Data and Models

This page describes the ALIGNED metamodel and the ontologies which it is made from. The metamodel is divided into three parts – the core, based on the W3C PROV-O provenance ontology; the ALIGNED generic metamodel, consisting of a design intent ontology, software and data lifecycle models, and quality reporting; and the domain-specific models, which specialise the generic metamodel for use in individual use cases.

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Core Ontologies

These ontologies are derived from W3C PROV-O.

ALIGNED Generic Metamodel

Design Intent Ontology (DIO)

The purpose of the DIO ontology is to model the design intent or design rationale while undertaking the design of any artifact. A design intent or design rationale is an explicit documentation of the reasons behind decisions made when designing a system or artifact.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

Software Engineering

Software Lifecycle Ontology (SLO)

The purpose of the Software Lifecycle Ontology is to provide a top level ontology for describing a process in the lifecycle of an Software. The ontology conforms to the ISO/IEC 12207 standard for Systems and software engineering — Software life cycle processes.The terminology used in the ontology conforms to ISO/IEC TR 24774:2010(E). All subprocesses will require to import this module.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

Software Implementation Process Ontology (SIP)

The purpose of the Software Implementation Process ontology is to provide a set of conceptual entities to represent a specified system element implemented as a software product or service.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

Data Engineering

Data Lifecycle Ontology (DLO)

The purpose of the Data Lifecycle Ontology is to provide a set of conceptual entities, agents, activities, and roles to represent the general data engineering process. Furthermore, it is the basis for deriving specific domain ontologies which represent lifecycles of concrete data engineering projects such as DBpedia or Seshat.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

DBpedia DataID (DataID)

This vocabulary is available at the DBpedia DataID page.

Unified Quality Reports

Reasoning Violation Ontology (RVO)

The purpose of RVO is to describe RDF and OWL reasoning violation messages in the Dacura Quality Service. These violations report areas where the input model is logically inconsistent or breaks RDFS/OWL semantics or axioms.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

W3C SHACL Reporting Vocabulary

This vocabulary is available at the W3C Shapes Constraint Language (SHACL) page.

Data Quality Vocabulary (DQV)

This vocabulary is available at the Data on the Web Best Practices: Data Quality Vocabulary page.

Test-driven RDF Validation Ontology (RUT)

This vocabulary is available at the Test-Driven Data Validation Ontology page.

Domain Specific Extensions

Enterprise Information Processing (EIPDM)

The purpose of the Enterprise Information Processing Domain-specific Meta-Model is to provide a set of concrete entities, agents, activities, and roles to represent the data engineering process. It is based on the general Data Lifecycle Ontology. The initial information gathered to build the domain-specific enterprise information processing metamodel is based on the JURION use case. The JURION use case includes both processes for data and software development and therefore uses the data lifecycle ontology and the software lifecycle ontology.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

e-research in the Social Sciences and Humanities (ERES)

The purpose of the ESSHD Ontology is to provide a set of conceptual entities, agents, activities, and roles to represent the specific data engineering process for e-research in the social sciences and humanities. It is derived from the general data lifecycle ontology which represents lifecycles of linked data.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

Crowd-sourced Public Datasets (CSPDO)

This ontology is used to describe the domain-specific extensions to the ALIGNED data lifecycle model ontology (DLO) and software lifecycle ontology (SLO) for crowd-sourced public datasets based on the DBpedia use case within the ALIGNED project. Over time generic features may be migrated to the upper ontology. The current scope of this ontology is to support extensions needed for DBpedia scenarios within Phase 2 of the ALIGNED project. Thus there is a focus on the validation activities.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

Enterprise Software Development (DIOPP)

The aim of the ontology is to integrate the datasets generated through requirements specification and the issues raised during their implementation. This ontology covers the mappings defined between the PoolParty conceptualisation and the DIO ontology. The mappings are further supported by the figures illustrated here. An example illustrating the mapping can be found here.
Vocabulary Documentation
Vocabulary Metadata
Vocabulary

Datasets

Seshat: Global History Databank

Seshat is a set of historical and social science times series data describing human societies from approximately 10,000BC to the present day. The data has been collected for testing theories about sociocultural evolution and historical dynamics (Cliodynamics). Each time series consists of approximately 1500 variables (properties of human societies) sampled at approximately 100 year intervals (depending on the richness of the historical record for a given place and time). Ultimately, the Seshat project would like to include all kinds of theoretically relevant data in it. However, given limited resources, it is impossible to collect every possible variable time series. Instead, the strategy is to rely on the ‘Big Question approach’ that selects sets of variables relevant to specific social science big questions that are coded first. As research projects studying new big questions are funded, new sets of variables are added.
Dataset Metadata
Dataset Homepage

Seshat Ontologies

Seshat Global History Databank Ontology

The Seshat Global History Databank ontology is designed to describe human societies throughout time. It will be used by the Evolution Institute and its partners to describe time series data collected about all human societies.
Vocabulary Documentation
Vocabulary

Uncertain Temporal Variables

This ontology is used to describe generic data patterns for describing uncertain temporal variables of historical entities. It is used within the Seshat Global History Databank.
Vocabulary Documentation
Vocabulary

DBpedia

DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself.
Dataset Homepage