Resources

Our resources directory contains valuable information that allows you to thoroughly evaluate and understand the benefits of joining the IKS community.

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Introduction to the Semantic Web This presentation was made by Stefane Fermigier and Olivier Grisel - Nuxeo at the Solutions Linux - Paris - May 2011. Read more
Apache Stanbol Alfresco Integration Integration of the Apache Stanbol, the open source RESTful Semantic Engine into Alfresco, the leading open source enterprise content management system. An IKS Early Adopter, Zaizi integrated Alfresco and provide an entirely open source semantic stack. Zaizi are an Alfresco partner based in London, UK. Read more
VIE² Knowledge Interaction and Presentation This demonstration shows how the VIE² framework allows web developers to offer interaction with semantic content in a web interface. In the screencast a content creator is composing an article about the Eiffel Tower. Read more
Stanbol Enhancer Benchmarks This short video provides an overview of the Stanbol Enhancer Benchmarks Read more
Screencast of the Semantic Linking addon for Nuxeo DM This video introduces the first iteration of the integration of the Stanbol enhancement engines in the Nuxeo Document Management application. Read more
KReS functionality demonstrations This short video demonstrates two prototypes showing the use of knowledge representation and reasoning (KReS) IKS components for: (i) integrity check for remote data fusion, (ii) search engine optimization Read more
Peter Mika Keynote Speech A keynote speech at the IKS Rome Semantic Search Challenge workshop in 2009. Read more
Ontological Representation IKS stack enables CMSes to extract and enhance their content into an ontological representation. Now, it also provides search functionalities over the ontological representation and presents results beyond the full text search. Read more
IKS Logos This file contains the IKS logos in various file formats and colour schemes. Read more
Towards a pattern science for the Semantic Web With the web of data, the semantic web can be an empirical science. Two problems have to be dealt with. The knowledge soup problem is about semantic heterogeneity, and can be considered a difficult technical issue, which needs appropriate transformation and inferential pipelines that can help making sense of the different knowledge contexts. The knowledge boundary problem is at the core of empirical investigation over the semantic web: what are the meaningful units that constitute the research objects for the semantic web? This question touches many aspects of semantic web studies: data, schemata, representation and reasoning, interaction, linguistic grounding, etc. Read more