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Biomedical subjects

Philipp Daumke

Publications and source records attributed to Philipp Daumke.

4 recordsLinked to original sources

How to distinguish parthood from location in bioontologies.

The pivotal role of the relation part-of in the description of living organisms is widely acknowledged. Organisms are open systems, which means that in contradistinction to mechanical artifacts they are characterized by a continuous flow and exchange of matter. A closer analysis of the spatial relations in biological organism reveals that the decision as to whether a given particular is part-of a second particular or whether it is only contained-in the second particular may often be controversial. We here propose a rule-based approach which allows us to decide on the basis of well-defined criteria which of the two relations holds between two anatomical objects, given that one spatially includes the other. We discuss the advantages and limitations of this approach, using concrete examples from human anatomy.

Algorithms↗

Multilingual biomedical dictionary.

We present a unique technique to create a multilingual biomedical dictionary, based on a methodology called Morpho-Semantic indexing. Our approach closes a gap caused by the absence of free available multilingual medical dictionaries and the lack of accuracy of non-medical electronic translation tools. We first explain the underlying technology followed by a description of the dictionary interface, which makes use of a multilingual subword thesaurus and of statistical information from a domain-specific, multilingual corpus.

Abstracting and Indexing↗

A CLIR Interface to a Web search engine.

Medical document retrieval presents a unique combination of challenges for the design and implementation of retrieval engines. We introduce a method to meet these challenges by implementing a multilingual retrieval interface for biomedical content in the World Wide Web. To this end we developed an automated method for interlingual query construction by which a standard Web search engine is enabled to process non-English queries from the biomedical domain in order to retrieve English documents.

Abstracting and Indexing↗

Cross-language MeSH indexing using morpho-semantic normalization.

We consider three alternative procedures for the automatic indexing of medical documents using MeSH thesaurus identifiers as target units (document descriptors). Rather than considering complete words as the starting point of the indexing procedure, we here propose morphologically plausible subwords as basic units from which MeSH terms are derived. We describe the morphological segmentation and normalization procedures, as well as the mappings from subwords to MeSH terms, and discuss results from an evaluation carried out on a German-language corpus.

Abstracting and Indexing↗