1990，17，3： | 3 |
| 2 | Effect of soil cultiva- tion and plant spacing on the growth and cropping of strawberry 显示文摘 | CAROL M MALCOLM G ATKINSON D | 1988 | Scientia Horticulture1988，37，1： | 1 |
| 3 | Types and persistence in database programming lagnguages显示文摘 | Malcolm P Atkinson | 1987 | ACM Computing Surveys (ACSR)1987，19，2： | 1 |
| 4 | S-ProvFlow.Storing and Exploring Lineage Data as a Service显示文摘We present a set of configurable Web service and interactive tools,s-ProvFlow,for managing and exploiting records tracking data lineage during workflow runs.It facilitates detailed analysis of single executions.It helps users manage complex tasks by exposing the relationships between data,people,equipment and workflow runs intended to combine productively.Its logical model extends the PROV standard to precisely record parallel data-streaming applications.Its metadata handling encourages users to capture the application context by specifying how application attributes,often using standard vocabularies,should be added.These metadata records immediately help productivity as the interactive tools support their use in selection and bulk operations.Users rapidly appreciate the power of the encoded semantics as they reap the benefits.This improves the quality of provenance for users and management.Which in turn facilitates analysis of collections of runs,enabling users to manage results and validate procedures.It fosters reuse of data and methods and facilitates diagnostic investigations and optimisations.We present S-ProvFlow's use by scientists,research engineers and managers as part of the DARE hyper-platform as they create,validate and use their data-driven scientific workflows. | Alessandro Spinuso Malcolm Atkinson Federica Magnoni | 2022 | Data Intelligence2022，4，2： | 0 |
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