BUS: an effective indexing and retrieval scheme in structured documents
Proceedings of the third ACM conference on Digital libraries
ACM Transactions on Information Systems (TOIS)
XIRQL: a query language for information retrieval in XML documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Querying and ranking XML documents
Journal of the American Society for Information Science and Technology - XML
The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Towards Aggregated Answers for Semistructured Data
ICDT '01 Proceedings of the 8th International Conference on Database Theory
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Searching and Browsing Collections of Structural Information
ADL '00 Proceedings of the IEEE Advances in Digital Libraries 2000
Structural Joins: A Primitive for Efficient XML Query Pattern Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Content and structure in indexing and ranking XML
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Narrowed extended XPath i (NEXI)
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Dynamic element retrieval in a structured environment
ACM Transactions on Information Systems (TOIS)
Relevance measures for XML information retrieval
International Journal of Web and Grid Services
Managing structured queries in probabilistic XML retrieval systems
Information Processing and Management: an International Journal
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This paper shows how the s-term ranking model [1] is extended and combined with index structures and algorithms for structured document retrieval to enhance both the effectiveness of the model and the retrieval efficiency. We explain in detail how previous work on ranked and exact retrieval can be integrated and optimized, and which adaptions are necessary. Our approach is evaluated experimentally at the INEX workshop 2004 [2]. The results are encouraging and give rise to a number of future enhancements.