https://biblio.ugent.be/ Ghent University Academic Bibliography 2000-01-01T00:00+00:00 1 monthly https://biblio.ugent.be/publication/01JY3ZV2S62C2CGMX5MDXCNTET Vercruysse, Arthur Rojas Melendez, Julian Andres Colpaert, Pieter 2025 info:eu-repo/date/embargoEnd/2026-10-14 info:eu-repo/date/embargoEnd/2026-10-14 Authoring Semantic Web documents such as ontologies or SPARQL queries is error-prone, often leading to interoperability issues, validation failures, or incorrect reasoning. To address these challenges, we present the Semantic Web Language Server (SWLS), a tool for Semantic Web practitioners that integrates IDE-like functionalities such as real-time syntax validation, intelligent autocompletion, and SHACL-based diagnostics into modern code editors. SWLS follows the Language Server Protocol, allowing seamless integration with popular code editors such as Visual Studio Code and NeoVim, while currently supporting multiple Semantic Web formats including Turtle, JSON-LD and SPARQL. This demo accompanies an accepted ESWC 2025 resource paper and showcases SWLS in an interactive web-based environment, where users can explore its features across four dedicated editor panels: (i) an RDF instance data editor, (ii) an ontology editor, (iii) a SHACL shape editor and (iv) a SPARQL query editor. The demo highlights SWLS's ability to detect syntax and semantic errors, suggest completions based on dereferenced ontologies, and assist users in writing coherent SPARQL queries. By improving the development workflow and addressing common pitfalls, SWLS aims to enhance the usability of Semantic Web technologies and facilitate broader adoption. application/pdf https://biblio.ugent.be/publication/01JY3ZV2S62C2CGMX5MDXCNTET http://hdl.handle.net/1854/LU-01JY3ZV2S62C2CGMX5MDXCNTET http://doi.org/10.1007/978-3-031-99554-5_27 https://biblio.ugent.be/publication/01JY3ZV2S62C2CGMX5MDXCNTET/file/01JY3ZX2GRVNGR37RQ6KTD95ZT https://biblio.ugent.be/publication/01JY3ZV2S62C2CGMX5MDXCNTET/file/01JY3ZX2GRVNGR37RQ6KTD95ZT eng Springer Cham info:eu-repo/semantics/embargoedAccess SEMANTIC WEB : ESWC 2025 SATELLITE EVENTS ISSN: 0302-9743 ISSN: 1611-3349 ISBN: 9783031995538 ISBN: 9783031995545 Technology and Engineering Language Server IDE Tool Linked Open Vocabularies Semantic Web Bringing modern IDE features to Semantic Web formats with the Semantic Web Language Server conference info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion https://biblio.ugent.be/publication/01KGMAFFMSEK1VE7G1A353C5KS Curry, Edward Presutti, Valentina McCrae, John Alam, Mehwish Colpaert, Pieter Parreira, Josiane Xavier Collarana, Diego Sabou, Marta Harth, Andreas Lisena, Pasquale Dedecker, Ruben De Roo, Jos Gonçalves Crisóstomo Esteves, Beatriz Colpaert, Pieter 2025 info:eu-repo/date/embargoEnd/2026-10-14 info:eu-repo/date/embargoEnd/2026-10-14 Actors in Web ecosystems integrating data from multiple sources–such as in the Solid project or in thematic data spaces–must be able to express requirements over a combination of exchanged data and its associated context. Examples include assigning confidence to integrated data, tracking provenance, signing a specific set of statements, or the expression of policies for usage control. Despite earlier attempts, there is no general consensus on how to model such context associations, resulting in a lack of interoperability for exchanging combined context and data across actors. With this paper, we propose a pragmatic modeling approach for context associations, by referencing Blank Node Graphs, thereby enforcing a specific interpretation of the graph name and restricting its definition to a blank node to avoid accidental merging of graphs. We introduce the “RDF context associations” specification, which defines the data model and the interpretation. The demonstrator then showcases both the modeling of context information over given source data and the filtering of the resulting context associations using SPARQL. application/pdf https://biblio.ugent.be/publication/01KGMAFFMSEK1VE7G1A353C5KS http://hdl.handle.net/1854/LU-01KGMAFFMSEK1VE7G1A353C5KS http://doi.org/10.1007/978-3-031-99554-5_11 https://biblio.ugent.be/publication/01KGMAFFMSEK1VE7G1A353C5KS/file/01KGMAGWDE5HF798X1JD4SH7S1 https://biblio.ugent.be/publication/01KGMAFFMSEK1VE7G1A353C5KS/file/01KGMAGWDE5HF798X1JD4SH7S1 eng Springer Cham info:eu-repo/semantics/embargoedAccess SEMANTIC WEB : ESWC 2025 SATELLITE EVENTS ISSN: 0302-9743 ISSN: 1611-3349 ISBN: 9783031995538 ISBN: 9783031995545 Technology and Engineering Linked Data RDF Context Associations Blank Node Graphs personal data Demonstrating a pragmatic solution to context associations in RDF using blank node graphs conference info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion