=Paper=
{{Paper
|id=Vol-1546/poster_45
|storemode=property
|title=Automated Generation of SADI Web Services for Clinical Intelligence using Ruled-Based Semantic Mappings
|pdfUrl=https://ceur-ws.org/Vol-1546/poster_45.pdf
|volume=Vol-1546
|authors=Mohammad Sadnan Al Manir,Alexandre Riazanov,Harold Boley,Artjom Klein,Christopher J.O. Baker
|dblpUrl=https://dblp.org/rec/conf/swat4ls/ManirRBKB15
}}
==Automated Generation of SADI Web Services for Clinical Intelligence using Ruled-Based Semantic Mappings==
https://ceur-ws.org/Vol-1546/poster_45.pdf
Automated Generation of SADI Web Services
for Clinical Intelligence using Ruled-Based
Semantic Mappings
Mohammad Sadnan Al Manir1 , Alexandre Riazanov2 ,
Harold Boley3 , Artjom Klein2 and Christopher J.O. Baker1,2
1
Department of Computer Science and Applied Statistics
University of New Brunswick, Saint John, Canada
{sadnan.almanir,bakerc}[at]unb.ca
2
IPSNP Computing Inc
{alexandre.riazanov,Artjom.Klein}[at]ipsnp.com
3
Faculty of Computer Science
University of New Brunswick, Fredericton, Canada
harold.boley[at]unb.ca
Abstract. We present a framework that automates the generation of
SADI semantic web services from declarative service descriptions and se-
mantic mappings to relational data. Mappings are specified in a Datalog
sublanguage of Positional-Slotted Object-Applicative (PSOA) RuleML.
We outline a novel methodology, a system architecture, and a prototype
implementation for service generation. A proof-of-concept implementa-
tion and preliminary evaluation of the approach was conducted by gen-
erating a set of SADI services over a database representing a fragment of
a hospital research data warehouse. These automatically generated fully
functional services are used to answer simple SPARQL queries.
Infection control practitioners involved in surveillance for Hospital-Acquired
Infections (HAI) need to access multiple sources of clinical data in relational
databases. Ad-hoc retrieval of information from these databases requires knowl-
edge of query languages like SQL, albeit surveillance and decision making would
be more efficient if practitioners could retrieve relevant data without IT support.
Semantic Querying facilitates self-service querying by non-technical users as
described recently in HAIKU [1], where SADI Semantic Web services were de-
ployed on relational databases to provide access to HAI-related data from The
Ottawa Hospital (TOH) Data Warehouse (DW). While the method successfully
enables domain experts (e.g. surveillance practitioners) to semantically query
relational data using terminologies from domain specific ontologies, it requires
prior scripting of Java code and SQL queries to operationalize the SADI Web
services. This is labor-intensive, error-prone, and mandates the availability and
involvement of surveillance practitioners to consult with the IT personnel during
service creation. As such, the process is a good target for automation.
Expanding on our previous work [2], we present an architecture designed to
support semantic query rewriting Fig. 1, where SADI Semantic Web service code
is generated automatically from declarative input and output descriptions, and a
semantic mapping of the source data in PSOA RuleML [3]. Our implementation
of the architecture facilitates Web service generation without human intervention
and end users are able to run queries executing the generated services using SADI
query engines, such as SHARE and HYDRA [1] 4 .
Fig. 1: Architecture supporting the automation of SADI Semantic Web service generation
The service generation process relies on four distinct modules working to-
gether: a Semantic Mapping Module representing the correspondence of a DB
schema to a domain ontology, a Service Description Module where service in-
puts and outputs are formalized, an SQL-template Query Generator Module,
and a Service Generator Module to output executable Java code for a SADI web
service. Generated services are then indexed in a SADI registry.
In testing the query engine, HYDRA was able to discover the appropriate
services in the registry and execute queries over the data. Based on a list of
previously identified target use cases [1], our system is being further evaluated
for its utilty in provisioning Semantic Querying to access HAI-related data from
TOH DW. A list of frequently asked questions 5 is available for interested readers.
References
1. Riazanov A., Klein A., Shaban-Nejad A., Rose G. W., Forster A. J., Buckeridge D.
L., and Baker C.J.O. Semantic querying of relational data for clinical intelligence:a
semantic web services-based approach. J. Biomedical Semantics.
2. Al Manir M.S., Riazanov A., Boley H., and Baker C.J.O. Generating Semantic
Web Services from Declarative Descriptions. In Proc. 4th Canadian Semantic Web
Symposium, co-located: Semantic Trilogy 2013, Montreal, QC, Canada.
3. Harold Boley. PSOA RuleML: Integrated Object-Relational Data and Rules. In
Wolfgang Faber and Adrian Paschke, editors, Reasoning Web. Web Logic Rules
(RuleML 2015) - 11th Int’l Summer School 2015, Berlin, Germany, July 31- August
4, 2015, volume 9203 of Lecture Notes in Computer Science. Springer, 2015.
4
http://ipsnp.com/hydra/ and http://ipsnp.co/demo-videos/
5
http://cbakerlab.unbsj.ca:8080/swat4ls15/poster/faq.html
2