This document discusses using SMW+ and TripleStoreConnector to integrate relational database data into a wiki. The workflow involves lifting a database schema using OntoStudio, mapping it to a wiki ontology, importing the ontologies into the wiki, and allowing wiki users to formulate queries over the external database from within the wiki using its vocabulary. Support is being developed for lifting SPARQL endpoints in a similar manner. This provides a unified way to access and visualize external data from databases or endpoints within a wiki environment.

1. Data Integration with SMW+
Michael Erdmann, ontoprise, Karlsruhe
SMWCon Fall 2011, Berlin
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2. Data Integration Scenario
 Enterprises typically manage their data in relational databases
 Often a landscape of isolated data silos grows
 Wiki provides one platform for sharing information
 Nevertheless,
 the data bases exist
 contain valuable information
 will not be deserted
 The enterprise use cases we see, often require access to
external data from within the wiki
 Usually the external data sources are relational databases
 Wiki is used as a data access and visualization tool
 Wiki users should be able to formulate queries
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3. Architecture
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4. Architecture
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5. Workflow for Data Integration with SMW+
 OntoStudio  SMW+ / TSC
 Lift database schema  Import ontologies
 Model wiki ontology  Formulate queries (QI)
 Map database ontology to  Create articles containing
inline queries
wiki ontology
 Browse database via Non-
 Test and refine mappings Existing-Pages
 Export ontologies  Potentially, enhance model
 Transfer to Wiki server via annotations
 Adapt and extend wiki
ontology
 Import ontology  Export ontology as OBL
 Test and refine ontology
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6. Query Answering
TSC with OntoBroker
mapping results
manual mappings query
SMW+
generated
ontologies
mapping rules
integrated
results
Wiki
facts lifting automatic ontology
schema
from rules mapping
source
databases
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7. Queries and Results use the Wiki Vocabulary
TSC with OntoBroker
mapping results
manual mappings query
SMW+
generated
ontologies
mapping rules
integrated
results
Wiki
facts lifting automatic ontology
schema
from rules mapping
source
databases
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8. Screen Capture Lifting and Mapping
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9. Summary and Outlook
 SMW+ and TripleStoreConnector realize
 Access to relational data from within SMW
 Using the wiki vocabulary
 Live queries
 Enhance/Extend the data by wiki users in the wiki
 Currently working on
 Supporting the same feature for SPARQL endpoints
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10. Lifting SPARQL Endpoints
 Approach
 Endpoint is queried for its schema information
 Schema is extracted
 Lifting rules are generated
 This results is an ObjectLogic ontology
 This ontology can be integrated and mapped into the wiki
ontology
 It can even be mixed with other data sources, e.g. DBs.
 In the wiki
 Wiki ontology can be used to query and visualize remote data
from the endpoint
 Query Interface supports query building out of the box
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11. Architecture
External Data Sources
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12.  Thank you!
Michael Erdmann
ontoprise GmbH
Karlsruhe, Germany
erdmann@ontoprise.de
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