A Data Model for Flexible Querying

What is it about?

The paper is dealing with the problem of flexible querying using vague linguistic expressions and user dependent requirements. We propose a solution based on incorporating weights into scoring rules by the usage of fuzzy logic and fuzzy similarities. We define a data model, which enables to answer queries over crisp data using fuzzy knowledge base, fuzzy interpretation of vague expressions and fuzzy similarities. We present an extension of a positive relational algebra and show that its the expressive power together with a fuzzy fixpoint operator is sufficient for evaluating fuzzy Datalog programs. We discuss also a computational model for queries with a threshold on truth values and optimization of such queries.

Featured Image