Open AccessMeasuring the Quality of Uncertain Information Using Possibilistic Logic
Author(s) -
Anthony Hunter,
Weiru Liu
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-27326-3
DOI - 10.1007/11518655_36
Subject(s) - computer science , xml , complement (music) , information retrieval , quality (philosophy) , document structure description , coherence (philosophical gambling strategy) , measure (data warehouse) , degree (music) , data mining , information quality , xml validation , focus (optics) , information system , world wide web , mathematics , statistics , engineering , gene , phenotype , philosophy , chemistry , acoustics , biochemistry , epistemology , physics , complementation , electrical engineering , optics
In previous papers, we have presented a framework for merging structured information in XML involving uncertainty in the form of probabilities, degrees of beliefs and necessity measures [HL04,HL05a,HL05b]. In this paper, we focus on the quality of uncertain information before merging. We first provide two definitions for measuring information quality of individually inconsistent possibilistic XML documents, and they complement the commonly used concept of inconsistency degree. These definitions enable us to identify if an XML document is of good or lower quality when it is inconsistent, as well as enable us to differentiate between documents that have the same degree of inconsistency. We then propose a more general method to measure the quality of an inconsistent possibilistic XML document in terms of a pair of coherence measures.
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