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See also: http://lists.w3.org/Archives/Public/semantic-web/2008Apr/0005.html NaturalOWL is an open-source natural language generation engine written in Java. It produces descriptions of individuals (e.g., items for sale, museum exhibits) and classes (e.g., types of exhibits) in English and Greek from OWL DL ontologies. The ontologies must have been annotated in RDF with linguistic and user modeling resources. We demonstrate a plug-in for Protege that can be used to produce these resources and to generate texts by invoking NaturalOWL. We also demonstrate how NaturalOWL can be used by robotic avatars in Second Life to describe the exhibits of virtual museums. NaturalOWL demonstrates the benefits of Natural Language Generation (NLG) on the Semantic Web. Organizations that need to publish information about objects, such as exhibits or products, can publish OWL ontologies instead of texts. NLG engines, embedded in browsers or Web servers, can then render the ontologies in multiple natural languages, whereas computer programs may access the ontologies directly.

The NeuroCommons project seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as useable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

The World Federation of UN Associations is an independent, non-governmental organization with Category One Consultative Status at the Economic and Social Council (ECOSOC) and consultative or liaison links with many other UN organizations and agencies. The Millennium Project functions under the auspices of WFUNA. The Millennium Project of WFUNA is a global participatory futures research think tank of futurists, scholars, business planners, and policy makers who work for international organizations, governments, corporations, NGOs, and universities. The Millennium Project manages a coherent and cumulative process that collects and assesses judgements from its several hundred participants to produce the annual "State of the Future", "Futures Research Methodology" series, and special studies such as the State of the Future Index, Future Scenarios for Africa, Lessons of History, Environmental Security, Applications of Futures Research to Policy, and a 700+ annotated scenarios bibliography.

Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. Human Protein Reference Database (HPRD) integrates data, that is deposited in Human Proteinpedia along with the existing literature curated information in the context of an individual protein. All the public data contributed to Human Proteinpedia can be queried, viewed and downloaded.

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The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information. In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it". For details read the latest version of the full definition (with explanatory annotations). The history page includes a changelog and links to all previous versions.

The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information. In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it". For details read the latest version of the full definition (with explanatory annotations). The history page includes a changelog and links to all previous versions.

This ontology supports the development of Protégé ontologies using the OntoClean methodology (PDF). This methodology for ontological analysis was developed by N. Guarino and C. Welty. The OntoClean methodology applies the notions used for ontological analysis in philosophy to analyzing conceptual modeling in information systems. If you include this Protégé ontology in your ontology, you can annotate your classes with meta-properties of identity, unity, essence, and dependence. The OntoClean ontology in Protégé also contains constraints in the Protégé Axiom Language (PAL) enabling you to verify whether the ontology is "clean"---does not violate any of the constraints based on these properties.

KHarvester (Informal Knowledge Harvester) is a SOA layer which collects RDF data from web pages. It provides REST based Web Services for managing data available on Social Semantic Information Sources (SSIS): semantic blogs, semantic wikis, and JeromeDL (the Social Semantic Digital Library). These Web Services allow saving harvested data in the informal knowledge repository, and providing them in a form of informal Learning Objects (LOs) that are described accroding to LOM (Learning Object Metadata) standard. Also, IKHarvester is an extension to Didaskon system. Didaskon (διδάσκω - gr. teach) delivers a framework for composing an on-demand curriculum from existing Learning Objects provided by e-Learning services (formal learning). Moreover, the system derives from SSIS which provide informal knowledge. Then, the selection and work-flow scheduling of Learning Objects is based on the semantically annotated specification of the user's current skills/knowledge (pre-conditions), anticipated resulting skills/knowledge (goal) and technical details of the clients platform.

Welcome to PDBWiki - A community annotated knowledge base of biological molecular structures

Faviki is a social bookmarking tool that allows users to annotate the contents of web pages by Wikipedia concepts. Using Wikipedia as a source of a universal controlled vocabulary, it provides so-called 'semantic tags' which are standardized and computer-interpretable. In this way, Faviki is able to solve some common problems related to classic 'folksonomy' tags, in particular: polysemy, synonymy, different lexical forms, and lack of a commonly agreed meaning of terms. In a wider perspective, Faviki aims to speed up the transition from Web 2.0 to the Semantic Web.

