Data protection and GDPR, consent, contracts and licences, cybersecurity and legal knowledge.
The Data Privacy Vocabulary provides an ontology (classes and properties) and taxonomies of concepts to represent information regarding how personal data is processed in the form of an ontology or a knowledge graph.
OntoBPR is an ontology developed for expressing a back pressure regulator.
OntoPlanningRegulation is an ontology developed to describe the regulations imposed for urban planning purposes.
An all-in-one publication version of the Structural Sustainability Compliance Ontology, integrating the SSCO-Core, SSCO-BFI, and SSCO-SCC modules.
PRISM extends AIRO (AI Risk Ontology), the W3C Data Privacy Vocabulary (DPV) 2.3, and its EU AI Act extension (eu-aiact) with structured mappings from legal obligations to compliance record types, sector-specific interpretations, and attestation workflows. It is designed to underpin audit-grade AI governance record-keeping for providers and deployers of AI systems under the EU AI Act.
FiCR, Fire Compliance and Risk Analysis, is a domain specific semantic model designed to represent fire safety and fire risk relevant physical objects, building elements, equipment, functional roles, and their relationships in existing buildings. It supports a structured and interoperable representation of both passive and active fire protection measures, as well as risk related attributes and performance outcomes, enabling compliance assessment, fire risk analysis, and inspection activities throughout the building operation and maintenance phase.
Encodes EU AI Act risk categories, obligations, exceptions, and transparency requirements. Aligned with AIRO and VAIR ontologies.
The Semantic Web for Earth and Environmental Terminology (SWEET) ontology for Representation Scientific Law
The Semantic Web for Earth and Environmental Terminology (SWEET) ontology for State Role Trust
The AIUP profile assists in expressing rules over use of an AI system by enabling representing its intended purpose as policies where intended uses, conditions of use, and precluded uses can be expressed.
A BFO- and IAO-aligned ontology for anti-doping regulatory information, distinguishing normative documents, regulatory designations, procedural occurrents, and records of decisions.
The Container Security Risk Ontology (CSRO) provides a formal vocabulary for modeling security risks in containerized deployments, particularly in operational technology (OT) contexts. This ontology includes both the conceptual schema and concrete instances with enhancements for attack techniques and dynamic risk assessment. Integrated with MITRE D3FEND ontology for ATT&CK technique references.
This ontology serves as the basis to represent technical standards in a machine readable way. It provides elements to define publications, their provisions, their dependencies and possible constraints, among other constructs. This ontology is based on three technical standards, namely the IEC 62443 4-2, ETSI 303645 and the more general NIST Framework for Improving Critical Infrastructure Cybersecurity. Therefore, besides providing the schematic elements, it also considers system related concepts to describe system solutions, their components, etc.
The ODRL Profile for Access Control (OAC) extends the WAC access control list mechanism by using the Open Digital Rights Language (ODRL) to define 'sticky policies' that express permissions and / or prohibitions associated with data stored in a decentralised storage environment and utilises the Data Privacy Vocabulary (DPV) as a controlled vocabulary for invoking privacy and data protection-specific terms.
An ontology for data governance: business terms, subject areas, stewardship roles and responsibilities, term-lifecycle status, semantic typing, and the governed data itself: data stores, data sets, data elements, their sensitivity, security and regulatory classification, certification, and lineage from source of truth to certified data set.
Common vocabulary linking user requests, software contracts, accepted assumptions, executions and qualified simulation outputs.
Subjects used to describe the technology and business questions covered by Compare the Cloud. Its top concepts run from artificial intelligence, cloud computing and cybersecurity to business communications, digital transformation and fintech.
An ontology for defining and classifying policy types and their relationships to established policy vocabularies such as DCTERMS and ODRL.
Ontology for the Pr²Graph Knowledge Graph, modelling data privacy practices extracted from website privacy policies. Part of the ISWC 2026 resource paper 'A Semantic Resource Suite for Privacy Policy Formalization'.
coordination-protocol-contract-package (PubSubStandard_1) foundation: CID, PULL/PUSH operations, the grant and its result, ledgers, canonical records, and pods, plus two bindings -- a2a between agents and webmcpld in a browser tab. Imports JSON-RPC-LD core; PS1-PX profiles import this.
The Gaia-X ontology defines classes and properties for describing participants, service offerings, resources, and compliance credentials within the Gaia-X federated data infrastructure ecosystem. It provides machine-readable SHACL shapes and JSON-LD contexts for verifiable credentials in conformity with the Gaia-X Trust Framework.
