Combining Term Semantics with Content and Structure Semantics for XML Element Search Results Clustering

Provided by: AICIT
Topic: Big Data
Format: PDF
The biggest characteristic of the XML retrieval is able to return the element node results. This paper studies XML element search results clustering and proposes one similarity measurement method based on term semantics, in which the \"Core\" concept between terms is got through Latent Semantic Indexing technology (LSI) and the same time the XML element node Content And Semantic Structure properties (CASS) are combined. In addition, two new performance evaluation methodologies, namely R-ClusterRatio and R-DocuRatio are introduced to evaluate clustering quality.

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