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Discovering Content by Mining the Entity Web – Part 5 of 6
Deep Dhillon, CTO of Evri.com presents Evri’s technology to UW students at the Paul G. Allen Center for Computer Science & Engineering. Talk abstract: Unstructured natural language text found in blogs, news and other web content is rich with semantic relations linking entities (people, places and things). At Evri, we are building a system which automatically reads web content similar to the way humans do. The system can be thought of as an army of 7th grade grammar students armed with a really large dictionary. The dictionary, or knowledge base, consists of relatively static information mined from structured and semi-structured publicly available information repositories like Freebase, Wikipedia, and Amazon. This large knowledge base is in turn used by a highly distributed search and indexing infrastructure to perform a deep linguistic analysis of many millions of documents ultimately culminating in a large set of semantic relationships expressing grammatical SVO style clause level relationships. This highly expressive, exacting, and scalable index makes possible a new generation of content discovery applications.
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How to control the web
This video shows different ways of filtering web content so that people using your computer or network are only allowed to go to certain sites. www.opendns.com http
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Web 2.0. The Machine is Us/ing Us
Final version now available! youtube.com mediatedcultures.net Web 2.0 in just under 5 minutes. This is the 2nd draft, and I plan on doing one more final draft. Please leave comments on what could be changed or improved, or what needs to be excluded or included. Subscribe if you want to be notified when the revision is released. UPDATE I just added this video to Mojiti where you can actually write your comments into the video itself. It is an exciting experiment in “Video 2.0″. Go check it out at mojiti.com and add your voice! Transcripts are now available as well: mediatedcultures.net A couple of people have noted that the statement, “XML was created to do just that” (separate form from content) is misleading because CSS enables the same effect with HTML. I tried to integrate CSS into the video, but it ruined the flow. Perhaps in the next draft. My statement on XML is based on the following from xml.com: “In order to appreciate XML, it is important to understand why it was created. XML was created so that richly structured documents could be used over the web. The only viable alternatives, HTML and SGML, are not practical for this purpose. HTML, as we’ve already discussed, comes bound with a set of semantics and does not provide arbitrary structure.” Thank you all for the comments. With your help the next draft will be cleaned up and hopefully free of factual errors. A higher quality version is available for download here: www.mediafire.com Please note that this is the …
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Chrome Features – Speed
Google Chrome is a web browser that runs web pages and applications with lightning speed. Speed – Google Chrome loads websites and runs web applications quickly. Click on the notice board in the video to see our other films. www.google.com
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Discovering Content by Mining the Entity Web – Part 1 of 6
Deep Dhillon, CTO of Evri.com presents Evri’s technology to UW students at the Paul G. Allen Center for Computer Science & Engineering. Talk abstract: Unstructured natural language text found in blogs, news and other web content is rich with semantic relations linking entities (people, places and things). At Evri, we are building a system which automatically reads web content similar to the way humans do. The system can be thought of as an army of 7th grade grammar students armed with a really large dictionary. The dictionary, or knowledge base, consists of relatively static information mined from structured and semi-structured publicly available information repositories like Freebase, Wikipedia, and Amazon. This large knowledge base is in turn used by a highly distributed search and indexing infrastructure to perform a deep linguistic analysis of many millions of documents ultimately culminating in a large set of semantic relationships expressing grammatical SVO style clause level relationships. This highly expressive, exacting, and scalable index makes possible a new generation of content discovery applications.
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CBS Interactive Sued Over Web Content Filters in China: Video
Oct. 8 (Bloomberg) — Bloomberg’s Zeb Eckert reports that CBS Corp.s Internet unit is being sued by Solid Oak Software over claims the companys ZDNet China Web site helped Chinese government-backed firms dispense a stolen program used to censor political and religious content. Solid Oak, which says it sold the first commercially available Internet content filter, seeks at least $1.23 million in damages. (Source: Bloomberg)
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Mike Axinn Web Content Innovator
Mike Axinn (310) 795-8244 mgaxinn@gmail.com Producer/manager responsible for: innovating high-quality video and media content to enhance Web sites, ideas, and company communications; implementing cross platform marketing and interactive strategies; discovering intuitive approaches to interface challenges that incorporate new technologies and encourage usability, accelerate traffic, and expand revenues. Twelve years experience utilizing digital media technologies on Academy Award-level feature films in collaboration with industry pioneers. Developed creative strategies to handle unique project challenges. Advanced new formats to address rapidly changing media environment, facilitating the success of high-concept educational initiative. Extensive experience assuring quality and technical specifications on behalf of clients, colleagues and agencies. Unique Skills •Intuitive Solutions: Peripheral vision for simple ways to address problems with existing technologies. •Functional Exactitude: Consistently able to determine when an image, an edit, or graphic interface will optimally convey an idea or narrative to target audience. •Expanding Synergies: Foster environment where ideas are pooled and strengthened through their assimilation to a common mission. •Articulating Technologies: Explain the basics of unfamiliar programs and work flow models to enable client collaboration in implementing and refining project elements. •Multi-faceted communicator: Provide documentation …
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Cassetteboy – The Web for Beginners
Something a bit different this time, not least because for once it’s totally legit. Find out more about the competition here: www.bbc.co.uk
Caffeinated Content – Members-Only Content for WordPress