An Algebraic Framework for Schema Matching
نویسندگان
چکیده
It is well known that a formal framework for the schema matching problem (SMP) is important because it facilitates the building of algorithm model and the evaluation of algorithms. An algebraic framework for schema matching is developed in this paper. First, based on universal algebra, we propose a meta-meta structure for schema, which is named multi-labeled schema. This definition has a distinctive feature: it is able to formally describe any particular style of schemas, and transforms a schema and other available information into a finite structure over specific signature. Later, we introduce a formal definition of schema matching that is called multivalent matching. Then, we formulize SMP as a schema homomorphism problem, and prove that SMP is equivalent to finding a semantic homomorphism from one schema to another. These results lead to the main contribution of this paper: an algebraic framework for SMP. This framework builds the algorithm model for SMP. Thirdly, we show a classification of schema matching based on the algebraic framework. Finally, we discuss the relations between matching cardinality and subclasses of schema homomorphism.
منابع مشابه
An Improved Semantic Schema Matching Approach
Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...
متن کاملA Unified Schema Matching Framework
The proliferation of applications dealing with shared data radically increases the need to identify and discover the semantically corresponding elements. To cope with the difficulties of the necessary schema matching, we propose a unified framework. The framework tries to collect the most well-known work concerning schema matching in a generalized approach. We observe that nearly all of this wo...
متن کاملAlgebraic Matching of Vulnerabilities in a Low-Level Code
This paper explores the algebraic matching approach for detection of vulnerabilities in binary codes. The algebraic programming system is used for implementing this method. It is anticipated that models of vulnerabilities and programs to be verified are presented as behavior algebra and action language specifications. The methods of algebraic matching are based on rewriting rules and techniques...
متن کاملRiMOM2: A Flexible Ontology Matching Framework
With the development of the Linking Open Data (LOD) project, large amount of semantic datasets have been published on the Web. Due to the open and distributed nature of the Web, the published data may be heterogeneous both in the schema level and instance level. Matching the entities of different datasets is very important for integrating information from different data sources. Recently, much ...
متن کاملSchema Matching And Mapping-based Data Integration
We propose a flexible framework called MOMA for mapping-based object Object matching or object consolidation is a crucial task for data integration and 370, COMA A System for Flexible Combination of Schema Matching Approaches. Schema matching and mapping are an important tasks for many applications, such as data integration, data warehousing and e-commerce. First and foremost our approach is ba...
متن کامل