Information Technology Reference
In-Depth Information
1. (semantic) search and browsing
2. integration of heterogeneous information sources
3. analytics and knowledge discovery capabilities
With the presence of the ontology models in such envisaged software devel-
opment realization, the possibility for the validation and the compatibility testing
of the integrated solutions can be verified in an upfront manner; even before the
real software integration takes place. It is expected that such envisaged software
integration process will be of a better quality, as the involved concepts and
methodologies
will
come
with
a
more
explicit
and
declarative
knowledge,
enabling the knowledge discovery and data (KDD) mining.
1.1.5 Ontology and 3D Graphics
The problem in associating the semantic information to 3D models can be solved
by applying the two web-based software standards: X3D (eXtensible 3D—X3D
Graphics) [ 26 , 27 ] and Semantic Web [ 28 ] (Fig. 1.7 ).
The main idea of the Semantic Web is to delegate many current human-specific
activities to computers, and therefore data need to be presented in a machine-
readable format. Since XML (eXtensible Markup Language) is intended for
describing the meaning of Web data (or, in other words, their semantics), most of
the current Semantic Web technologies belong to the XML family and the
respective layers combining the Uniform Resource Identifier (URI), Namespaces,
and Unicode technologies are also XML based. The XML models are the essential
part of the Semantic Web as they do not embrace only the domain-specific content
(such as design data) but also the ''technological'' aspects modeled also as XML
(such as Extensible Stylesheet Language Transformations (XSLT) [ 29 ], Resource
Description Framework (RDF) [ 30 ], or Web Ontology Language (OWL) [ 31 ])
(Fig. 1.8 ).
Ontologies represent the fundamental models for the Semantic Web imple-
mentation, as they offer appropriate mechanisms to describe relationships between
objects and properties, as for example not found in X3D.
The multidisciplinary information visualization is inherently complex, and to
enable the efficient interaction with 3D/4D space-time domain, the graphics
content of the created and displayed models could be enriched with a domain-
specific knowledge, in order that users can effectively query, interpret, personalize,
and manipulate the visualized information. The semantic enrichment of 3D models
plays important roles as follows: (a) enables users to understand and interact with
the complex and sometimes incomprehensive displayed representations, (b)
underpin the creation of the user-friendly and ergonomic Graphical User Interface
(GUI), and (c) providing a knowledge base for the intelligent queries.
To demonstrate the mentioned approach, an example of the multiphysics fluid-
structure
interaction
(FSI)
problem
was
chosen,
as
combines
the
numerical
Search WWH ::




Custom Search