A minimal ontology for publishing all Japanese laws (from the e-Gov Law Search API v2) as Linked Open Data. Legislative structure, versioning, amendment and citation reuse the ELI ontology; only Japan-specific notions absent from ELI (mutatis-mutandis application, delegation to subordinate legislation, technical reading substitution, competent ministry, and the cross-vocabulary link from wik.jp SKOS concepts to their enabling statutory provision) are minted under wjl:.
GDPR consent and contracts for sensor data sharing (Kurteva et al., Sensors 2023)
This vocabulary allows to express privacy-related permissions and restrictions in data processing. It is based on the formal provenance usage policy by Denis Butin, Denise Demirel, and Johannes Buchmann in their 2016 publication 'Formal Policy-based Provenance Audit'. The specification of the vocabulary is online at https://w3id.org/stopp/spec
EU炭素国境調整措置(Regulation (EU) 2023/956、Regulation (EU) 2025/2083による改正を含む)のAnnex Iが列挙する対象物品(CNコード・対象温室効果ガス付き)のSKOS語彙。GX政策(jgs)×貿易品目(hinmoku)×規制(CBAM)の三点測量を可能にする。
EU電池規則(Regulation (EU) 2023/1542)の電池区分・SoHパラメータ・再生材含有率対象材料・デューデリジェンス対象原材料・電池ステータスと、日本の資源有効利用促進法の蓄電池関連区分、産業実務の化学系分類を橋渡しするSKOS語彙。EUバッテリーパスポート(2027-02-18義務化、LMT電池・容量2kWh超の産業用電池・EV電池)の日本側対応の基盤。
Simple ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Google, Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc.
An ontology to describe legislation, based on the FRBR model, that encodes the ELI metadata fields.
Public Contracts Ontology offers a means of expression for describing public contracts in the public sector
The RCAO aims to provide a common knowledge model of the resilient collective awareness on automated driving domain.
vocabulary used to ensure the authenticity and integrity of Verifiable Credentials and similar types of constrained digital documents using cryptography, especially through the use of digital signatures and related mathematical proofs
Indicates if the actor is an individual, a group of individuals, a family or an organization, such as a legal body, a corporation, or a firm.
Security mechanisms for the the Web of Thing
The Data Spaces Profile. Primarily used to demonstrate the creation and applicability of policy patterns in data spaces.
Ontology defining concepts for Entity Legal Forms and their abbreviations by jurisdiction, based on ISO 20275. Though used by Global Legal Entity Identifier Foundation (GLEIF) for Legal Entity Identifier registration, it is more broadly applicable.
Ontology defining concepts for Business Registries, including the jurisdictions served. This is based on the Registration Authority Code List (RAL) used for Global Legal Entity Identifier Foundation (GLEIF) registration, but is more broadly applicable.
he WOT, or Web Of Trust, schema is designed to facilitate the use of Public Key Cryptography tools such as PGP or GPG to sign RDF documents and document these signatures.
Defines types of connectivity used in communication and bearer services accessible in certain connectivity.
An OWL vocabulary for describing normative requirements.
The PPROC ontology defines the necessary concepts to describe public procurement process and the contracts of public sector (public e-procurement). The ontology has been designed with the main purpose of publishing data about public contracts.
The OCDS is a data model that aims at structuring and publishing contracting data (tenders, procurements, awards, transactions, etc.). It got international adoption and is one of the leading models in this domain.
Vocabulary for machine-readable warranties and contracts, enabling complete automation of payment decisions and coverage assessment in after-sales service.
An ontology describing cryptographic algorithms
Vocabulary for representing payments, such as government expenditures, using the data cube representation.
This Agreements Ontology is designed to model 'agreements' which are social contracts that include licenses, laws, contracts, Memoranda of Understanding, standards and definitional metadata. Its purpose is to support data sharing by making explicit the relationships between agreements and data and agreements and Agents (people and organisations). Eventually it will also help with the interplay between different classes of agreements.
A vocabulary to describe calls, such as call for tenders, call for proposals, call for papers, etc.
The Linked Data Rights ontology provides the vocabulary for creating rights expressions for Linked Data resources.
A vocabulary for European Calls for Tenders (in english, german, and french)
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The Informed Consent Ontology (ICO) is an ontology for the informed consent and informed consent process in the medical field.
The Pathway Ontology captures information on biological networks, the relationships between netweorks and the alterations or malfunctioning of such networks within a hierarchical structure. The five main branches of the ontology are: classic metabolic pathways, regulatory, signaling, drug, and disease pathwaysfor complex human conditions.
