Database queries with fuzzy linguistic quantifiers
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy querying in conventional databases
Fuzzy logic for the management of uncertainty
Quantified statements in a flexible relational query language
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
IEEE Transactions on Knowledge and Data Engineering
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Soft Querying, a New Feature for Database Management Systems
DEXA '94 Proceedings of the 5th International Conference on Database and Expert Systems Applications
On Representation-Based Querying of Databases Containing Ill-known Values
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Internet as a challenge to fuzzy querying
Intelligent exploration of the web
Qualitative pattern matching with linguistic terms
AI Communications - STAIRS 2002
Extending object-oriented databases for fuzzy information modeling
Information Systems - Databases: Creation, management and utilization
FleXPath: flexible structure and full-text querying for XML
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
FuzzyXPath: Using Fuzzy Logic an IR Features to Approximately Query XML Documents
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Top-k Answers to Fuzzy XPath Queries
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Flexible SPARQL Querying of Web Data Tables Driven by an Ontology
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
On the expressiveness of generalization rules for XPath query relaxation
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
| Hi-index | 0.00 |
XML has become a widespread format for data exchange over the Internet. The current state of the art in querying XML data is represented by XPath and XQuery, both of which define binary predicates. In this paper, we advocate that binary selection can at times be restrictive due to very nature of XML, and to the uses that are made of it. We therefore suggest a querying framework, called FXPath, based on fuzzy logics. In particular, we propose the use of fuzzy predicates for the definition of more “vague” and softer queries. We also introduce a function called “deep-similar”, which aims at substituting XPath's typical “deep-equal” function. Its goal is to provide a degree of similarity between two XML trees, assessing whether they are similar both structure-wise and content-wise. The approach is exemplified in the field of e-learning metadata.