In this paper we present our system for efficient storage, update, and retrieval of web service metadata documents in relational database. Initially we investigate all of the existing approaches for efficient storage and retrieval of XML documents in relational database. As a result we selected a recently proposed structure-centered storage schema named DLN (Dynamic Level Numbering). As there i...

GML (Geography Markup Language) uses the XML pattern and it possesses mechanisms and conventions to describe geographical information. This paper describes a solution for the storage of GML documents in object-relational database management systems (ORDBMS) supplying the support for the metadata and allowing the integration of the delegated systems and geographical data (in the GML format ) in ...

This paper proposes an effective approach to keyword query in relational databases. It uses a semantic graph model consisting of database metadata, database values, user terms, and their semantic connections.

Scientific data are increasingly described by metadata based on detailed XML schemata that capture both general and domain-specific concepts about the underlying data. Metadata captured using detailed XML schemata tailored to specific scientific domains increases the potential for data reuse by providing the ability to discover data products described by detailed concepts. Since such metadata i...

For a company with many databases in different data models, it is necessary to consolidate them into one data model interchangeable and present data in one data model concurrently to users. The benefit is to let user stick to his/her own data model to access database in another data model. This paper presents a semantic metadata to preserve database constraints for data materialization to suppo...

The goal of the paper is to define reversible, information preserving transformation from OWL 2 ontologies into relational databases using our proposed hybrid approach, when a part of ontology constructs is directly represented by relational database structures and another part having no direct correspondences in a relational database is stored in metadata tables. The desirable transformation i...

The Earth System Science Workbench (ESSW) is a nonintrusive data management infrastructure for researchers who must also be data publishers. An implementation of ESSW to track the processing of locally received satellite imagery is presented, demonstrating the Workbench’s transparent and robust support for archiving and publishing data products. ESSW features a Lab Notebook metadata service, a ...

An important kind of semantic conflicts arising in database interoperability are schematic discrepancies, where data in one database correspond to metadata in another. We present a general solution to these discrepancies, based on a framework of two dimensions: generalization and aggregation. Operations to transform metadata into data and vice versa are defined, in the relational model and in a...

Article history: Received 12 October 2008 Received in revised form 8 March 2010 Accepted 11 March 2010 Available online 23 March 2010 Provenance metadata has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. The provenance management problem concerns the efficiency and effectiveness of...

The aim of the CTU Prague Relational Learning Repository is to support machine learning research with multi-relational data. The repository currently contains 50 SQL databases hosted on a public MySQL server located at relational.fit.cvut.cz. A searchable meta-database provides metadata (e.g., the number of tables in the database, the number of rows and columns in the tables, the number of fore...