WikiPathways is a database of biological pathways maintained by and for the scientific community.
PRO Research: An ontology for describing RDM-Policies in a structured way
OWL ontology mapping EU regulatory frameworks (GDPR, AI Act, MDR, PLD, EHDS, DGA, Data Act) to medical AI automated decision-making, CJEU case law, UPC patent litigation, and compliance obligations.
The Access Control Policy Language (ACP) is a language for describing, controlling, and granting access to resources.
Currently, the Solid protocol and its specifications lack the terms to express metadata related to the entities, roles, processes or infrastructure necessary to provide transparency to its data handling practices. In particular, these specifications do not have the terms to deal with the obligations and requirements brought by regulations related to (personal) data protection and privacy.
The Creative Commons Rights Expression Language (ccREL) lets you describe copyright licenses in RDF. For more information on describing licenses in RDF and attaching those descriptions to digital works, see [ccREL](https://wiki.creativecommons.org/CC_REL) in the [Creative Commons wiki](https://wiki.creativecommons.org/).
This ontology defines classes and properties for describing participants, infrastructure, data and services of the International Data Spaces (formerly known as Industrial Data Space).
The Medical Dictionary for Regulatory Activities (MedDRA) was developed by the International Council for Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH)to provide a standardised medical terminology to facilitate sharing of regulatory information internationally for medical products used by humans. It is used within regulatory processes, safety monitoring, as well as for marketing activities.
VICK is an application graph to describe vaccine immunization information. VICK is built on OMRSE and VICO, and based on metadata from Texas immunization records for patients
A lightweight vocabulary to create fine-grained access control policies for Linked Data.
This ontology defines a vocabulary for describing cyber physical systems for monitoring purpose. It contains two main concepts: CPSWatch#MonitoredSystem that is a top level description of a System that is modeled and CPSWatch#MonitoringSensor that is a top level description of a sensor used to monitor the CPSWatch#MonitoredSystem.
The TIDO ontology can be used to describe the decision processes within the threat intelligence domain
The Basic Access Control ontology describes how access rights (access control) are defined on the web.
Regulation of Gene Expression Ontology: Regulation of Gene Expression. A ontology listed in Bioregistry, OLS (EMBL-EBI).
Ontology defining generic concepts for reuse by other Global Legal Entity Identifier Foundation (GLEIF) ontologies. It defines generic classes for (legal) Entities and their relationships and statuses; and generic properties for different types of name and address. It makes use of the OMG Languages Countries and Codes (LCC) ontology (based on the ISO 3166 standard) for country and region information.
Extension to the Data Privacy Vocabulary (DPV) providing additional categories of personal data
Ontology for legal entity identifier registration. It was designed for Global Legal Entity Identifier Foundation (GLEIF) Level 1 data corresponding to the Common Data Format version 2.1. It covers key reference data for a legal entity identifiable with an LEI. The ISO 17442 standard developed by the International Organization for Standardization defines a set of attributes or LEI reference data that comprises the most essential elements of identification.
Ontology for legal entity parent relationships. It was designed for Global Legal Entity Identifier Foundation (GLEIF) Level 2 data corresponding to the Relationship Record format, version 1.1. Legal entities that have or acquire an LEI report their ‘direct accounting consolidating parent’ as well as their ‘ultimate accounting consolidating parent’, or for International Branches ‘is an International Branch of'. Otherwise they must provide a Reporting Exception.
Regulation of Transcription Ontology: Regulation of Transcription. A ontology listed in Bioregistry, OLS (EMBL-EBI).
APCO is an ontology that allows the description of public procurement terms
Ontology defining concepts for Geocoding of addresses. It is based on the geocoding used in the Global Legal Entity Identifier Foundation (GLEIF) Golden Copy Data, but is more broadly applicable.
Ontology for representing exceptions to reporting of parents, for entities registered with a Legal Entity Identifier. The Global Legal Identifier System (GLEIS) requires that legal entities with an LEI provide information on their ultimate and direct accounting consolidating parents. Relationship reporting is mandatory with exceptions allowed for certain well-defined reasons. This ontology provides a simple structure for recording reasons for each exception by LEI.
Other categories: Foundational & Upper Ontologies · Metadata, Provenance & Publishing · Life Sciences · Health & Clinical · Neuroscience · Chemistry & Materials · Earth & Environment · Agriculture, Food & Plants · Physical Sciences, Maths & Units · Engineering & Built Environment · Humanities & Culture · Society, Government & Business · Computing & Software · Multidisciplinary & General
