1. Semantic Technologies for Standards Validation
and Harmonization
Using Semantic Technology to validate Smart Grid Models!
Challenge! Approach! Technology! Architecture!
How to reconcile vocabularies, Convert standard specification into
concepts and relations among all RDF, OWL SPARQL
Query
Editor
the smart grid standards?
Demonstrate a web app for easy TopBraid
Live
on
AWS
Overlapping, different and interrogation of the model by the
sometimes contradictory standardization community Tomcat
vocabularies and definitions among Expose inconsistencies among
Test Model:
standards concepts in different standards to Amazon
Web
Server
(AWS)
ASHRAE/NEMA Facility Smart Grid
harmonize terms Information Model (FSGIM) SPC 201P
Opportunity!
SAMPLE QUERY: To expose non-standard use of data types RESPONSE:
SELECT
DISTINCT
?cls
?role
?range
?rootDatatypeOfRange
WHERE
{
?cls
rdfs:subClassOf
?restriction
.
?restriction
owl:onProperty
?role
.
?restriction
owl:allValuesFrom
?range
.
?range
a
rdfs:Datatype
.
?range
(rdfs:subClassOf)*
?rootDatatypeOfRange
.
?rootDatatypeOfRange
a
rdfs:Datatype
.
?rootDatatypeOfRange
rdfs:subClassOf
rdfs:Resource
.
BIND
(afn:namespace(?rootDatatypeOfRange)
AS
?rootNamespace)
.
FILTER
(((?rootNamespace
!=
"http://schema.omg.org/spec/UML/2.1/uml.xml#")
&&
(?
rootNamespace
!=
"http://www.w3.org/2001/XMLSchema#"))
&&
(!fn:contains(?rootNamespace,
"primitive_data_types-­‐-­‐-­‐common_primitive_types_classes_and_enumerations#")))
.
FILTER
queries:isCoreComponentResource(?cls)
.
}
ORDER
BY
?cls
Other interesting queries: Classes that are defined that nothing points to. Classes that share substantially the same properties.
Impact! Future Work!
Raise the quality of standards Examine the generality of the approach to other standards
Reduce time to build standards STEVE RAY | SURBHI DANGI !
Examine more complex and subtle problems with standards !
Reduce cost for interoperability !
Build mappings using SPARQL inferences to existing RALPH HODGSON | GOKHAN SOYDAN |
Reduce integration costs international standards for common concepts (ISO, W3C, IEC) ANKUR OBERAI!
CARNEGIE MELLON UNIVERSITY SILICON VALLEY – Steve Ray | Christopher Oentojo!
Challenge!
Mobile health care devices remain independent silos of information
App developers do not have the patience to adopt complex standards
There is limited ability to coordinate or share data among devices
from different vendors
Approach!
Build a lightweight, easy to implement ontology of data that maps to
international standards, but is easy for most devices to support, to
encourage adoption
hsl = Healthcare Semantics Light (developed at CMU) subset = Subset of IEEE11073 – 10417/ 10415 / 10404 / 10407 / 10408
Impact ! Future Work !
Our ontology allows app developers to easily create apps that are interoperable with Map concepts to other ontologies (e.g. SUMO and UMBEL)
healthcare devices, at little cost. Our work aims to contribute to the growing effort Migrate paper-based standards into a computer readable form that
toward home healthcare supports inferencing and automated validation