基于SKOS的学术期刊文本资源多粒度语义标注方法研究

Purpose/significance] Semantic annotation for academic journals is facing two major problems which are how to embody all the concepts in oneontology and mostannotation methods are single granularity semantic annotation models. This paper proposes a SKOS-based multi-granularity semantic annotation method for academic journal text resource, which holds great significance to the development of semantic annotation and provides a method to meetusers' academic information demands. [Method/process] With the SKOS description of thesaurus,this paper takes academic journal text for example to achieve a multi-granularity semantic annotation method and carry on an empirical study.[Result/conclusion] By setting up the experimental group and the control group respectively, the paper evaluates the annotation effect of the SKOS-based multi-granularity semantic annotation method.