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Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags

Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags

Thumblicious: see the sites - viewing popular SENSEnews (Hakia) Incremental reading (Basic level) - SuperMemo Help From SuperMemo Help Introduction Traditional linear reading is highly inefficient. This comes from the fact that various pieces of the text are of various importance. Some should be skipped. Others should be read in the first order of priority. What is incremental reading? Incremental reading converts electronic articles into durable knowledge in your memory. Input: electronic articles (e.g. collected from the net) Output: well-remembered knowledge (quizzed regularly in the form of questions and answers) In incremental reading, you read articles in small portions. Warning! Five basic skills of incremental reading Incremental reading requires skills that you will perfect only over months and years of use. Skill 1: Importing articles Five article import methods Initially, you may limit your imports to a simple copy&paste of individual articles. Here are the 5 main article import methods in SuperMemo: Import by Copy&Paste To import an article with copy and paste, follow these steps: ). or Summary

Home Visual bookmarking made easy Sentiment analysis In the last few months, sentiment has become the next big thing in enterprise content processing. Manning & Napier, an investment firm, funded a number of projects for its search and content processing system that could determine what the computer scientists call "polarity" and I call the positive and negative aspect of a document. A human can read a document and make a comment like, "This customer is really annoyed at our warranty program," or "We need to get this letter over to marketing because our customer is raving about our new product." Computers, as it turns out, can do a reasonably good job of determining the sentiment of a document or processing a large number of documents and providing a report that says, "Sixty-three percent of the messages about our service are positive." Social media's impact Sentiment analysis is one of the facets of text analytics that can discern the softer or intentional components of a report, an e-mail or other communication. Credibility rankings

How to Use Wikipedia for Research - Online Education Blog of Touro College Wikipedia is massive. It is the seventh most popular website worldwide and is consistently one of the top, if not the top, hit in a Google Search. Due to its vast amount of information and easily maneuverable user interface, it is usually the first resource that people use to learn about anything. However, because Wikipedia can be edited by anyone, it is not a reliable source for academic citation. Here are three ways that students can utilize Wikipedia as a trustworthy research resource: Research – At the bottom of each Wikipedia article is a “Reference” section. Wikipedia Projects – Many Wikipedia articles are authored through a joint effort of experts in a certain field. Reference Desk – Like a library reference desk, this resource provides users with answers to questions and suggests other helpful sources. Check out this fantastic infographic from eLearning Infographics to learn more about smart ways to use Wikipedia for academic research. Sources:

Redis Zinkmo - IE Favorite and Firefox Bookmark Synchronization and Sharing Named graph A named graph Named graphs are a simple extension of the RDF data model[2] through which graphs can be created but the model lacks an effective means of distinguishing between them once published on the Web at large. Named graphs and HTTP[edit] One conceptualization of the Web is as a graph of document nodes identified with URIs and connected by hyperlink arcs which are expressed within the HTML documents. Describing a named graph Named graphs are a formalization of the intuitive idea that the contents of an RDF document (a graph) on the Web can be considered to be named by the URI of the document. Named graphs and RDF stores[edit] While named graphs may appear on the Web as simple linked documents (i.e. Example[edit] @prefix foaf: < . This data has been written in a more verbose form than necessary to show the triple structures The homepage of the person with the email address mailto:joe@example.org can be obtained using the SPARQL query: Formal definition[edit]

15 Brilliant Hacks That Will Improve How You Use Wikipedia Apache Thrift

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