Rtop-k:A Keyword Proximity Search Method Based on Structure Relaxation
Meng Xiang-fu · 2012
Recently,most of existing algorithms for keywords search always compute the most compact fragments which contain Key words.However,many of these methods do not take the structure-relationship embedded in the XML document into consideration.For the structural query of XML documents,it always has a higher accuracy as it can capture the information searched by users accurately.In this paper,we combine the methods of structural query together with the keyword information retrieval,and infer the needs of users' query through analyzing the relationship between Key words and the structure of the XML document.We introduce the thinking of object-oriented and the query of relaxation into keyword query methods,and propose a new architecture of keyword proximity query(Rtop-k).Experimental results show that our method can capture the search-intention of users accurately with high recall and precision.