I want a page, a site, a thing that is created, curated, edited, and discussed. It's a blog that treats a topic as an ongoing and cumulative process of learning, digging, correcting, asking, answering. It's also a wiki that keeps a snapshot of the latest knowledge and background. It's an aggregator that provides annotated links to experts, coverage, opinion, perspective, source material. It's a discussion that doesn't just blather but that tries to accomplish something (an extension of an article like this one that asks what options there are to bailout a bailout). It's collaborative and distributed and open but organized.

LT4eL (Language Technology for e-Learning) develops a framework of multilingual language technology tools and semantic web techniques for improving the retrieval and the metadata annotation of learning material.

The present research analyses the 'social visualization' tool Sense.us, a commercial interactive Web application in which U.S. Census data are visualized. Sense.us was developed as a tool for social data exploration and interaction, in which it would be worthwhile to pay attention to the socio-cultural values that have driven the collection and categorization of the underlying U.S. Census datasets. It is argued that closer attention to value driven U.S. Census statistics would greatly enhance the social appeal of Sense.us, and would be a logical next step in the development of online social visualization tools. In order to allow for explicit socio-cultural values of statistics in online visualizations, three strategies are offered: pro-active annotation; more attention to visual aesthetics; and, a tighter integration of user profiles and represented data.

Collaborative Protégé is an extension of the existing Protégé system that supports collaborative ontology editing as well as annotation of both ontology components and ontology changes.

OWL 2 extends the W3C OWL Web Ontology Language with a small but useful set of features that have been requested by users, for which effective reasoning algorithms are now available, and that OWL tool developers are willing to support. The new features include extra syntactic sugar, additional property and qualified cardinality constructors, extended datatype support, simple metamodeling, and extended annotations.

Ensembl is a joint project between EMBL - EBI and the Sanger Institute to develop a software system which produces and maintains automatic annotation on selected eukaryotic genomes. Ensembl is primarily funded by the Wellcome Trust. This site provides free access to all the data and software from the Ensembl project. Click on a species name to browse the data.

In ECOSPACE, the Semantically Interlinked Online Community (SIOC) is used to facilitate CWE interoperability [1, 2]. SIOC provides an ontology for representing rich data from the Social Web in RDF. The SIOC ontology was recently published as a W3C Member Submission, which was submitted by 16 organisations [3]. The SIOC Core ontology defines the main concepts and properties required to describe information from online communities on the Semantic Web. The main terms in the SIOC Core ontology are shown in Figure 1. The basic concepts in SIOC have been chosen to be as generic as possible, thereby enabling many different kinds of user-generated content to be described. Once proprietary CWE data is annotated with the SIOC ontology, it becomes interpretable by other CWEs. Based on this, a CWE Interoperability Architecture has been designed.

A system and method for organizing knowledge in such a way that humans can find knowledge, learn from it, and add to it as needed is disclosed. The exemplary system has four components: a knowledge base, a learning model and an associated tutor, a set of user tools, and a backend system. The invention also preferably comprises a set of application programming interfaces (APIs) that allow these components to work together, so that other people can create their own versions of each of the components. In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools. The knowledge may be in the form of documents or other media, or it may be a descriptor of a book or other physical source. Each piece of knowledge is associated with various types of meta-knowledge about what the knowledge is for, what form it is in, and so on. The information in the knowledge base can be created specifically for the knowledge base, but it can also consist of information converted from other sources, such as scientific documents, books, journals, Web pages, film, video, audio files, and course notes. The initial content of the knowledge web comprises existing curriculum materials, books and journals, and those explanatory pages that are already on the World Wide Web. These existing materials already contain most of the information, examples, problems, illustrations, even lesson plans, that the knowledge web needs. The knowledge base thus represents the core content (online documents or references to online or offline documents); the meta-knowledge that was created at the time of entry; and a number of user annotations and document metadata that accumulate over time about the usefulness of the knowledge, additional user opinions, certifications of its veracity and usefulness, commentary, and connections between various units of knowledge.

The GoodRelations ontology provides the vocabulary for annotating e-commerce offerings (1) to sell, lease, repair, dispose, and maintain commodity products and (2) to provide commodity services. GoodRelations allows describing the relationship between (1) Web resources, (2) offerings made by those Web resources, (3) legal entities, (4) prices, (5) terms and conditions, and the aforementioned ontologies for products and services (6). For more information, see http://purl.org/goodrelations/ Note: The base URI of GoodRelations has changed to http://purl.org/goodrelations/v1. Please make sure you are only using element identifiers in this namespace, e.g. http://purl.org/goodrelations/v1#BusinessEntity. T