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Fast, Fair, and Frictionless Content Licensing On The Internet (continued) Last month I posted two back to back suggestions for industry self regulation on the issue of copyrights and the Internet.

Fast, Fair, and Frictionless Content Licensing On The Internet (continued)

The first was a competitive market for third party whitelist and blacklists. The second was "fast, fair, and frictionless content licensing on the Internet. " I am seeing signs that both models are emerging, slowly, but surely. In the case of frictionless content licensing, I wrote: I think it will be even harder to get the content industry to build instantaneous real-time self service licensing systems for their content. But happily, the photography industry is proving me wrong. Envisioning Emerging Technology 2011-10-09. Semantic_web. Semantic Web. The Semantic Web. Collective knowledge systems: Where the Social Web meets the Semantic Web 10.1016/j.websem.2007.11.011 : Web Semantics: Science, Services and Agents on the World Wide Web. Volume 6, Issue 1, February 2008, Pages 4–13.

Collective knowledge systems: Where the Social Web meets the Semantic Web 10.1016/j.websem.2007.11.011 : Web Semantics: Science, Services and Agents on the World Wide Web

Thirst - Rediscover Twitter. SOA4All Studio. Google lancia Knowledge graph, la nuova ricerca grafica e consapevole. Google lancia Knowledge graph,la nuova ricerca grafica e consapevole Il motore comprenderà la relazione tra le parole ricercateE restituirà dati e correlate in maniera più organizzata MILANO - Arriva, per ora soltanto negli Stati Uniti ma presto anche nel resto del mondo, la ricerca consapevole.

Google lancia Knowledge graph, la nuova ricerca grafica e consapevole

Knowledge Media Institute. Thoughts on Google Plus: The Magic Isn’t Social, It’s Semantic. It’s been said that I’ve called Google Plus “one of the subtlest and most user-friendly ontology development systems we’ve ever seen.”

Thoughts on Google Plus: The Magic Isn’t Social, It’s Semantic

I did, and you can listen for yourselves on the Semantic Link podcast. Why did I do so? PROTON (PROTo ONtology) Home Page.

Bodycard 0140

Projects. Technologies. KIM Platform. Basel: Uncovering Financial Crime. In 2009 Ontotext ran a project for the International Center for Asset Recovery (ICAR) of Basel Institute on Governance ( creating the Asset Recovery Intelligence System (ARIS) Platform prototype.

Basel: Uncovering Financial Crime

Corruption and stealing of national assets by dictators and former dictators (so-called Kleptocrats) is a big problem world-wide. It is especially huge in developing countries, since it robs the national economies of much needed financial resources. For example, General Sani Abacha, who was de facto President of Nigeria from 1993 to 1998, is reported to have siphoned a total of 3 billion GBP out of the country's coffers. ICAR helps the Financial Intelligence Units (FIUs) of developed and developing countries in the areas of financial investigations, fight against corruption and money laundering, asset tracing and recovery, mutual legal assistance.

ICAR provides capacity building, technical assistance and training, access to critical intelligence leads from public domain sources. The problem: MAPEKUS » About. Personalized Exploratory Search in the Semantic Web. Michal Tvarožek Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Ilkovièova 3, 842 16 Bratislava, Slovakia tvarozek@fiit.stuba.sk Abstract.

Personalized Exploratory Search in the Semantic Web

Effective access to information on the Web, which has become vital to many users and to the whole society, is being hampered by information overload, unavailability of information, navigation issues and user diversity. We aim to facilitate the slow adoption of the Semantic Web by devising an enhanced faceted semantic browser with support for multi-paradigm exploration, personalized recommendation and adaptive view generation. Ctrl News Web Tour. Knowledge Navigator <^> Introduction. Ontology4 provides three different levels of query languages: Predicate Language has a more simple syntax and is closer to first order predicates.

Knowledge Navigator <^> Introduction

PQL expressions are translated to OQL queries. OQL has a set of functions, which can be directly translated to SQL-queries for the conceptual model of Ontology4. SQL queries are executed against the Ontology4 knowledge bases. Adaptive Knowledge Network and Recommendation Systems. Adaptive Knowledge Network Technology, Cloud Hosted. Scalable machine-learning and data-mining library. Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Media Sites.

