Stefan Dietze's profile document
Description for Stefan Dietze
Stefan Dietze
Stefan Dietze
Stefan
Dietze
Research Fellow
My research at KMi was focused on Semantic Web Service (SWS) technologies, Knowledge Modelling and Context Modelling in particular. I worked on the NoTube project which follows a SWS-based paradigm to provide unified access to distributed digital media, whereas my previous research was concerned with the application of SWS technologies to the eLearning domain in the LUISA project.
The Open University account for Stefan Dietze
sd5595
Stefan Dietze's membership at KMi
Stefan Dietze's participation in Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
KMi's Semantic Web Services framework
The Internet Reasoning Service - IRS - is a Semantic Web Services framework, which allows applications to semantically describe and execute web services. The IRS supports the provision of semantic reasoning services within the context of the Semantic Web.
Stefan Dietze's participation in LUISA
LUISA
LUISA
2006-03-01
2008-08-31
Learning Content Management System Using Innovative Semantic Web Services Architecture
LUISA is a STREP Project under the European Commission's 6th Framework Programme. LUISA will apply the semantic web service framework, architecture and tools developed with the DIP project, including IRS-III, to eLearning. More specifically, LUISA will create a rich flexible infrastructure supporting the development and reuse of learning materials for both learners and educators. The enhanced architecture will open new possibilities in the automation of learning object discovery, selection, composition and negotiation, within a distributed service architectures seamlessly integrated through ontologies. The longterm goal for LUISA is to shift the paradigm in eLearning from one based on learning objects to one based on semantic web services.
Stefan Dietze's participation in mEducator
mEducator
mEducator
2009-05-01
2012-04-30
Multi-type Content Repurposing and Sharing in Medical Education
mEducator Best Practice Network (BPN) aims to implement and critically evaluate existing standards and reference models in the field of e-learning in order to enable specialized state-of-the-art medical educational content to be discovered, retrieved, shared and re-used across European higher academic institutions.
Stefan Dietze's participation in SugarTube
SugarTube
SugarTube
Semantic Searching
Searching for information, data, and multimedia resources that are semantically related is a key feature of future Internet. Today's path to achieving that vision lies through the Linked Open Data (LOD) cloud of RDF data. SugarTube (Semantics Used to Get Annotated video Recording) is a Web3.0 application to search for videos through RDF-based annotated video stored as part of the Open University Broadcast Unit's learning material. The fundamental technology used to develop the application is Semantic Web Services. Users can search based on keywords, textual analysis of related documents, URLs, or geographical maps. Moreover, SugarTube gathers more useful data from the LOD cloud to enrich the search results, such as related events, people, knowledge, websites, geo-location, maps, and additional video streams from YouTube, the BBC, and OpenLearn.
Stefan Dietze's participation in SmartLink
SmartLink
SmartLink
SeMantic Annotation enviRonmenT for Linked Services
Smart Link is short for "SeMantic Annotation enviRonmenT for Linked Services". Simply put, it is an easy-to-use Web application aiding users in the creation of Linked Services - semantic service annotations following Linked Data (http://linkeddata.org/) principles. Amongst other things, it provides an interface to populate and query the Linked Services repository iServe (http://iserve.kmi.open.ac.uk).
SmartLink builds on existing technologies and standards to enable wide reach of its annotations. Users can annotate arbitrary services - whether REST-ful or WSDL/SOAP-based - via a simple Web form. Annotations are stored in RDF following established service schemas, namely WSMO-Lite (http://cms-wg.sti2.org/TR/d11/) and the Minimal Service Model (MSM, http://iserve.kmi.open.ac.uk/wiki/index.php/Simple_vocabulary) which follow a light-weight approach to Semantic Web Services. Storage of annotations is spread across two public RDF-stores: iServe (http://iserve.kmi.open.ac.uk) handles all functional properties defined in the MSM schema while an additional and SmartLink-specific SESAME repository hosts further non-functional service properties. A unified interface to store and query annotations across both repositories is provided by SmartLink.