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LOUD3R is a real-time content discovery, curation and publishing platform that delivers the best news, blogs, photos, videos and social media about any topic. We combine semantic search and aggregation technology with human knowledge to provide publishers and marketers the hottest, freshest, most relevant content on the web.

my6sense's super duper AI (artificial intelligence) technology learns what is most important to you based on your consumption habits, serving you as a digital sense, or as we call it 'Digital Intuition'. There is nothing you need to do other than simply use the service like you would any other reader/aggregator. No preferences need to be set. No surveys to fill out. No blood samples needed. The m6s service 'senses' your interactions with every message; whether you click on it, ignore it or share it. Just use the service naturally, and the Digital Intuition magic will come your way – connecting you with your most important content on your iPhone.

my6sense's super duper AI (artificial intelligence) technology learns what is most important to you based on your consumption habits, serving you as a digital sense, or as we call it 'Digital Intuition'. There is nothing you need to do other than simply use the service like you would any other reader/aggregator. No preferences need to be set. No surveys to fill out. No blood samples needed. The m6s service 'senses' your interactions with every message; whether you click on it, ignore it or share it. Just use the service naturally, and the Digital Intuition magic will come your way – connecting you with your most important content on your iPhone.

MachineTranslation: Machine translation aggregator and analysis based on GPT (machinetranslation.com).

A semantic wiki is a wiki that stores some portion of its data in a way that can be queried elsewhere. Typical uses of such data include querying it within the wiki (sometimes using standard query languages like SPARQL), aggregating it in displays like tables, maps and calendars; exporting it via formats like RDF, OWL or CSV; and reasoning with it, to calculate new facts from the given facts. Semantic wikis do not necessarily need to include standards or technologies considered part of the Semantic Web, although they usually do, to some extent.

KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.

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

The "LOV Search" Features gives you the possibility to search for an existing element (property, class or vocabulary) in the Linked Open Vocabularies Catalogue. LOV Aggregator endpoint and metrics about the use of vocabularies in the Semantic Web are used to bring you some relevant results.

DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.

The "LOV Search" Features gives you the possibility to search for an existing element (property, class or vocabulary) in the Linked Open Vocabularies Catalogue. LOV Aggregator endpoint and metrics about the use of vocabularies in the Semantic Web are used to bring you some relevant results.

"While Sig.ma is by no mean the first data aggregator for the Semantic Web, its contribution is to show that the sum is really bigger than the single parts and exciting possibilities lie in a holistic approach for automatic semistructured data discovery and consolidation.

SoftWiki supports, with respect to software requirements, the cooperation of all the people involved in the software development process. Potentially very large and spatially separate stakeholder groups are enabled to gather, semantically enrich, classify and aggregate software requirements in an easy manner.

NNDB is an intelligence aggregator that tracks the activities of people we have determined to be noteworthy, both living and dead. Superficially, it seems much like a "Who's Who" where a noted person's curriculum vitae is available (the usual information such as date of birth, a biography, and other essential facts.)

Kasabi Directory Creative Commons Attribution (CC-BY) Uncategorised This dataset is an aggregation of all of the machine-readable metadata relating to datasets in Kasabi. It has been compiled by crawling all of the VoiD descriptions available from data.kasabi.com. This includes the basic dataset metadata as well as some data about its structure, e.g. resource counts and lists of classes and their occurences.

Drigger is built by squeezing news through OpenCalais. OpenCalais is kindly provided by Reuters. Drigger is only something like a proof-of-concept. The news sources this site analyzes are more or less picked by accident. This site uses Pylons, with mighty SQLAlchemy and fine Mako Templates. RDF is handled with the RDFLib.

Eqentia is a multi-purpose semantic publishing platform for knowledge tracking, competitive intelligence, media monitoring, SEO enrichment, thought leadership or any custom content.

searching enables you to look for entities in our whole database (people, geographic locations, institutions, pictures, etc.).