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Optique: Simple, Oil Gas-oriented Access to Big Data in Exploration

机译:Optique:简单,石油和天然气的探视进入大数据

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The growth of available information sources in the industry requires new efficient methods for data access by end-users whose ability to analyse data is at the core of making business decisions. Data analysis suffer from end-users' ability to efficiently clean and integrate and query data spread across a multitude of different data sources. Current centralised approaches, where an IT expert translates the requirements of domain experts into Extract-Transform-Load (ETL) processes to integrate the data and to apply predefined analytical reporting tools, are too heavy-weight and inflexible. To support interactive and efficient data exploration directly by domain experts, without IT expert involvement, a more flexible and modular information systems architecture is needed. The Optique platform reduces the time and cost of data access dramatically by automating the process of translating an information requirement into the retrieval of the relevant data. The key to this automated translation is Ontology-Based Data Access (OBDA), where the central idea is to use an ontology, a semantically rich conceptual model of the problem domain, and mappings, that describe the relationship between the ontology and the data sources, to allow users to formulate queries and receive answers in a domain-centric and intelligible form, without any knowledge of the implementational details of the data sources. We present the Optique platform as a next generation OBDA system featuring user-friendly query formulation interface(s), automated query translation over multiple sources using novel ontology and mapping management components, and distributed query optimisation and execution exploiting cloud resources for scale-out. At Statoil Exploration, the Optique platform integrates multiple large and complex data sources from different vendors, and allows G&G experts to execute and present detailed information needs in the subsurface domain directly into existing expert client tools and also into web portals for easy information distribution of central assets across the enterprise.
机译:行业中可用信息来源的增长需要新的高效方法,以便通过终端用户进行数据访问,其分析数据的能力是制定业务决策的核心。数据分析遭受最终用户的能力,其有效地清洁和集成和查询跨越多个不同数据源的数据。目前的集中方法,IT专家将域专家的要求转化为提取物 - 变换负载(ETL)过程,以集成数据并应用预定义的分析报告工具,其太重而且不灵活。为了支持域专家直接支持互动和高效的数据探索,没有IT专家参与,需要更灵活和模块化的信息系统架构。 Optique平台通过自动将信息要求转换为相关数据的检索来急剧降低数据访问的时间和成本。此自动转换的关键是基于本体的数据访问(OBDA),其中中心想法是使用本体,一个问题域和映射的语义上丰富的概念模型,描述了本体和数据源之间的关系,允许用户以域为中心和可辨认的形式在没有任何关于数据源的实施细节的知识的情况下制定查询并接收答案。我们目前的OPTIQUE平台作为下一代OBDA系统,其特点用户友好的查询制定接口(一个或多个),采用新颖的本体和映射管理部件自动查询翻译在多个源和分布式查询优化和执行利用云资源为向外扩展。在atTique探索中,Optique平台从不同的供应商集成了多个大型和复杂的数据源,并允许G&G专家直接在现有专家客户端工具中执行和呈现详细信息需求,并进入Web门户,以便于中央的信息分布。整个企业的资产。

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