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We want to be the leading organization in knowledge management and knowledge technologies in Austria. We want to be among the leading industry-based and application-oriented research institutions in knowledge management and knowledge technologies in Europe.

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FolkTalk: Distribute regional content to consumers in their preferred languages (folktalk.in).

Wikidata aims to create a free knowledge base about the world that can be read and edited by humans and machines alike. It will provide data in all the languages of the Wikimedia projects, and allow for the central access to data in a similar vein as Wikimedia Commons does for multimedia files. Wikidata is currently in development.

Create autonomous systems including interactive physical robots and synthetic characters in virtual worlds that learn to communicate in human-like ways; (2) Understand how children learn to communicate through longitudinal in vivo observation and analysis; (3) Develop tools for visualizing, searching, and analyzing large corpora (e.g., video) using task-dependent semantic models.

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The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. SUMO is written in the SUO-KIF language. SUMO is free and owned by the IEEE. The ontologies that extend SUMO are available under GNU General Public License. Adam Pease is the Technical Editor of SUMO.

The OBO Foundry is a collaborative experiment involving developers of science-based ontologies who are establishing a set of principles for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. The groups developing ontologies who have expressed an interest in this goal are listed below, followed by other relevant efforts in this domain.

Hypernotation, a novel idea of publishing structured data on the Web. For now, it's just a single page with basic information, while the more details can be found in the Hypernotation category on http://milicicvuk.com/blog. in addition, here you'll find DBpedia dataset published using Hypernotation. You can browse the data and see what it looks like in practice. Also, be sure to check out the examples bellow.

The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing paradigms and large data processing technologies - such as cloud computing, MapReduce, Hadoop, Mahout, and column databases - to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. Building on current advancements, the solution foreseen in

This dataset contains information about multi-media content published by the European Parliament at http://audiovisual.europarl.europa.eu/. Media assets of type video, audio and image are contained. All assests are annotated with primary metadata (e.g., length, resolution, size, etc.), as well as topic metadata. Where topics are people, those are represented as complex resources in their own right, with names, roles in organisations, etc. Organisations are located in countries according to the Kasabi country dataset.

The LOV dataset contains the description of RDFS vocabularies or OWL ontologies defined for and used by datasets in the Linked Data Cloud. Whenever available each vocabulary includes references to the datasets using it, in particular those listed in CKAN.

rNews is an approved standard for using semantic markup to annotate news-specific metadata in HTML documents. rNews has been developed by the IPTC, a consortium of the world's major news agencies, news publishers and news industry vendors. After a couple of months of development rNews is at production level now, version 1.0 was approved in October 2011. The IPTC welcomes feedback on how to improve the standard in the rNews Forum.