We propose a path-based scheme for storage and retrieval of RDF data using a relational database. The Semantic Web is much anticipated as the nextgeneration web where high-level processing of web resources are enabled by underlying metadata described in RDF format. A typical application of RDF is to describe ontologies or dictionaries, but in such applications, the size of RDF data is large. As...

UNLABELLED Mechanistic 'whole-cell' models are needed to develop a complete understanding of cell physiology. However, extracting biological insights from whole-cell models requires running and analyzing large numbers of simulations. We developed WholeCellSimDB, a database for organizing whole-cell simulations. WholeCellSimDB was designed to enable researchers to search simulation metadata to i...

This paper examines the properties of metadata in the form of IF THEN rules which contain two predicates on attributes of a relational database table. For example: a(15 .. 30) ⇒ d(243 .. 271), which means "if the value of attribute 'a' in a tuple is in the range 15 to 30 then the value of attribute 'd' will be in the range 243 to 271." Metadata of this kind is useful in Semantic Query Optimisat...

At present, a machine learning application is accomplished by carefully crafting a single table from an often complex, multi-table database. The metadata necessary to create this table is rarely formally recorded, and is sometimes implicit in the structure of the database or the typing of the attributes. We categorize the types of metadata that we have encountered in our work with machine learn...

Data description or metadata presents a significant database management challenge, particularly for scientific and statistical databases. Ideally, we would llke to access and manipulate data and metadata using the same DBMS tools, but there are few systems that even begin to provide such integrated capabilities. This paper outlines a framework for more integrated metadata management by synthesi...

Despite continual improvements in the performance and reliability of large scale file systems, the management of file system metadata has changed little in the past decade. The mismatch between the size and complexity of large scale data stores and their ability to organize and query their metadata has led to a de facto standard in which raw data is stored in traditional file systems, while rel...

The eXtended Markup Language (XML) is quickly emerging as the universal format for publishing and exchanging data on the World Wide Web. As a result, data sources, including object-relational databases, are now faced with a new class of users and applications; customers and programs that would like to deal directly with XML data rather than being forced to deal with the data source’s particular...

The management of multimedia data in object-relational database systems presents a challenging problem for extracting, processing, and managing associated metadata. This information is usually embedded within the media source using proprietary formats, thus not easily accessible in a uniform fashion. This poses a need for a series of structural transformations to ensure that the metadata gather...