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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Fuzzy Query Languages for Multimedia Data

Fuzzy Query Languages for Multimedia Data
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Author(s): Paolo Ciaccia (Universita di Bologna, Italy), Wilma Penzo (Universita di Bologna, Italy), Danilo Montesi (Universita di Bologna, Italy) and Alberto Trombetta (Universita di Milano, Italy)
Copyright: 2001
Pages: 12
Source title: Design and Management of Multimedia Information Systems: Opportunities and Challenges
Source Author(s)/Editor(s): Mahbubur Rahman Syed (Minnesota State University Mankato, USA)
DOI: 10.4018/978-1-930708-00-6.ch010


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This chapter presents a fuzzy-based algebra, called SAMEW, to query multimedia objects. SAMEW allows for dealing within a common framework with several aspects relevant to similarity query processing as well as with the inherent imprecision that characterizes data, user requests and query results. Non-Boolean, namely fuzzy and similarity, predicates are used to rank tuples according to specific criteria. Complex multi-predicate queries can be formed by means of logical connectives, whose semantics is parameterized in order to adapt to specific scenarios. The same holds for the semantics of algebraic operators. These include properly extended traditional relational operators and new operators which allow threshold and best-matches queries to be easily expressed. A further important feature of SAMEW is the possibility of weighting both predicates and operands of algebraic operators so as to better fit user preferences/requirements. A working example dealing with Web data is used throughout the chapter to show the potentialities of SAMEW. Optimization issues are also briefly discussed.

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