III: Small: Personalized Inconsistency Resolution in Online Databases

RICOLLA项目管理由在线社区协作维护的结构化数据库中的不一致。RICOLLA在存在不一致的情况下仍能完全发挥作用，实现了“随用随用”的一致性。RICOLLA允许用户协作解决某些冲突，同时在其他冲突上存在分歧。建立Ricolla涉及以下技术贡献：a)允许不一致的新体系结构，允许数据查询和更新，同时帮助社区成员解决不一致；b)向用户解释不一致的数据模型和接口；c)允许每个用户解决单个数据不一致的一组解决操作；d)基于高级标准总结一组解决操作的解决策略语言；以及e)在关系数据库管理系统之上实现系统的一组算法。由此产生的技术和原型有助于下一代在线数据库的基础设施。这使需要协作编辑结构化数据的各种在线社区受益，范围从科学领域到数字政府和社交网络。RICOLLA的评估包括两个科学社区(生物学家和地球科学家)和加州大学圣迭戈分校的学生参加数据库课程作为用例。直接部署在教学中既可以改善学生的在线协作，也可以收集他们的反馈，以便RICOLLA进行评估和调整。这项研究的出版物、技术报告、软件和实验数据可在项目网站http://db.ucsd.edu/ricolla.上查阅

The RICOLLA project manages inconsistencies in structured databases maintained collaboratively by an online community. RICOLLA remains fully functional in the presence of inconsistencies, enabling "resolve-as-you-go" consistency. RICOLLA allows users to collaboratively resolve certain conflicts while disagreeing on others. Building Ricolla involves the following technical contributions: a) a novel architecture that tolerates inconsistency, allows data query and update, while aiding inconsistency resolution by community members; b) a data model and interface for explaining the inconsistencies to the users; c) a set of resolution actions that allow each user to resolve individual data inconsistencies; d) a resolution policy language for summarizing a set of resolution actions based on high level criteria; and e) a set of algorithms for implementing the system on top of a relational database management system.The resulting techniques and prototype contribute to the infrastructure for the next generation of online databases. This benefits a variety of online communities who need to collaboratively edit structured data, ranging from the scientific domain to digital government and social networks. RICOLLA's evaluation includes as use cases two scientific communities (biologists and geoscientists) and UCSD students taking database classes. Direct deployment in teaching serves to both improve students' online collaboration and collect their feedback for RICOLLA's evaluation and tuning purposes. Publications, technical reports, software and experimental data resulting from this research are available at the project web site http://db.ucsd.edu/ricolla.