作者: Sascha Tönnies , Wolf-Tilo Balke
DOI: 10.1007/978-3-642-04346-8_18
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摘要: In digital libraries semantic techniques are often deployed to reduce the expensive manual overhead for indexing documents, maintaining metadata, or caching future search. However, using such may cause a decrease in collection's quality due their statistical nature. Since data is major concern libraries, it important be able measure (loss of) of metadata automatically generated by techniques. this paper we present user study based on typical technique used automatic creation, namely taxonomies author keywords and tag clouds. We observed experts assessing relations between documents over small corpus field chemistry. Based evaluation experiment, focused communalities experts' perception thus draw first roadmap how evaluate proposing some preliminary metrics.