By Michel Klien (Editor) Borys Omelayenko (Editor)
Lately the world of the Semantic net has acquired major significance inside of either academia and industries. rather than the present net essentially facing textual details, the Semantic internet has to house conceptual and data versions. those types have to be translated among various languages, representations, and modeling paradigms to allow worldwide version seek, retrieval and composition. The ebook covers major matters in remodeling overwhelming majority of types for use within the context of the Semantic net: XML schemas, relational types, UML diagrams, RDF schemas, and ontologies. various useful methods are offered within the publication in addition to discussions on a few theoretical matters that come up alongside the best way.
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Extra info for Knowledge Transformation for the Semantic Web
Capture the representation scheme or data model explicitly—by instantiating and composing the basic structures (or construct types) of a metamodel, 2. , we model schema-instance relationships for representation schemes where schema (or type information) can be required, optional, or can occur at multiple levels, and 3. , by allowing users to indicate simple correspondences between data model constructs and converting the associated information automatically. The rest of this chapter is organized as follows.
4 Running Example as MOF Object Diagram The object diagram in Figure 3 shows three things: (1) The ER schema as well as (2) the Relational schema from Figure 2 and (3) the formal transformation between them. That object diagram belongs to metaclass diagram given in Figure 1. It is a screenshot of the USE system. The object diagram is divided into four parts: (1) The upper part with white object rectangles for Transformation, ERSchema, and RelSchema objects, (2) the middle left part with light grey rectangles for components of the Entity-Relationship schema, (3) the middle right part with dark grey rectangles for components of the Relational schema, and (4) the lower part with white rectangles for data types.
Both main Entity-Relationship schema components are translated into a relation, respectively. Relation Person possesses two attributes passport and gender. Relation Marriage owns three attributes wife_passport, husband_passport, and date. Again, key attributes are underlined. Thus, the key for relation Person consists of attribute passport, and the key for relation Marriage is made of two attributes wife_passport and husband_passport. The data types of attributes are notated in both schemata after colons.