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- 131 creator christian-sengstock.
- 131 creator michael-gertz.
- 131 type InProceedings.
- 131 label "Latent Contextual Indexing of Annotated Documents".
- 131 sameAs 131.
- 131 abstract "In this paper we propose a simple and flexible framework to index context-annotated documents, e.g., documents with timestamps or georeferences, by contextual topics. A contextual topic is a distribution over document features with a particular meaning in the context domain, such as a repetitive event or a geographic phenomenon. Such a framework supports document clustering, labeling, and search, with respect to contextual knowledge contained in the document collection. To realize the framework, we introduce an approach to project documents into a context-feature space. Then, dimensionality reduction is used to extract contextual topics in this context-feature space. The topics can then be projected back onto the documents. We demonstrate the utility of our approach with a case study on georeferenced Wikipedia articles.".
- 131 hasAuthorList authorList.
- 131 isPartOf proceedings.
- 131 isPartOf proceedings.
- 131 keyword "Document Context".
- 131 keyword "Exploratory Data Analysis".
- 131 keyword "Georeferenced Data".
- 131 keyword "Latent Semantic Analysis".
- 131 keyword "Topic Models".
- 131 title "Latent Contextual Indexing of Annotated Documents".