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. 2022 May 7;12(5):757.
doi: 10.3390/jpm12050757.

Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective

Mathias Brochhausen  1 , Justin M Whorton  1 , Cilia E Zayas  1 , Monica P Kimbrell  2 , Sarah J Bost  3 , Nitya Singh  4   5 , Christoph Brochhausen  6 , Kevin W Sexton  1   7   8   9 , Bernd Blobel  10   11   12
Affiliations

Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective

Mathias Brochhausen et al. J Pers Med. .

Abstract

To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis. In creating surgical biobanks, currently, many obstacles must be overcome. Roadblocks exist around scoping of data that is to be collected, and the semantic integration of these data. In this paper, the generic component model and the Semantic Web technology stack are used to solve issues related to data integration. The results are twofold: (a) a scoping analysis of data and the ontologies required to harmonize and integrate it, and (b) resolution of common data integration issues in integrating data relevant to trauma surgery.

Keywords: biomedical ontologies; knowledge representation; osteomyelitis; post-traumatic arthritis; semantic data integration; surgical biobank; system theory.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The generic component model. From: [18].
Figure 2
Figure 2
The GCM applied to analyze the business VP of orthopedic trauma care, following the approach used by Uribe et al. [33] for diabetes mellitus. Adapted from [33].
Figure 3
Figure 3
Representation of RDF individuals and OWL classes representing a human being having multiple patient roles, corresponding to multiple patient IDs and multiple specimens derived from that human being corresponding to multiple entry numbers. From: [39].
Figure 4
Figure 4
Example individual representing a human being, Bernard, who is board-eligible, but not yet board-certified.
See this image and copyright information in PMC

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