摘要
标引是资源管理与检索的基础。传统的标引方式仅停留在关键字异同的逻辑层面,忽略了文档语义层面上的信息。以本体的知识组织体系为基础,以抽取文档的语义向量为目标,提出了基于本体的语义标引思想,为基于概念匹配的语义检索创造条件。为了更清晰的描述标引过程,建立了基于本体的语义标引模型,并对模型中各环节进行详细的功能定义。参照具体的实例本体进行实验和分析。
Indexing is the foundation of resource management and information retrieval. The traditional means of indexing is still dwelling on logical similarity or difference between key words without consideration of the semantic relations. On the basis of ontology-based knowledge organization system and for the purpose of semantic vectors extraction, a way of semantic indexing is proposed to create condition for semantic retrieval which is based on conceptual matching. And for clearly description of the indexing process, a semantic indexing model is developed with several functional modules defined in detail. At last, an experimental study is presented in reference to example ontology.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第8期2078-2080,共3页
Computer Engineering and Design
关键词
语义标引
本体
语义向量
概念相似度
语义相似度
语义检索
semantic indexing
ontology
semantic vector
conceptual similarity
semantic similarity
semantic retrieval
