Abstract
The Scientific Evidence and Provenance Information Ontology (SEPIO) was developed to support the description of evidence and provenance information for scientific claims. The core model represents the relationships between claims, their lines of evidence, and the data items that comprise this evidence, as well as the methods, tools, and agents involved in the creation of these artifacts. SEPIO was initially developed to support the data integration and analysis efforts of the Monarch Initiative, where it provides a unified and computable representation of evidence and provenance metadata for genotype-phenotype associations aggregated across diverse model organism and clinical genetics databases. However, additional requirements were collected from diverse community partners in an effort to provide a shared community standard, with a core model that is domain independent and extensible to represent any type of claim and its associated evidence. In this report we describe the structure and principles behind the SEPIO model, and review its applications in support of data integration, curation, knowledge discovery, and manual and computational evaluation of scientific claims. The SEPIO ontology can be found at http://github.com/monarch-initiative/SEPIO-ontology/blob/master/src/ontology/sepio.owl.
| Original language | English (US) |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 1747 |
| State | Published - 2016 |
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Keywords
- Data integration
- Evidence
- Ontology
- Provenance
- Scientific claims
ASJC Scopus subject areas
- Computer Science(all)
Cite this
SEPIO : A semantic model for the integration and analysis of scientific evidence. / Brush, Matthew H.; Shefchek, Kent; Haendel, Melissa.
In: CEUR Workshop Proceedings, Vol. 1747, 2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - SEPIO
T2 - A semantic model for the integration and analysis of scientific evidence
AU - Brush, Matthew H.
AU - Shefchek, Kent
AU - Haendel, Melissa
PY - 2016
Y1 - 2016
N2 - The Scientific Evidence and Provenance Information Ontology (SEPIO) was developed to support the description of evidence and provenance information for scientific claims. The core model represents the relationships between claims, their lines of evidence, and the data items that comprise this evidence, as well as the methods, tools, and agents involved in the creation of these artifacts. SEPIO was initially developed to support the data integration and analysis efforts of the Monarch Initiative, where it provides a unified and computable representation of evidence and provenance metadata for genotype-phenotype associations aggregated across diverse model organism and clinical genetics databases. However, additional requirements were collected from diverse community partners in an effort to provide a shared community standard, with a core model that is domain independent and extensible to represent any type of claim and its associated evidence. In this report we describe the structure and principles behind the SEPIO model, and review its applications in support of data integration, curation, knowledge discovery, and manual and computational evaluation of scientific claims. The SEPIO ontology can be found at http://github.com/monarch-initiative/SEPIO-ontology/blob/master/src/ontology/sepio.owl.
AB - The Scientific Evidence and Provenance Information Ontology (SEPIO) was developed to support the description of evidence and provenance information for scientific claims. The core model represents the relationships between claims, their lines of evidence, and the data items that comprise this evidence, as well as the methods, tools, and agents involved in the creation of these artifacts. SEPIO was initially developed to support the data integration and analysis efforts of the Monarch Initiative, where it provides a unified and computable representation of evidence and provenance metadata for genotype-phenotype associations aggregated across diverse model organism and clinical genetics databases. However, additional requirements were collected from diverse community partners in an effort to provide a shared community standard, with a core model that is domain independent and extensible to represent any type of claim and its associated evidence. In this report we describe the structure and principles behind the SEPIO model, and review its applications in support of data integration, curation, knowledge discovery, and manual and computational evaluation of scientific claims. The SEPIO ontology can be found at http://github.com/monarch-initiative/SEPIO-ontology/blob/master/src/ontology/sepio.owl.
KW - Data integration
KW - Evidence
KW - Ontology
KW - Provenance
KW - Scientific claims
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M3 - Article
AN - SCOPUS:85018757460
VL - 1747
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -