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Selected Publication:

SHR Neuro Cancer Cardio Lipid

Daumke, P; Schulz, S; Muller, ML; Dzeyk, W; Prinzen, L; Pacheco, EJ; Cancian, PS; Nohama, P; Marko, K.
Subword-based semantic retrieval of clinical and bibliographic documents.
METHODS INFORM MED. 2010; 49(2): 141-147.
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Authors Med Uni Graz:
Schulz Stefan

Dimensions Citations:

Plum Analytics:
OBJECTIVES: The increasing amount of electronically available documents in bibliographic databases and the clinical documentation requires user-friendly techniques for content retrieval. METHODS: A domain-specific approach on semantic text indexing for document retrieval is presented. It is based on a subword thesaurus and maps the content of texts in different European languages to a common interlingual representation, which supports the search across multilingual document collections. RESULTS: Three use cases are presented where the semantic retrieval method has been implemented: a bibliographic database, a department EHR system, and a consumer-oriented Web portal. CONCLUSIONS: It could be shown that a semantic indexing and retrieval approach, the performance of which had already been empirically assessed in prior studies, proved useful in different prototypical and routine scenarios and was well accepted by several user groups.
Find related publications in this database (using NLM MeSH Indexing)
Databases, Bibliographic -
Databases, Bibliographic -
Information Storage and Retrieval - methods
Medical Informatics -
Multilingualism -
Semantics -

Find related publications in this database (Keywords)
semantic information retrieval
document indexing
cross-language information retrieval
bibliographic databases
consumer health informatics
electronic health record
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