Query term weights as constraints in fuzzy information retrieval
Information Processing and Management: an International Journal
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating evaluation measure stability
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
An indexing model of HTML documents
Proceedings of the 2003 ACM symposium on Applied computing
Simple BM25 extension to multiple weighted fields
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Journal of the American Society for Information Science and Technology
Combining fields for query expansion and adaptive query expansion
Information Processing and Management: an International Journal
EuroGOV: engineering a multilingual web corpus
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
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A new scenario has raised into the IR field with the increase in the use of mark-up languages. This new scenario has been defined as structured IR and is focused on documents with structure. The classic IR models have been extended in order to be applied to this document type. Generally these adaptations have been carried out by weighting the fields that form the document structure, and making the assumption of statistics independence between fields. This assumption force to an estimation of the different weights applied to each field. In this paper a new ranking function for structured IR is proposed. This new function is based on Fuzzy Logic, and its main aim is to model through heuristics and expert knowledge the relations between fields within a document.