Semantic search systems are going to play a crucial role in the
evolution from the current Web to the Semantic Web by providing
new, complex functionalities for retrieving, aggregating and
combining information. To successfully accomplish this migration
three main directions shall be considered: different media formats,
different information sources and different search strategies. The
more systems will be able to seamlessly operate on all dimensions,
the more will be the chances to provide an unprecedented level of
versatility to knowledge management systems. This dissertation aims
at building the representation basis for systems able to operate on
all these three axis. A new resource model is proposed, which is
able to support different media formats, to host resource-specific
data such as metadata descriptions, text explanations, etc., and to
provide a container for semantic interpretations of such
resource-specific data (i.e., for semantic knowledge extracted from
it). A real-world case study is discussed, where an adapted version
of a Semantic Indexing and Retrieval platform is used to index and
search several heterogeneous resources.
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!