The document discusses the IKS RESTful Semantic Engine, which adds semantic capabilities to existing content management systems (CMS) through a RESTful interface. It can lift semantics from content, assist with query building, and find similarities and correlations. The engine framework is implemented along with a dummy RESTful interface. Future work includes developing semantic plugins and integrating with industrial and research partners in the IKS Consortium. The goal is to add semantics without unnecessary complexity through a simple interface that can register content, get/update semantic views, and execute queries.

1. top-down
vs.
bottom up
The IKS RESTful Semantic Engine:
Let’s get started!
Bertrand Delacrétaz, Day Software
IKS workshop, Rome November 12th
See also dev.day.com blog post at
http://x42.ch/01.20.01
IKS – Interactive Knowledge Stack for Semantic Content Management Systems

2. IKS engine for existing CMSes
IKS semantic engine
RESTful
Existing interface
CMS

3. IKS semantic engine - complex?
IKS semantic engine
Complexity?
RESTful
Existing interface infrastructure
CMS
Picture: pschubert on morguefile.com

4. Basic CMS extension use cases
Semantic lifting KISS
Classification and auto-tagging
Query building assistance
Similarities, correlation
Picture: pschubert on morguefile.com

5. RESTful interface - simple?
IKS semantic engine
Complexity?
Register content item
Get/update semantic view
Execute query
RESTful
Existing interface infrastructure
CMS

6. The IKS Engine Framework
Implemented: IKS semantic engine
RESTful interface
Engine Framework
Dummy Plugins
Later:
Semantic Plugins
Rocket Science ;-) no rocket
science
(yet)
Register content item
Get/update semantic view
Execute query Semantic
Plugins
API
RESTful
Existing interface infrastructure
CMS
industrial partners researchers
Pictures: mconnors, jusben on morguefile.com

7. The IKS Consortium
Project Lead and Coordination Wernher Behrendt
Salzburg Research Forschungsgesellschaft m.b.H.
Salzburg Research
Jakob Haringer Straße 5/3 | 5020 Salzburg, Austria
T +43.662.2288-409 | F +43.662.2288-222
wernher.behrendt@salzburgresearch.at
www.salzburgresearch.at
Deutsches Universität St. Gallen
Forschungsinstitut
für Künstliche
Intelligenz (DFKI)
Consiglio Software
Nationale delle Quality Lab
Ricerche (CNR) Unversität Paderborn
Software Research and Hochschule Furtwangen
Development
Consultancy Ltd (SRDC)
Nuxeo Sa. Alkacon Software GmbH
TXT Polymedia Pisano Holding GmbH
Nemein Oy Day Software AG