On Finding Experts on the Social Semantic Web. Semanticweb.com - The Voice of Semantic Web Business. Welcome to the UMBEL Web Site ! Open Source. Open Minds. Digital Enterprise Research Institute: Home. Leverage the Power of Influence: Klout for Business. FISE - IKS Project. The semantic interaction framework. FISE - Welcome to fise! Home. Fuel your fascination. NeOn Wiki. Product Modelling using Semantic Web Technologies. Abstract This W3C Incubator Group (XG) seeks to enable the use of the (Semantic) Web for Product Modelling (PM): the definition, storage, exchange and sharing of product data.

Product Modelling using Semantic Web Technologies

Product data is information about the structure and behaviour of things that are realized in industrial processes. So principally product data is about things that are manmade, but it can also be about things in the natural world that interact with those industrial processes and/or its resulting products. Typical products would include automobiles, airplanes, buildings, infrastructures, ships and other manmade complex products.

This report describes the role and scope of product data, and initial work in two technical areas: Quantities, Units & Scales; and Product Structure - the decomposition of wholes in parts and the interconnection relationships between these parts. Status of this document This section describes the status of this document at the time of its publication. Table of Contents Abbreviations. Www.enpromer2005.eq.ufrj.br/nukleo/pdfs/1016_productontology.pdf. Product Modelling using Semantic Web Technologies. Abstract This W3C Incubator Group (XG) seeks to enable the use of the (Semantic) Web for Product Modelling (PM): the definition, storage, exchange and sharing of product data.

Product Modelling using Semantic Web Technologies

Product data is information about the structure and behaviour of things that are realized in industrial processes. So principally product data is about things that are manmade, but it can also be about things in the natural world that interact with those industrial processes and/or its resulting products. Typical products would include automobiles, airplanes, buildings, infrastructures, ships and other manmade complex products. This report describes the role and scope of product data, and initial work in two technical areas: Quantities, Units & Scales; and Product Structure - the decomposition of wholes in parts and the interconnection relationships between these parts. Status of this document This section describes the status of this document at the time of its publication. Table of Contents Abbreviations. Www.w3.org/2005/Incubator/w3pm/wiki/images/c/c3/SWOP_D23_WP2_T2300_TNO_2008-04-15_v12.pdf.

GoodRelations: The Web Ontology for E-Commerce. Rewire the web. Idea Ontology. Sindice - The semantic web index. ONTORULE Project - ONTOlogies meet business RULEs. Gnowsis.com. Gnowsis was a European startup developing Refinder.

gnowsis.com

Founded in 2009 in Vienna, we were building the next generation of collaborative information management. Our aspiration was to increase the productivity of knowledge workers by separating the signal from the noise. We shut down on 6th December 2013, read the story here. Many people in various projects are facing a multitude of applications, people, and data. NEPOMUK - The Social Semantic Desktop. Www.dei.unipd.it/~randy/publications/TasLab_ICE2010.pdf. Disi.unitn.it/~pavel/Publications/TasLabPortal_final.pdf. White Papers and Presentations. Recorded Future, il motore sa cercare tra ciò che accadrà. Il sistema, ideato da una start-up finanziata anche dalla Cia e da Google, si basa sul concetto di localizzazione temporale degli eventi e sul riconoscimento delle ricorrenze storiche. Primi passi verso il pre-crimine di Minority Report?

Di GIULIA BELARDELLI ANNUSA eventuali collegamenti nascosti. Registra temporalmente ogni evento, dichiarazione e proiezione, creando alberi relazionali per identificare i punti di contatto fra persone e aziende: sono queste le caratteristiche di Recorded Future, motore di ricerca creato con lo scopo - a dir poco ambizioso - di predire il futuro basandosi su passato e presente. Nata dall'investimento congiunto di Google e della Cia, questa company statunitense ha già sollevato un polverone per le possibili applicazioni che i suoi servizi potrebbero portare con sé.

Web 3.0 The Semantic Web.

Semantic tools

Dynamic Semantic Publishing for any Blog (Part 2: Linked ReadWriteWeb) A DSP proof of concept using ReadWriteWeb.com data. The previous post described a generic approach to BBC-style "Dynamic Semantic Publishing", where I wondered if it could be applied to basically any weblog. During the last days I spent some time on a test evaluation and demo system using data from the popular ReadWriteWeb tech blog.

The application is not public (I don't want to upset the content owners and don't have any spare server anyway), but you can watch a screencast (embedded below). The application I created is a semantic dashboard which generates dynamic entity hubs and allows you to explore RWW data via multiple dimensions.