Relevance Ranking Tuning for Similarity Queries on XML Data

Authors:
Paolo Ciaccia;Wilma Penzo
Affiliations:
-;-
Venue:
Proceedings of the VLDB 2002 Workshop EEXTT and CAiSE 2002 Workshop DTWeb on Efficiency and Effectiveness of XML Tools and Techniques and Data Integration over the Web-Revised Papers
Year:
2003

Citing 5
Cited 0

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
Induction of integrated view for XML data with heterogeneous DTDs

Proceedings of the tenth international conference on Information and knowledge management
Tree Pattern Relaxation

EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Generic Schema Matching with Cupid

Proceedings of the 27th International Conference on Very Large Data Bases
Adding Relevance to XML

Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases

Quantified Score

Hi-index	0.00

Visualization

Abstract

Similarity query techniques integrating semantics and structure of XML data have been recently investigated. Mostly, query relaxations are not fully exploited to retrieve data that approximate query conditions on data organization. In this paper we present a method to widen the spectrum of relevant data, and we define a measure to tune the ranking of results, so that also information on relevance quality of data retrieved can be inferred from scores.