A Constraint Identification Method for Predicate Node Identification in Clustered Xml Documents
Abstract
A large number of documents are now represented and stored using an XML document structure on the web. These documents may emanate from the same source (Homogeneous) or different sources (Heterogeneous). This make it challenging as how these documents can be managed and retrieved. The existing systems returns irrelevant predicates. The predicate node identification method employed on the search systems use only a simple constraint. To improve the effectiveness of XML retrieval, an effective constraints Identification Algorithm (E_CIA) is developed to identify relevant predicates. The E_CIA uses Constraints Operator Generator (COG) to identify constraints to be imposed to generate most relevant predicate node to improve the effectiveness of the retrieval process. Experiments have been conducted to evaluate the performance of the proposed E_CIA. The experimental results have shown that the proposed E_CIA outperforms StruX and StruXPlus in terms of precision.
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