In this paper, we propose an IR-style approach which basically utilizes the statistics of underlying XML data to address these challenges. We first propose specific guidelines that a search engine should meet in both search intention identification and relevance oriented ranking for search results. Then based on these guidelines, we design novel formulae to identify the search for nodes and search via nodes of a query, and present a novel XML TF*IDF ranking strategy to rank the individual matches of all possible search intentions. Lastly, the proposed techniques are implemented in an XML keyword search engine called XReal, and extensive experiments show the effectiveness of our approach.
REF proposed a statistical way to identify the search target candidates.
Effective XML Keyword Search with Relevance Oriented Ranking
2009 IEEE 25th International Conference on Data Engineering
2009 IEEE 25th International Conference on Data Engineering
Computer Science