Dataspecer (/ˈdeɪtəˌspɛkər/)
Dataspecer is a tool for management of semantic data specifications, from vocabularies and application profiles to derived technical artifacts such as data schemas, validation rules, APIs and application prototypes.
Dataspecer is a tool for management of semantic data specifications, from vocabularies and application profiles to derived technical artifacts such as data schemas, validation rules, APIs and application prototypes.
Define new classes, properties and their relationships as well as their relationships to exisitng vocabularies as semantic data specifications, fostering semantic data interoperability. Dataspecer provides a lightweight editor efficiently supporting the most common needs when creating RDF Schema based vocabularies.
Combine terms from existing vocabularies and adjust them to your specific context, without breaking their original semantics. Dataspecer uses the Data Specification Vocabulary (DSV) to represent context-specific adjustments to existing classes and properties in compliance with the SEMIC Style Guide.
Use your domain ontology or vocabulary to semi-automatically derive semantically compliant data schemas for different data formats such as XML, JSON and CSV and let Dataspecer guide you in the process, fostering technical data interoperability.
The tool is currently in use by the Czech Digital and Information Agency for management of several national data specifications, e.g. for electronic document metadata in XML (in Czech), or the datasets of the Czech Registry of Rights and Duties in RDF and JSON-LD (in Czech).
We are a group of researchers/developers at the Faculty of Mathematics and Physics, Charles University, and at the department of Data Management of the Czech Digital and Information Agency, who are involved in the development of the tool.
Our paper Towards Authoring of Vocabularies and Application Profiles using Dataspecer was presented at the ISWC 2024 conference Posters and Demos session and received a Best Demo award. See the demo for yourself.
Dataspecer was presented as a part of Atlas: A Toolset for Efficient Model-Driven Data Exchange in Data Spaces at MODELS'23 demo session.
Our paper DataSpecer: A Model-Driven Approach to Managing Data Specifications was presented at the ESWC 2022 conference Posters and Demos session.