We introduce a declarative approach for a coherent composition of autonomous databases. For this we use ID-logic, a formalism that extends classical logic with inductive definitions. We consider ID-logic theories that express, at the same time, the two basic challenges in database composition problems: relating different schemas of the local databases to one global schema (schema integration) a...

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...

A view in object-oriented databases (OODB) corresponds to virtual schema graph with possibly restructured generalization and decomposition hierarchies. We propose a methodology, called MultiView, for supporting multiple such view schemata. MultiView represents a simple yet powerful approach achieved by breaking view speciication into independent tasks: class derivation, global schema integratio...

ion) and in that it neatly separates formal from content operations. Still, we have one further refinement to make. In our view, integration operations may be of two kinds: integration by schematic enrichment and integration by combination. We discuss each mode of integration in turn. Francisco J. Ruiz de Mendoza Ibáñez & Francisco Santibáñez Sáenz 310 Figure 2. Ruiz de Mendoza & Peña’s Combine...

This paper introduces the concept of Intersection Schemas in the field of heterogeneous data integration and dataspaces. We introduce a technique for incrementally integrating heterogeneous data sources by specifying semantic overlaps between sets of extensional schemas using bidirectional schema transformations, and automatically combining them into a global schema at each iteration of the int...

Today, there are several approaches supporting an integrated processing of XML and (object-)relational data sources. However, each of these approaches favors a single data model for integration purposes and, thus, provides just a single query interface, usually either SQL or XQuery. In order to be more flexibly applicable, our SQXML integration system provides both query languages at its interf...

With the growing amount of semantic data published on the Web the problem of coreference resolution gains in importance. The linked data initiative provided guidelines for publishing RDF datasets and new datasets are constantly being made available. Such datasets often contain descriptions of the same real-world entities but use different URIs to refer to them. In order to utilize published dat...

This paper proposes a framework for transforming and integrating heterogeneous XML data sources, making use of known correspondences from them to ontologies expressed in the form of RDFS schemas. Our algorithms generate schema transformation/integration rules which are implemented in the AutoMed heterogeneous data integration system. The paper first illustrates how correspondences to a single o...

Our goal is to work out an integration process which makes it possible to give a global design schema obtained from several schemas, each of them describing the same reality viewed in different ways, in order to obtain the fullest view. Problems and conflicts arise during the schema integration. They are due to the several ways of representing the knowledge semantic and of structuring knowledge...

Data on the Web in HTML tables is mostly structured, but we usually do not know the structure in advance. Thus, we cannot directly query for data of interest. We propose a solution to this problem based on document-independent extraction ontologies. Our solution entails elements of table understanding, data integration, and wrapper creation. Table understanding allows us to find tables of inter...