| Scientific Background
Articles |
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Supporting
Keyword Columns with Ontology-based Referential Constraints in DBMS |
The IEEE Computer Society selected Oracle's paper "Supporting
Keyword Columns with Ontology-based Referential Constraints in DBMS"
(PDF 79KB), by Eugene Chong, Souri Das, George
Eadon and Jags Srinivasan as the winner of the Best Industrial Paper Award
at the 2006 International Conference on Data Engineering. The associated
presentation by Souri Das is also available here
(PDF 111KB). |
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An
Efficient SQL-based RDF Querying Scheme |
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.
(PDF 154KB) |
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Supporting
Ontology-based Semantic Matching in RDMS |
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.
(PDF 97KB) |
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Applying
Semantic Web Technologies to Drug Safety Determination |
Identifying signals of events that lead
to undesirable outcomes is historically one of the most challenging aspects
of determining drug safety, both during the drug discovery and development
process and once a drug is released to the market....The Semantic Web provides
new capabilities for data integration that exploits explicit semantics and
well-defined ontologies...The Oracle RFD Data model integrated with Cerebra
Server is a composite solution that addresses the complexities of mediating
information in drug safety. A use case illustrates the situation and how
the composite solution might help. (PDF 166KB) |
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