Knowledge Representation and Management, It’s Time to Integrate!

Abstract

SummaryObjectives: To select, present, and summarize the best papers published in 2016 in the field of Knowledge Representation and Management (KRM). Methods: A comprehensive and standardized review of the medical informatics literature was performed based on a PubMed query. Results: Among the 1,421 retrieved papers, the review process resulted in the selection of four best papers focused on the integration of heterogeneous data via the development and the alignment of terminological resources. In the first article, the authors provide a curated and standardized version of the publicly available US FDA Adverse Event Reporting System. Such a resource will improve the quality of the underlying data, and enable standardized analyses using common vocabularies. The second article describes a project developed in order to facilitate heterogeneous data integration in the i2b2 framework. The originality is to allow users integrate the data described in different terminologies and to build a new repository, with a unique model able to support the representation of the various data. The third paper is dedicated to model the association between multiple

As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018

“…In direct line with the research on data integration presented last year 1 , the 2017's best papers demonstrate even further the added-value of ontology-based integration approaches for phenotype-genotype association mining. Three papers describe systems 2 3 6 .…”

“…We conducted the selection of KRM papers in PubMed/MELDINE based on the same query as in the previous edition of the International Medical Informatics Association (IMIA) Yearbook 1 . We followed a generic method, commonly used in all sections of the Yearbook since 2013.…”

Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook

“…The new optimized set of queries introduced last year was stable as compared with the previous query (15% increase of the query in 2018), and had an overall good precision of KRM relevant papers. In contrast, there was a 45% decrease in comparison with the results of the previous query used for 2017 [3]. Section editors achieved a first selection of 148 papers based on titles and abstracts.…”

“…We conducted the selection of KRM papers based on the set of queries established in the 2019 edition of the IMIA Yearbook of Medical Informatics 1 . As compared with the previous editions of the IMIA Yearbook in 2017 and 2018 2 3 , both PubMed/MELDINE and Web of Knowledge were used to search for KRM articles published in 2019. We followed a generic method to select the best papers, commonly used in all sections of the Yearbook since 2013 [].…”

An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival

“…An ontology is a computational representation of a domain of knowledge based upon a controlled, standardized vocabulary for describing entities and the semantic relationships between them [ 18 – 21 ]. The use of ontologies can facilitate data integration in many ways, including metadata representation, automatic data verification, global conceptualization, support for high-level semantic queries, and extend beyond traditional approaches of using common data elements (CDEs) and common data models (CDMs) [ 22 – 24 ], especially in the biomedical domain [ 15 , 25 ].…”