Semantic Web Services Integration for Biomedical Applications
Scaleus is a semantic web migration tool designed to be simple to deploy and use. The solution is tailored to help users in the creation of new semantic web applications from scratch. In a single package, we include a high-perfomance triplestore supporting multiple independent datasets, simplified API and services for data integration and management, and a SPARQL query engine, supporting real-time inference mechanisms and optimized text searches over the knowledge base.
AngularJS + Jetty Embedded (RESTfull API) + Apache Jena Framework
- Easy to deploy.
- Simple RESTfull API for data management.
- RDFS Inference support over SPARQL queries. Inference rules are also supported.
- Multiple datasets support.
- Spreedsheet import (.xlsx, .xls, .ods, etc.).
Simple run the application at http://localhost/scaleus/:
java -jar target/scaleus-1.0-jar-with-dependencies.jar
Run in another port:
java -jar target/scaleus-1.0-SNAPSHOT-jar-with-dependencies.jar -p {port}
Run and import data:
java -jar target/scaleus-1.0-SNAPSHOT-jar-with-dependencies.jar -d {dataset_name} -i {file_location}
List all datasets available:
GET /api/v1/dataset/ HTTP/1.1
Content-Type: application/json
Add dataset:
POST /api/v1/dataset/{dataset} HTTP/1.1
Remove dataset:
DELETE /api/v1/dataset/{dataset} HTTP/1.1
SPARQL endpoint:
GET /api/v1/sparqler/{dataset}/sparql?query={query}&inference={inference}&rules={rules}&format={format} HTTP/1.1
Content-Type: application/json
Sample parameters:
query = SELECT * { ?s ?p ?o } LIMIT 100
inference = true | false
rules = [rule1: (?x rdfs:subClassOf ?y), (?a rdf:type ?x) -> (?a rdf:type ?y)] [rule2: ... ]
format = json | rdf | ttl | rdf | text | csv
Store triple:
POST /api/v1/store/{dataset} HTTP/1.1
Content-Type: application/json
{
"s":"http://bioinformatics.ua.pt",
"p":"http://purl.org/dc/elements/1.1/title",
"o":"University of Aveiro"
}
Remove triple:
DELETE /api/v1/store/{dataset} HTTP/1.1
Content-Type: application/json
{
"s":"http://bioinformatics.ua.pt",
"p":"http://purl.org/dc/elements/1.1/title",
"o":"University of Aveiro"
}
Add namespace:
POST /api/v1/namespaces/{dataset} HTTP/1.1
Content-Type: application/json
{
"prefix": "coeus",
"namespace": "http://bioinformatics.ua.pt/coeus/"
}
Remove namespace:
DELETE /api/v1/namespaces/{dataset}/{prefix} HTTP/1.1
Content-Type: application/json
Get namespaces:
GET /api/v1/namespaces/{dataset} HTTP/1.1
Content-Type: application/json
Get resources matching:
GET /api/v1/resources/{dataset}/{match} HTTP/1.1
Content-Type: application/json
Get properties matching:
GET /api/v1/properties/{dataset}/{match} HTTP/1.1
Content-Type: application/json
Get TTL data:
GET /api/v1/data/{dataset} HTTP/1.1
Content-Type: text/plain
Replace TTL data:
POST /api/v1/data/{dataset} HTTP/1.1
Content-Type: application/x-www-form-urlencoded
@prefix coeus: <http://bioinformatics.ua.pt/coeus/> .
@prefix dc: <http://purl.org/dc/elements/1.1/> .
coeus:ieeta dc:title "University of Aveiro" .
Describe Resource:
GET /api/v1/resource/{dataset}/{prefix}/{resource}/{format} HTTP/1.1
Sample parameters:
format = json | rdf | ttl | ld
Please use this reference when citing SCALEUS in your work: