AIJan 26, 2024

SSDOnt: an Ontology for representing Single-Subject Design Studies

arXiv:2401.14933v1Method Inf Med
Originality Synthesis-oriented
AI Analysis

This addresses a problem for researchers in fields like education and biomedicine by offering a structured way to annotate and retrieve single-subject design studies, though it is incremental as it builds on existing ontology methodologies.

The authors tackled the lack of a formal vocabulary for annotating single-subject design studies by developing SSDOnt, an ontology that provides a reference model for describing and searching these studies, enabling complex queries and extensions for specific domains like autism.

Background: Single-Subject Design is used in several areas such as education and biomedicine. However, no suited formal vocabulary exists for annotating the detailed configuration and the results of this type of research studies with the appropriate granularity for looking for information about them. Therefore, the search for those study designs relies heavily on a syntactical search on the abstract, keywords or full text of the publications about the study, which entails some limitations. Objective: To present SSDOnt, a specific purpose ontology for describing and annotating single-subject design studies, so that complex questions can be asked about them afterwards. Methods: The ontology was developed following the NeOn methodology. Once the requirements of the ontology were defined, a formal model was described in a Description Logic and later implemented in the ontology language OWL 2 DL. Results: We show how the ontology provides a reference model with a suitable terminology for the annotation and searching of single-subject design studies and their main components, such as the phases, the intervention types, the outcomes and the results. Some mappings with terms of related ontologies have been established. We show as proof-of-concept that classes in the ontology can be easily extended to annotate more precise information about specific interventions and outcomes such as those related to autism. Moreover, we provide examples of some types of queries that can be posed to the ontology. Conclusions: SSDOnt has achieved the purpose of covering the descriptions of the domain of single-subject research studies.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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