XML Data Integration by Graph Restructuring

Self Cite

Abstract. This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has been developed to support distributed biological data sources with inconsistent identi cation of biological objects. The architecture uses the AutoMed data integration toolkit to store the schemas of the data sources and the semiautomatically generated transformations from the source data into the data of an integrated warehouse. AutoMed supports bi-directional, extensible transformations which can be used to update the warehouse data as entities change, are added, or are deleted in the data sources.

Section: The Automed Toolkitmentioning

confidence: 99%

Section: The Automed Toolkitmentioning

confidence: 99%

See 1 more Smart Citation

Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit

Maibaum

Zamboulis

Rimon

et al. 2005

Self Cite

“…Higherlevel modelling languages are defined in terms of this HDM. For example, previous work has shown how relational, ER, OO [15], XML [21], flat-file [5] and multidimensional [7] data models can be so defined. An HDM schema consists of a set of nodes, edges and constraints, and each modelling construct of a higherlevel modelling language is specified as some combination of HDM nodes, edges and constraints.…”

Section: Overview Of Automedmentioning

confidence: 99%

“…The extent of an Element construct e consists of all the elements with tag e in the XML document; the extent of each Attribute construct e, a consists of all pairs of elements and attributes x, y such that element x has tag e and has an attribute a with value y; and the extent of each NestSet construct p, c consists of all pairs of elements x, y such that element x has tag p and has a child element y with tag c. We refer the reader to [21] for an encoding of a richer model for XML data sources, called XMLDSS, which also captures the ordering of children elements under parent elements and cardinality constraints. That paper gives an algorithm for generating the XMLDSS schema of an XML document.…”

Section: An Examplementioning

confidence: 99%

Schema Evolution in Data Warehousing Environments – A Schema Transformation-Based Approach

Fan

Poulovassilis

2004

Abstract. In heterogeneous data warehousing environments, autonomous data sources are integrated into a materialised integrated database. The schemas of the data sources and the integrated database may be expressed in different modelling languages. It is possible for either the data source schemas or the warehouse schema to evolve. This evolution may include evolution of the schema, or evolution of the modelling language in which the schema is expressed, or both. In such scenarios, it is important for the integration framework to be evolvable, so that the previous integration effort can be reused as much as possible. This paper describes how the AutoMed heterogeneous data integration toolkit can be used to handle the problem of schema evolution in heterogeneous data warehousing environments. This problem has been addressed before for specific data models, but AutoMed has the ability to cater for multiple data models, and for changes to the data model.

Using Schema Transformation Pathways for Data Lineage Tracing

Fan

Poulovassilis

2005

With the increasing amount and diversity of information available on the Internet, there has been a huge growth in information systems that need to integrate data from distributed, heterogeneous data sources. Tracing the lineage of the integrated data is one of the problems being addressed in data warehousing research. This paper presents a data lineage tracing approach based on schema transformation pathways. Our approach is not limited to one specific data model or query language, and would be useful in any data transformation/integration framework based on sequences of primitive schema transformations.