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The semantic metadatabase (SEMEDA): ontology based integration of federated molecular biological data sources.

A system for "intelligent" semantic integration and querying of federated databases is being implemented by using three main components: A component which enables SQL access to integrated databases by database federation (MARGBench), an ontology based semantic metadatabase (SEMEDA) and an ontology based query interface (SEMEDA-query). In this publication we explain and demonstrate the principles, architecture and the use of SEMEDA. Since SEMEDA is implemented as 3 tiered web application database providers can enter all relevant semantic and technical information about their databases by themselves via a web browser. SEMEDA' s collaborative ontology editing feature is not restricted to database integration, and might also be useful for ongoing ontology developments, such as the "Gene Ontology" [2]. SEMEDA can be found at http://www-bm.cs.uni-magdeburg.de/semeda/. We explain how this ontologically structured information can be used for semantic database integration. In addition, requirements to ontologies for molecular biological database integration are discussed and relevant existing ontologies are evaluated. We further discuss how ontologies and structured knowledge sources can be used in SEMEDA and whether they can be merged supplemented or updated to meet the requirements for semantic database integration.

Databases, Genetic↗

HealthInfoCDA: Case Composition Using Electronic Health Record Data Sources.

HealthInfoCDA denotes a health informatics educational intervention for learning about the clinical process through use of the Clinical Document Architecture (CDA). We hypothesize those common standards for an electronic health record can provide content for a case base for learning how to make decisions. The medical record provides a shared context to coordinate delivery of healthcare and is a boundary object that satisfies the informational requirement of multiple communities of practice. This study transforms clinical narrative in three knowledge-rich modalities: case write-up, patient record and online desk reference to develop a case base of experiential clinical knowledge useful for medical and health informatics education. Our ultimate purpose is to aggregate concepts into knowledge elements for case-based teaching.

Biomedical Research↗

ARIS: integrating multi-source data for research in andrology.

Although the concept of distributed systems for the storage of patient data is more and more commonly accepted, for some considerable time yet most patient data will be stored in centralized rather than departmental systems. An important advantage of storage in a central system is hospital-wide access to much of the patient data. Disadvantages are however that these data cannot be reviewed through one user interface, and that the structure of the data does not lend itself to exploitation for other purposes. We describe the implementation of an Andrology Research Information System in which these data are integrated in a well-structured database facilitating multiple views on the patient data through a graphical user interface, and clinical research, quality control and summary reports. The data can be analyzed directly using the Hermes workstation. In this way the strengths of the centralized system are combined with those of the dedicated ARIS system.

Computer Graphics↗