Element Retrieval Using Namespace Based on Keyword Search over XML Documents

Yang WANG, Zhikui CHEN, Xiaodi HUANG
2010 Journal of Software Engineering and Applications  
Querying over XML elements using keyword search is steadily gaining popularity. The traditional similarity measure is widely employed in order to effectively retrieve various XML documents. A number of authors have already proposed different similarity-measure methods that take advantage of the structure and content of XML documents. However, they do not consider the similarity between latent semantic information of element texts and that of keywords in a query. Although many algorithms on XML
more » ... lement search are available, some of them have the high computational complexity due to searching for a huge number of elements. In this paper, we propose a new algorithm that makes use of the semantic similarity between elements instead of between entire XML documents, considering not only the structure and content of an XML document, but also semantic information of namespaces in elements. We compare our algorithm with the three other algorithms by testing on real datasets. The experiments have demonstrated that our proposed method is able to improve the query accuracy, as well as to reduce the running time. 13 return top K elements of rank[] over all documents Figure 2. Namespace filter algorithm
doi:10.4236/jsea.2010.31008 fatcat:cnqnqoztgvgnna4hobkp7uzcee