Schema matching plays an important role in various fields of enterprise system modeling and integration, such as in databases, business intelligence, knowledge management, interoperability, and others. The matching problem relates to finding the semantic correspondences between two or more schemas. The focus of the most of the research done in schema and ontology matching is pairwise matching, ...

In a Web database that dynamically provides information in response to user queries, two distinct schemas, interface schema (the schema users can query) and result schema (the schema users can browse), are presented to users. Each partially reflects the actual schema of the Web database. Most previous work only studied the problem of schema matching across query interfaces of Web databases. In ...

overlapping/related ontologies or schemas. • support for Semantic match approach STROMA Evaluation STROMA follows a 2-step approach to semantic matching Rahm, E.: Towards largescale schema and ontology matching. Recently large amounts of schema data, which describe data structure of various domains such as purchase order, health, publication, geography, agriculture. Increase in web and informat...

The problem of schema or ontology matching is to define mappings among schema or ontology elements. Such mappings are typically defined between two schemas or two ontologies at a time. Ideally, using the defined mappings, one would be able to issue a single query that will be rewritten automatically to all the databases, instead of manually writing a query to each database. In a centrally media...

This paper describes how we used generic schema matching algorithms to align the Foundational Model of Anatomy (FMA) and the GALEN Common Reference Model (CRM), two large models of human anatomy. We summarize the generic schema matching algorithms we used to identify correspondences. We present sample results that highlight the similarities and differences between the FMA and the CRM. We also i...

ous business domains for automatic discovery, mediation and invocation of services over the Core or BibTEX. The use of such an Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. VLDB Journal: Very. BibTeX. @MISC(Rizopoulos_schemamatching, author = (Nikos Rizopoulos), 1126, A survey of approaches to automatic schema matching Rahm, Bernstein. The Linked Data paradigm ...

In Peer Data Management Systems (PDMS), each peer is an autonomous source that makes available a local schema. Information exchange occurs through the establishment of schema mappings between local schemas. To help matters, ontologies have been considered as uniform representation of local schemas (i.e., peer ontologies). Consequently, ontology matching techniques have been used to determine sc...

Schema matching is widely used in many applications, such as data integration, ontology merging, data warehouse and dataspaces. In this paper, we propose a novel matching technique that is based on the order of attributes appearing in the schema structure of query results. The appearance order embodies the extent of the importance of an attribute for the user examining the query results. The co...

Schema integration, Data matching, XML schema, Heterogeneous data (20) Rahm E., Do H, Massmann S. (2004) "Matching large XML schemas", ACM. An XML schema provides standards and rules for the structure of a given XML document. Stefani_/artist_ _year_2004_/year_ _genre_pop_/genre_ _description_ This companies and market places) exchange increasingly large amounts of data. XSLT will use the match ...

Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding pairwise-attribute correspondence. In contrast, we propose a new matching paradigm, holistic schema matching, to holistically match many schemas at the same time and find all the matchings at once. By handling a set of...