Here, we describe RKD 2.0, an updated RKD that integrates metadata from genes expressed in particular tissues and in response to abiotic/biotic stresses and hormone treatments.
The main goal of this work is to generate Semantic Web metadata, which is expressed by RDF, of a Web site or other Web document sets systematically.
The chapter discusses how temporal design requirements are expressed in metadata associated with a conventional logical data model, how this metadata is used to convert nontemporal table schemas into bitemporal table schemas, and also how it is used to generate the code, such as stored procedures, that enforce both temporal entity integrity and temporal referential integrity on those tables.
The Long Term Ecological Research LTERR) Network now screens all packages entering its long-term archive to ensure completeness and quality, and to ascertain that metadata and data are structurally congruent, i.e., that the data typing and formats expressed in metadata agree with that found in data entities.
All involved information within the system is XML-based and uses special languages for expressing metadata and temporal relationships between Web hypermedia documents.
To support interoperability with other agricultural datasets we are seeking to add semantic annotations to our existing datasets and express metadata for experiment features, such as site, environmental conditions, plot descriptions and experiment design using, and where appropriate, adding to existing ontologies, such as AGROVOC (http://aims.fao.org/standards/agrovoc/linked-data).
Therefore, information cannot be reliably inferred from the identifier itself, and should instead be expressed through its metadata in a standard way [40].
● RDF Generator: The module is responsible for generating of RDF metadata, which will be physically expressed by extensible markup language (XML) or other formats, from extracted semantic and structural information.
The metadata retrieval syntax is similar across different APIs, as shown in the following examples: > For SPARQL semantic querying, metadata (including filters and attributes) is expressed through an ontology as an RDF/XML document that can be retrieved from the SPARQL endpoints.
It appends to the object graph the metadata needed to determine which ontology languages and ontologies are used, how they are implemented, how cardinality, aggregation etc. are expressed, and passes both the data and metadata to the object layer.
