| Semantic Technologies
Document Archive |
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TopQuadrant's
TopBraid Composer 2.4.0 Adds Clean Support for the Oracle 11g RDF
Data Model—November 9, 2007 (HTML) |
TopQuadrant
is a leading semantic web solutions company providing services, training,
resources and products for developing ontologies and implementing Semantic
Web solutions.
TopBraid
Composer is a comprehensive environment for creating, testing and managing
domain models and ontologies using RDF, RDFS, OWL, SPARQL and SWRL. Composer
comes with built-in DL and rules inference engines. It now offers robust
and scaleable integration with the Oracle Spatial 11g RDF Data Model
enabling creation, modification and query of the information in a secure
DBMS environment. |
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Developing
Semantic Web Applications using the Oracle Database 10g RDF Data
Model—Oracle OpenWorld 2006 Presentation
[PDF 4.58MB] |
This Oracle OpenWorld 2006 presentation by Xavier Lopez,
Director, Server Technologies and Melliyal Annamalai, Principal Member of
the Technical Staff, includes the characteristics of Semantics Technology,
cases where Semantics Technologies are used and an RDF technical update.
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Semantic
Breakthrough—Oracle Magazine, May/June 2006
(HTML) |
This is an article by David Baum. The Semantic Web is
breaking out of research labs and into the back office, as businesses of
all types prove the potential of this far-reaching technology. |
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An
Efficient SQL-based RDF Querying Scheme—VLDB
Conference, 2005 (PDF 154KB) |
Proceedings of the 31st VLDB Conference,
Trondheim, Norway, 2005—This VLDB Conference paper proposes a SQL based
scheme for querying RDF data. Specifically, the RDF_MATCH table function
is introduced with the ability to perform pattern-based match against RDF
data (graph). The expectation is that providing RDF querying capability
as part of SQL will enable a database system to support a wider range of
applications and facilitate building semantically rich applications. |
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Supporting
Ontology-based Semantic Matching in RDMS—VLDB
Conference, 2004 (PDF 97KB) |
By Souripriya Das,
Eugene Inseok Chong, George Eadon, Jagannathan Srinivasan, Proceedings of
the 30th VLDB Conference, Toronto, Canada. Ontologies are increasingly being
used to build applications that utilize domain-specific knowledge. This
paper addresses the problem of supporting ontology-based semantic matching
in RDBMS. The approach enables users to reference ontology data directly
from SQL using the semantic match operators, thereby opening up possibilities
of combining with other operations such as joins as well as making the ontology-driven
applications easy to develop and efficient. In contrast, other approaches
use RDBMS only for storage of ontologies and querying of ontology data is
typically done via APIs. This paper presents the ontology-related functionality
including inferencing, discusses how it is implemented on top of Oracle
RDBMS, and illustrates the usage with several database applications. |
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Over
100 Partners Thoroughly Test and Support Oracle® Database 10g
Release 2—Oracle Press Release, July 11,
2005 (HTML) |
Oracle announces the involvement of over
100 independent software vendors (ISVs), system integrators (SIs), and hardware
vendors in the Oracle® Database 10g Release 2 beta program working
closely with Oracle to help insure Oracle Database 10g Release 2
meets the wide-ranging business needs of its customers including Resource
Description Framework (RDF). |
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Bio-IT
Expo - then and now—S is for Semantics,
May 18, 2005 (HTML) |
Dean Allemang, a Semantic Web consultant
for TopQuadrant Inc., reviews progress made by the semantic web for life
sciences in the last two years. Included are his comments regarding the
impact of Oracle's inclusion of RDF support in Oracle 10g.
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