Metadata for RDF Statements: The RDF-star Approach
Chapters: San Francisco / Bay Area, New York, London, Milano, Oslo, Zürich and Berlin
Registered Participants: 289 / ~200 attendees
The lack of a convenient way to capture annotations and statements about individual RDF triples has been a long standing issue for RDF. Such annotations are a native feature in other contemporary graph data models (e.g., edge properties in the Property Graph model). In recent years, the RDF* approach has emerged to address this limitation of RDF. After RDF* gained traction among both vendors and users of RDF systems, a community group has formed to produce a specification of the approach, now called RDF-star. In February 2021, the group published a first working draft of this spec, which is accompanied by several test suites. In this presentation we will introduce the approach and the various features that it adds to RDF and SPARQL.
Pierre-Antoine is a W3C fellow, and an associate professor at Université de Lyon (France), currently in a sabbatical at ERCIM. His research is centered on Knowledge Representation in the context of the Web of Linked Data, and applied to various fields such as media annotation, learning analytics and IoT. He has been involved in a number of Semantic Web-related groups of W3C, including RDF1.1, Linked Data Platform, and JSON-LD1.1 (as a co-editor). He recently joined the W3C Strategy team, where he focuses on the topic of data interoperability on the Web.
Olaf is an Associate Professor in Computer Science at Linköping University, Sweden. He is interested in problems related to the management of databases and knowledge. His focus in this broad context is on data on the Web (Semantic Web and Linked Data, in particular) and on graph data, as well as on problems in which data is decentralized and distributed over multiple, autonomous and/or heterogeneous sources (keywords: federated data management, federated knowledge graphs). Currently, Olaf is co-editor of the RDF-star community group report.
Session-Level: Intermediate-Advanced Session-Type: Technology-Standards Session-Language: English