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Dataspaces: Co-existence with Heterogeneity

机译:数据空间:与异质共存

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摘要

Most information management scenarios today rarely have a situation in which all the data that needs to be managed can fit nicely into a single management system, such as a relational database or a knowledge base. Instead, we need to manage a set of loosely connected data sources, and typically face the following recurring challenges: 1. Users want be able to search the entire collection without having knowledge of individual sources. In some cases, they merely want to know where the information exists as a starting point to further exploration. 2. An organization may want to enforce certain rules, integrity constraints, or conventions (e.g., on naming entities) across the entire collection, or track flow and lineage between systems. Furthermore, the organization needs to create a coherent external view of the data. 3. The administrators may want to impose a single "support system" in terms of recovery, availability, and redundancy, as well as uniform security and access controls. 4. Users and administrators need to manage the evolution of the data, both in terms of content and schemas, in particular as new data sources get added (e.g., as a result of mergers or new partnerships). 5. The organization would like to globally capture human interactions with the sources (e.g., querying, excerpting, annotating, co-use) to provide value-added information about semantics, linkages and quality.
机译:当今大多数信息管理方案很少会出现这样一种情况,即需要管理的所有数据都可以很好地适合单个管理系统,例如关系数据库或知识库。相反,我们需要管理一组松散连接的数据源,并且通常面临以下反复出现的挑战:1.用户希望能够在不了解单个数据源的情况下搜索整个集合。在某些情况下,他们只是想知道信息在哪里,作为进一步探索的起点。 2.组织可能想要在整个集合中强制执行某些规则,完整性约束或约定(例如,在命名实体上),或者跟踪系统之间的流程和沿袭。此外,组织需要创建数据的一致外部视图。 3.管理员可能希望在恢复,可用性和冗余以及统一的安全性和访问控制方面强加一个“支持系统”。 4.用户和管理员需要根据内容和架构来管理数据的演变,尤其是在添加新数据源时(例如,由于合并或新的合作关系)。 5.组织希望在全球范围内捕获人与源之间的交互(例如,查询,摘录,注释,共同使用),以提供有关语义,链接和质量的增值信息。

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