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Erschienen in:
Structuring Linked Data Search Results Using Probabilistic Soft Logic Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Reuse-Based Annotation Approach for Medical Documents

verfasst von : Victor Christen, Anika Groß, Erhard Rahm

Erschienen in: The Semantic Web – ISWC 2016

Verlag: Springer International Publishing

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Abstract

Annotations are useful to semantically enrich documents and other datasets with concepts of standardized vocabularies and ontologies. In the medical domain, many documents are not annotated at all and manual annotation is a difficult process making automatic annotation methods highly desirable to support human annotators. We propose a reuse-based annotation approach that utilizes previous annotations to annotate similar medical documents. The approach clusters items in documents such as medical forms according to previous ontology-based annotations and uses these clusters to determine candidate annotations for new items. The final annotations are selected according to a new context-based strategy that considers the co-occurrence and semantic relatedness of annotating concepts. The evaluation based on previous UMLS annotations of medical forms shows that the new approaches outperform a baseline approach as well as the use of the MetaMap tool for finding UMLS concepts in medical documents.

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Vorheriges Kapitel Efficient Algorithms for Association Finding and Frequent Association Pattern Mining
Nächstes Kapitel Knowledge Representation on the Web Revisited: The Case for Prototypes
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Metadaten
Titel
A Reuse-Based Annotation Approach for Medical Documents
verfasst von
Victor Christen
Anika Groß
Erhard Rahm
Copyright-Jahr
2016
Buch
The Semantic Web – ISWC 2016

Print ISBN: 978-3-319-46522-7

Electronic ISBN: 978-3-319-46523-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-46523-4_9

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