Group items tagged

In order to keep data structures in Semantic CrunchBase close to the source API, I used a 1-to-1 mapping between CrunchBase JSON keys and RDF terms (with only a few exceptions). This was helpful for people knowing the JSON API, but it wasn't easy to interlink the converted information with existing SemWeb data such as FOAF, or the various LOD sources.

This is a sub-project of the BioMoby project. It aims to develop tools in Java in order: * to access BioMoby registries, allowing all features provided by such registries, including but not limited to registering and deregistering of the BioMoby services and their parts, discovering them, and understanding their data in various formats (such as RDF), * to create Java implementations of BioMoby services, especially to help service providers with creating BioMoby data containers (input and output data) without exposing providers to the complexity of the XML required and produced by BioMoby services, and finally

# The primary intention of creating aTags is not the categorization of the document, but the representation of the key facts inside the document. Key facts in the biomedical domain might be, for example, "Protein A interacts with protein B" or "Overexpression of protein A in tissue B is the cause of disease C". # An aTag is comprised of a set of associated entities. The size of the set is arbitrary, but will typically lie between 2 and 5 entities. For example, the fact "Protein A binds to protein B" can be represented with an aTag comprising of the three entities "Protein A", "Molecular interaction" and "Protein B". Similarly, the fact "Overexpression of protein A in tissue B is the cause of disease C" can be represented with an aTag comprising of the four entities "Overexpression", "Protein A", "Tissue B" and "Disease C". # Each document or database entry can be described with an arbitrary number of such aTags. Each aTag can be associated with the relevant portions of text or data in a fine granularity. # The entities in an aTag are not simple strings, but resources that are part of ontologies and RDF/OWL-enabled databases. For example, "Protein A" and "Protein B" are resources that are defined in the UniProt database, whereas "Molecular Interaction" is a class in the branch of biological processes of the Gene Ontology. They are identified with their URIs.

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.

The YAGO-NAGA project started in 2006 with the goal of building a conveniently searchable, large-scale, highly accurate knowledge base of common facts in a machine-processible representation. We have already harvested knowledge about millions of entities and facts about their relationships, from Wikipedia and WordNet with careful integration of these two sources. The resulting knowledge base, coined YAGO, has very high precision and is freely available. The facts are represented as RDF triples, and we have developed methods and prototype systems for querying, ranking, and exploring knowledge. Our search engine NAGA provides ranked answers to queries based on statistical models.

Built on top of Calais and scalably hosted on Amazon's EC2 service, the new site at SemanticProxy.com enters public beta today, and enables anyone to easily generate rich semantic metadata for pages on the open web, simply by passing the URL to SemanticProxy.

Supports metadata interoperability: NSDL Registry

We want to make all the world's content more accessible, interoperable and valuable. Some call it Web 2.0, Web 3.0, the Semantic Web or the Giant Global Graph - we call our piece of it Calais. Calais is a rapidly growing toolkit of capabilities that allow you to readily incorporate state-of-the-art semantic functionality within your blog, content management system, website or application.

MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging. While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context. MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users. To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .

NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.

NG4J - 'Named Graphs API for Jena' is an extension to the Jena Semantic Web framework for parsing, manipulating and serializing sets of Named Graphs. For details about Named Graphs see http://www.w3.org/2004/03/trix/

Corrib.org is a cluster project, has been started on the base of cooperation between DERI International and Gdansk University of Technology. So far, it gathers together both open source projects being developed based on that cooperations and people affiliated to different sites.

Topaz is a nonprofit organization of focused on developing open source software around collaborative creation, management and sharing of information.

Everything has to do with everything else. Fenfire is a Free Software project developing a computing environment in which you can express these relationships and benefit from them.

welcome to gnowsis, the Semantic Desktop environment published by the Knowledge Management Lab of the DFKI. Gnowsis is a reference implementation of parts of the Nepomuk Semantic Desktop framework. The Nepomuk project provides a standardized, conceptual framework for Semantic Desktops.Gnowsis can be used in research projects or by interested individuals to benefit from Semantic Web technologies.

Annotea Ubimarks is part of Annotea social bookmarks and topics work in Mozilla. It lets any user familiar with the common bookmark user interface metaphora to create metadata for Semantic Web while the complexities of the Semantic Web are hidden from the users. It also offers users better means to share and combine bookmark data and bookmark categories, or topics from several locations or with other metadata. Topics in Annotea can be very simple tags or they can form hierarchies.

"IKS - Interactive Knowledge Stack is an Integrating Project part-funded by the European Commission. It started in January 2009 and will provide an open source technology platform for semantically enhanced content management systems."

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RDFa ("Resource Description Framework in attributes") is having its five minutes of fame: Google is beginning to process RDFa and Microformats as it indexes websites, using the parsed data to enhance the display of search results with "rich snippets." Yahoo!, meanwhile, has been processing RDFa for about a year. With these two giants of search on the same trajectory, a new kind of web is closer than ever before.

Stuff in, triples out