"Skymind is the company behind Deeplearning4j, the only commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is specifically designed to run in business environments on distributed GPUs and CPUs."
"Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!"
SMOB is a Semantic MicroBlogging framework that enables an open, distributed and semantic microblogging experience based on state-of-the-art Semantic Web and Linked Data technologies.
It relies on distributed hubs that communicate each other to exchange microblog posts and subscriptions (i.e. following / followers). Anyone can install his own hub and start following other users, while SMOB also allows cross-posting on other platforms such as Twitter.
CONNECT all of your data into a single structured place - personal photos, places, links, contacts and more.
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CREATE new experiences against one API without writing any server-side code.
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SHARE your apps. Easy hosting. Easy distribution. Ready to sign up?
A distributed collaborative application platform that provides a "Linked Data Junction Box" for Web protocols accessible data across a myriad of data sources.
OpenLink Data Spaces (ODS)A distributed collaborative application platform that provides a "Linked Data Junction Box" for Web protocols accessible data across a myriad of data sources.
A distributed collaborative application platform that provides a "Linked Data Junction Box" for Web protocols accessible data across a myriad of data sources.
Following the workshop in Video on the Web, the goal of the Video in the Web activity is to make video a "first class citizen" of the Web. Video on the Web (and this includes audio, as the two are typically used together) has seen explosive growth, improving the richness of the user experience but leading to challenges in content discovery, searching, indexing and accessibility. Enabling users (from individuals to large organizations) to put video in the Web requires that we build a solid architectural foundation that enables people to create, navigate, search, link and distribute video, effectively making video part of the Web instead of an extension that doesn't take full advantage of the Web architecture.
This project, the Semantically-Enabled Science Data Integration (SESDI), will demonstrate how ontologies implemented within existing distributed technology frameworks will provide essential, re-useable, and robust, support for an evolution to science measurement processing systems (or frameworks) as well as for data and information systems (or framework) support for NASA Science Focus Areas and Applications.
Representational state transfer (REST) is a style of software architecture for distributed hypermedia systems such as the World Wide Web. The term representational state transfer was introduced and defined in 2000 by Roy Fielding in his doctoral dissertation.[1][2] Fielding is one of the principal authors of the Hypertext Transfer Protocol (HTTP) specification versions 1.0 and 1.1.[3][4]
H-Store is an experimental main-memory, parallel database management system that is optimized for OLTP applications. It is a highly distributed, row-store-based relational database that runs on a cluster on shared-nothing, main memory executor nodes.
The H-Store project is a collaboration between MIT, Brown University, Yale University, and HP Labs.
"The Apache Hive ™ data warehouse software facilitates querying and managing large datasets residing in distributed storage. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL."
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.
OntoWiki
is a tool providing support for agile, distributed knowledge engineering scenarios.
OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWIG for text documents.
OpenStructs is an education and distribution site dedicated to open source software for converting, managing, viewing and manipulating structured data. Structured data can represent any existing data struct from the simplest attribute-value pair formats to fully specified relational database schema. Material on this OpenStructs site ranges from individual tools to complete open semantic frameworks (OSF) with which to builld comprehensive semantic instances.
All OpenStructs tools are premised on the canonical RDF (Resource Description Framework) data model. Thus, OpenStructs tools either convert existing data structures to RDF, extract structure from content as RDF, or manage and manipulate RDF. All OpenStructs tools and approaches are as compliant as possible with existing open standards from the W3C. The intent is to achieve maximum data and software interoperabililty.
"Omniscious is a planned Web 3.0 free open online research platform for non-researchers. The system is intended for anyone curious and interested in investigating complex problems or solving unanswered mysteries. The aim of the project is to develop an Information infrastructure to enable citizens of the world to conduct bottom up distributed research on a mass scale. Read the project description document (PDF) for more information. "
The aim of the EU FP 7 Large-Scale Integrating Project LarKC is to develop the Large Knowledge Collider (LarKC, for short, pronounced "lark"), a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web.