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Semantic Web

Semantic Web
The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C).[1] The standard promotes common data formats on the World Wide Web. By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web, dominated by unstructured and semi-structured documents into a "web of data". The Semantic Web stack builds on the W3C's Resource Description Framework (RDF).[2] According to the W3C, "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries".[2] The term was coined by Tim Berners-Lee for a web of data that can be processed by machines.[3] While its critics have questioned its feasibility, proponents argue that applications in industry, biology and human sciences research have already proven the validity of the original concept. History[edit] Purpose[edit] Limitations of HTML[edit] Semantic Web solutions[edit]

http://en.wikipedia.org/wiki/Semantic_Web

Related:  SOCIAL BOOKMARKING & Related Concepts

Visualizing the contents of social bookmarking systems I’ve decided to post a few visualizations I’ve made some time ago as part of my PhD work. The method has been published, but more as a sidenote [1]; also, I’ve since applied it to additional datasets, so I thought it might be interesting to share those images. In my PhD thesis, I try to make sense of the large bodies of data that are accumulated by people saving resources online, tagging them with whatever words they choose in order to find them later on. Each time a user u saves a document d, using the tags t1, t2, and t3, three triples (d,u,t1), (d,u,t2), (d,u,t3) are created. In this way, the users of large social bookmarking sites like Delicious have created datasets of several hundreds of millions of triples. Over the last years, a whole body of literature has been created that’s concerned with making sense of this data (there’s an intuition that something valuable is in there; after all, each of these millions of triples means that somebody has thought *something*!).

The Invisible Web What is the Invisible Web? How can you find it online? What makes the Invisible Web search engines and Invisible Web databases so special? Relational Databases and the Semantic Web (in Design Issues) $Id: RDB-RDF.html,v 1.25 2009/08/27 21:38:09 timbl Exp $ Up to Design Issues There are many other data models which RDF's Directed Labelled Graph (DLG) model compares closely with, and maps onto. See a summary in What the Semantic Web can represent One is the Relational Database (RDB) model.

Business intelligence Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.[1] BI technologies provide historical, current and predictive views of business operations.

Tag (metadata) The use of keywords as part of an identification and classification system long predates computers. Paper data storage devices, notably edge-notched cards, that permitted classification and sorting by multiple criteria were already in use prior to the twentieth century, and faceted classification has been used by libraries since the 1930s. Online databases and early websites deployed keyword tags as a way for publishers to help users find content.

The Best Reference Sites Whether you're looking for the average rainfall in the Amazon rainforest, researching Roman history, or just having fun learning to find information, you'll get some great help using my list of the best research and reference sites on the Web. About.com: I've found many answers to some pretty obscure questions right here at About.Reference.com.Extremely simple to use, very basically laid out.Refdesk.com.Includes in-depth research links to breaking news, Word of the Day,and Daily Pictures. A fun site with a ton of information.Encyclopedia.com. As stated on their site, Encyclopedia.com provides users with more than 57,000 frequently updated articles from the Columbia Encyclopedia, Sixth Edition.Encyclopedia Brittanica. One of the world's oldest encyclopedias online.Encarta.Put together by Microsoft. I like Encarta because it's very easy to use.Open Directory Reference.

Quality Indicators for Linked Data Datasets At a high level, the main drivers for me are: how easy it is to find the information I'm looking for; and conversely, how hard is it to find wrong information. From this point of view, and concentrating on the semantic web portion of the picture, we want to figure out measures and metrics for how well a particular (RDF/linked data) dataset or set of datasets satisfies these drivers. I can't see how a naive count of the number of links between datasets can offer much of a measure of how easy it is to find what you're looking for, nor how difficult it is to find wrong information. There's probably some deep scale-free characteristic (c.f. the six degrees of separation meme) suggestive of a perfect balance between having no links -- which feels like it should be bad -- to having a complete graph with links everywhere -- which feels like it would be a needle+haystack and equally bad.

What is Internet of Things (IoT)? - Definition from WhatIs.com The Internet of Things (IoT) is an environment in which objects, animals or people are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS) and the Internet. The concept may also be referred to as the Internet of Everything. In this Insider guide, InfoSec pros will learn about the risks related to the IoT and what they can do to mitigate them. A thing, in the Internet of Things, can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in sensors to alert the driver when tire pressure is low -- or any other natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network.

Ontology (information science) In computer science and information science, an ontology formally represents knowledge as a hierarchy of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts.[1][2] Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. The term ontology has its origin in philosophy and has been applied in many different ways.

Database search engine There are several categories of search engine software: Web search or full-text search (example: Lucene), database or structured data search (example: Dieselpoint), and mixed or enterprise search (example: Google Search Appliance). The largest web search engines such as Google and Yahoo! utilize tens or hundreds of thousands of computers to process billions of web pages and return results for thousands of searches per second. High volume of queries and text processing requires the software to run in highly distributed environment with high degree of redundancy. Modern search engines have the following main components:

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