ConSolid:一个联合的生态系统,用于异构的多涉众项目

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Semantic Web Pub Date : 2023-06-09 DOI:10.3233/sw-233396
Jeroen Werbrouck, Pieter Pauwels, Jakob Beetz, Ruben Verborgh, Erik Mannens
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引用次数: 1

摘要

在许多行业中,多方在一个更大的项目上合作。同时,每个利益相关者同时参与多个独立的项目。因此,可以识别出双重拼凑,参与者和协作项目之间存在多对多关系。一个关键的例子是建筑业,每个项目都是独一无二的,涉及许多子领域的专家,从建筑设计到技术安装,从地理空间信息到政府法规,有时甚至是历史研究。该过程及其结果的数字表示需要这些子域之间的语义互操作性,而这些子域通常处理异构和非结构化数据。在本文中,我们建议通过一个分散的生态系统来解决这种双重拼凑问题,该生态系统用于处理异构信息片段的多利益相关者、多行业协作。这个被称为ConSolid的生态系统的核心是建立在用于Web去中心化的Solid规范之上,但在(元)数据模式级别和微服务级别对这些规范进行了扩展。为了增加数据分配和过滤的稳健性,我们确定需要超越Solid当前的受ldp启发的接口到Solid Pod,并引入元数据生成的“虚拟视图”的概念,将使用访问控制的SPARQL接口生成到Pod。提出了一种递归的、可伸缩的方式来发现多vault聚合,以及以一种与中介类型无关的方式跨vault连接和对齐异构(RDF和非RDF)资源的数据模式。我们使用最小的运行示例演示了生态系统的使用和好处,最后设置了一个来自建筑、工程、建筑和运营(AECO)行业的示例用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ConSolid: A federated ecosystem for heterogeneous multi-stakeholder projects
In many industries, multiple parties collaborate on a larger project. At the same time, each of those stakeholders participates in multiple independent projects simultaneously. A double patchwork can thus be identified, with a many-to-many relationship between actors and collaborative projects. One key example is the construction industry, where every project is unique, involving specialists for many subdomains, ranging from the architectural design over technical installations to geospatial information, governmental regulation and sometimes even historical research. A digital representation of this process and its outcomes requires semantic interoperability between these subdomains, which however often work with heterogeneous and unstructured data. In this paper we propose to address this double patchwork via a decentralized ecosystem for multi-stakeholder, multi-industry collaborations dealing with heterogeneous information snippets. At its core, this ecosystem, called ConSolid, builds upon the Solid specifications for Web decentralization, but extends these both on a (meta)data pattern level and on microservice level. To increase the robustness of data allocation and filtering, we identify the need to go beyond Solid’s current LDP-inspired interfaces to a Solid Pod and introduce the concept of metadata-generated ‘virtual views’, to be generated using an access-controlled SPARQL interface to a Pod. A recursive, scalable way to discover multi-vault aggregations is proposed, along with data patterns for connecting and aligning heterogeneous (RDF and non-RDF) resources across vaults in a mediatype-agnostic fashion. We demonstrate the use and benefits of the ecosystem using minimal running examples, concluding with the setup of an example use case from the Architecture, Engineering, Construction and Operations (AECO) industry.
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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
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