Paper Info
Title
Propositional logic representations for documents and queries: a large-scale evaluation
Abstract
Expressive power is a potential source of benefits for Information Retrieval. Indeed, a number of works have been traditionally devoting their efforts to defining models able to manage structured documents. Similarly, many researchers have looked at query formulation and proposed different methods to generate structured queries. Nevertheless few attempts have addressed the combination of both expressive documents and expressive queries and its effects on retrieval performance. This is mostly due to the lack of a coherent and expressive framework in which both documents and queries can be handled in an homogeneous and efficient way. In this work we aim at filling this gap. We test the impact of logical representations for documents and queries under a large-scale evaluation. The experiments show clearly that, under the same conditions, the use of logical representations for both documents and queries leads to significant improvements in retrieval performance. Moreover, the overall performance results make evident that logic-based approaches can be competitive in the field of Information Retrieval.
Year
DOI
Venue
2003
10.1007/3-540-36618-0_16
ECIR
Keywords
Field
DocType
expressive document,expressive framework,propositional logic representation,retrieval performance,overall performance result,large-scale evaluation,expressive query,expressive power,logical representation,information retrieval,defining model,propositional logic
Information retrieval,Computer science,Homogeneous,Propositional calculus,Expressive power,Belief revision,Language model,Query formulation,Expressivity
Conference
Volume
ISSN
ISBN
2633
0302-9743
3-540-01274-5
Citations 
PageRank 
References 
4
0.46
14
Authors
2
Name
Order
Citations
PageRank
David E. Losada132640.63
Alvaro Barreiro222622.42