Searching XML documents via XML fragments
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Querying structured text in an XML database
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Controlling overlap in content-oriented XML retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Structure and content scoring for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
XCluster Synopses for Structured XML Content
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
XSEarch: a semantic search engine for XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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We present a new framework for indexing, locating and ranking XML documents based on content and structural synopses extracted from the documents. Instead of indexing each single element or term in a document, we extract a structural summary and a small number of data synopses from the document, which are indexed in an efficient way suitable for query evaluation. Our query language is XPath extended with full-text search. The result of query evaluation is a ranked list of document locations that best match the query. We propose a novel aggregated ranking scheme, which is integrated into the query evaluation to score the documents based on those data synopses. Our experimental evaluation shows that our indexing scheme outperforms the standard XML indexing scheme based on inverted lists and our ranking scheme is effective in terms of precision and recall.