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Knowledge Hives has been risen in the research community where contributing to the open source was a very common practice. We understand that in order to support the coming of third generation of the Internet (Web 3.0) a host of open source software needs to become widely accessible. Apart from our contribution to open source solutions delivered by others, a part of the mission of Knowledge Hives is to continue the research and development efforts of the Corrib.org group that has delivered many open source projects based on the research on the Web 3.0. In addition to publishing our own open source solutions and contributing to the existing open source projects, especially from the Corrib.org group, we provide commercial support that allows to leverage the potential of the open source software in more demanding environments, e.g., enterprises or large organizations.

Uberblic.org is an integration service for data on the web. It acts as a layer between data publishers and data consumers. It consolidates and reconciles information in real time into a central data repository, and provides developer APIs on top. We make this consolidated data repository available to everyone who needs access to integrated web data, ranging from web developers to large enterprises. The consolidation platform imports information from open data sources like Wikipedia, Geonames, Musicbrainz, TheMovieDB, and others, can mirror changes from these original data sources in real time, and can integrate enterprise data sources into private consolidated views.

CKAN is the world's leading open-source data portal platform. It is a complete out-of-the-box software solution that makes data accessible - by providing tools to streamline publishing, sharing, finding and using data. CKAN is aimed at data publishers (national and regional governments, companies and organizations) wanting to make their data open and available.

This is an open-source "spin-off" from the Simile project at MIT. Here we offer free, open-source web widgets, mostly for data visualizations. They are maintained and improved over time by a community of open-source developers.

The Silk framework is a tool for discovering relationships between data items within different Linked Data sources. Data publishers can use Silk to set RDF links from their data sources to other data sources on the Web.

Media Cloud performs five basic functions -- media definition, crawling, text extraction, word vectoring, and analysis. First, we define the set of media sources we want to collect and discover the feeds for each media source (which in the case of many newspapers includes hundreds of feeds). Second, we crawl each of those feeds several times each day to discover any new stories published by each feed and then download the html of each new story. Third, we extract just the substantive content of each story from each html page, leaving behind the ads, navigation, and other cruft. Fourth, we break that substantive text down into a set word counts so that we can count, down to the level of individual sentences, which words which media sources are using to talk about which topics. And finally, we have a set of tools for analyzing those word counts, including the Media Dashboard tool that acts as the front page for http://mediacloud.org.

OpenRDF.org, a community site to support the development of Sesame. Sesame is an open source framework for storage, inferencing and querying of RDF data. Here, developers and users can meet and discuss, ask questions and submit problem reports for anything related to Sesame and Sesame-related software that is also hosted on this site. Sesame is an Aduna Open Source project. Commercial support for Sesame is available from www.aduna-software.com. Other Aduna Open Source projects are available from www.aduna-software.org.

Virtuoso Open-Source, OpenLink Data Spaces, and OpenLink Ajax Toolkit

In order to support data set owners to publish their datasets as Linked Data on the Web, as well as to support data consumers to access and integrate Linked Data from the Web, the LATC project has compiled a library of open source toolkits that cover all stages of the Linked Data publication (modeling, linking, serving) and consumption process (discovery, consolidation, application). By gathering high-quality open source tools in the form of a consistent library, we hope to lower the barriers to publishing Linked Data as well as to interacting with the Web of Data.

RDF format transformations http://triplr.org/output/source-uri output-format is one of html, json, ntriples, rdf or turtle.  source-uri is like example.org/foo/bar

the team of developers will transition the semantic platform (DataStaR) developed at Cornell University from a single library software prototype to a well-documented, open-source platform ready for adoption and extension at other institutions wishing to provide research data sharing and discovery services.

Hello Janos, Thanks for sending me information and content about Web 3.0. It's interesting topic and I am looking into it.

The NeuroCommons project seeks to make all scientific research materials - research articles, knowledge bases, research data, physical materials - as available and as usable as they can be. We do this by fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine easily and meaningfully, enabling semantically precise queries that span multiple information sources.

Virtuoso Open-Source Edition: OpenLink Data Spaces Virtuoso Open-Source, OpenLink Data Spaces, and OpenLink Ajax Toolkit

Linked Data is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web. See Linked Data - The Story so far and How to publish Linked Data on the Web for more information about Linked Data.

As with any Web Services framework, SADI can expose any source of dynamically-generated information. In most cases this means Web-based analytical algorithms, but any source of data would be applicable - including robots, or even distributed human curators. Because SADI Services are stateless and atomic, Web Services that expose a set of stateful object methods cannot easily be exposed as SADI Services (though in many cases these services could be re-written to follow SADI conventions, and take advantage of the added semantic behaviours). Our observations suggest, however, that almost all services currently available in the bioinformatics space have a SADI-like behaviour that easily maps onto the SADI conventions.

This project aims at integration various open government data sources. Those sources originate from several geographic regions and come in any kind of format. This site allows the following: download integrated open government data as RDF triples and database dump - play with the data in an interactive web app that nicely visualizes keyword queries results - discover interesting connections among entities mentioned in NYT articles You are able to search in: 200,000 persons (politicians, company key-persons, etc.) 248,000 legal entities (companies, government agencies) 1,000,000 funds (grants, subventions, earmarks, donations, etc.)

RDF is a directed, labeled graph data format for representing information in the Web. This specification defines the syntax and semantics of the SPARQL query language for RDF. SPARQL can be used to express queries across diverse data sources, whether the data is stored natively as RDF or viewed as RDF via middleware. SPARQL contains capabilities for querying required and optional graph patterns along with their conjunctions and disjunctions. SPARQL also supports extensible value testing and constraining queries by source RDF graph. The results of SPARQL queries can be results sets or RDF graphs.

Google Refine is a power tool for cleaning up raw data, making it consistent, linking it to data registries like Freebase, augmenting it with more data from other data sources, transforming it into the required format for other tools to consume, and contributing it back to some data sources like Freebase. Google Refine is not a web service but a desktop app that runs on your own computer, so you can process sensitive data with privacy.

Virtuoso Open-Source, OpenLink Data Spaces, and OpenLink Ajax Toolkit