Schema Matching And Mapping-based Data Integration

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...

XML Schema Matching – Using Structural Information

Schema matching is the task of finding semantic correspondences between elements of two schemas. It takes two schemas as input and returns a mapping that identifies corresponding elements in the two schemas. Schema matching is an important and vital step in many schema and data translation and integration applications, such as integration of web data sources, data warehousing, XML message mappi...

Schema Matching and Mapping - Based Data Integration

i3MAGE: Incremental, Interactive, Inter-Model Mapping Generation

School of Business Informatics and Mathematics Doktor der Naturwissenschaften i3MAGE: Incremental, Interactive, Inter-Model Mapping Generation by Christoph Pinkel Data integration is a highly important prerequisite for most enterprise data analyses. While hard in general, a particular concern is about human effort for designing a global integration schema, authoring queries against that schema,...

Generic Schema Matching with Cupid

Schema matching is a critical step in many applications, such as XML message mapping, data warehouse loading, and schema integration. In this paper, we investigate algorithms for generic schema matching, outside of any particular data model or application. We first present a taxonomy for past solutions, showing that a rich range of techniques is available. We then propose a new algorithm, Cupid...