An Extended Vector Space Model for XML Information Retrieval

Abstract

With the emergence of more and more XML documents, effectively and efficiently retrieving information from XML documents has become an active research area. Since XML documents lie between structured data and unstructured data which describe both content and structure, it is a huge challenge for effectively and efficiently retrieving information from XML documents. This paper develops a novel retrieval model named as Extend Vector Space Model which effectively combines XPath and Vector Space Model for XML information retrieval. A prototype system for XML information retrieval based on this retrieval model has been implemented, and several corresponding algorithms have been introduced. The experiments show that this model has effectively improved recall and precision.