CLARION is a project investigating fundamental structures of the human mind. In particular, it aims to explore the interaction of implicit and explicit cognition, emphasizing bottom-up learning (i.e., learning that involves acquiring first implicit knwoledge and then acquiring explicit knowledge on its basis). The project is aimed at the synthesis of many interesting intellectual ideas into a coherent model of cognition.
European researchers working on the Contract project are developing computer systems capable of autonomously creating, monitoring, and managing online contractual agreements. The Contract project has developed a set of verification algorithms that enable on- and offline validation of e-business interactions based on contracts. Individuals and organizations can use the verification process to test for conflicts between a contract they are about to enter and other obligations that exist from previous contracts.
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
FOAF is about your place in the Web, and the Web's place in our world. FOAF is a simple technology that makes it easier to share and use information about people and their activities (eg. photos, calendars, weblogs), to transfer information between Web sites, and to automatically extend, merge and re-use it online.
Formal Concept Analysis is a theory of data analysis which identifies conceptual structures among data sets. It was introduced by Rudolf Wille in 1982 and has since then grown rapidly. Three well-established annual international conferences (ICFCA, ICCS and CLA) are dedicated to FCA and related methods. The FCA method of formal data analysis has successfully been applied to many fields, such as medicine and psychology, musicology, linguistic databases, library and information science, software re-engineering, civil engineering, ecology, and others.
The Semantic Web Made Easy Universidad Politecnica de Madrid (Spain) (07/21/10) Martinez, Eduardo
The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL facilitates greater machine interpretability of Web content than that supported by XML, RDF, and RDF Schema (RDF-S) by providing additional vocabulary along with a formal semantics. OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full.
The purpose of the Protocol for Web Description Resources (POWDER) is to provide a means for individuals or organizations to describe a group of resources through the publication of machine-readable metadata, as motivated by the POWDER Use Cases [USECASES]. This document details the creation and lifecycle of Description Resources (DRs), which encapsulate such metadata. These are typically represented in a highly constrained XML dialect that is relatively human-readable.
Email addresses, like telephone numbers, are often hard to remember, and they change from time to time, making it difficult to send messages to the intended recipients. In some cases, we may not even know the identity of the recipients, as their roles and interests change.
Semantic MediaWiki (SMW) is a free extension of MediaWiki – the wiki-system powering Wikipedia – that helps to search, organise, tag, browse, evaluate, and share the wiki's content.
Semantic technologies appear to hold the promise of significantly enhancing formal and informal learning but issues such as building ontology consensus, the logistics of annotating large volumes of learning content and the underpinning pedagogy have been frequently questioned. However, recent developments in Web 2.0 tools and services for teaching and learning show that these concerns may be successfully addressed and benefit HE/FE, informal learning and exploratory learning.
The Voice of Semantic Web Business
In addition to the classic “Web of documents” W3C is helping to build a technology stack to support a “Web of data,” the sort of data you find in databases. The ultimate goal of the Web of data is to enable computers to do more useful work and to develop systems that can support trusted interactions over the network. The term “Semantic Web” refers to W3C’s vision of the Web of linked data.
SIMILE is a joint project conducted by the MIT Libraries and MIT CSAIL.
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 Tabulator project is a generic data browser and editor. Using outline and table modes, it provides a way to browse RDF data on the web. RDF is the standard for inter-application data exchange.
We present a visualization of all the nouns in the English language arranged by semantic meaning. Each of the tiles in the mosaic is an arithmetic average of images relating to one of 53,464 nouns. The images for each word were obtained using Google's Image Search and other engines. A total of 7,527,697 images were used, each tile being the average of 140 images. The average reveals the dominant visual characteristics of each word. For some, the average turns out to be a recognizable image; for others the average is a colored blob.
WikiTrust is an open-source MediaWiki extension that computes the origin and author of every word of a wiki, as well as a measure of text trust that indicates the extent with which text has been revised. To use WikiTrust, you click on a special wiktrust tab added by the extension. In the resulting view:
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