Metasearch Engine Project This project was sponsored by research grants from the National Science Foundation . Principal Investigator at SUNY at Binghamton PI: Prof. Weiyi Meng Department of Computer Science State University of New York at Binghamton NSF grant number: IIS-0208574 Principal Investigator at University at Illinois at Chicago PI: Prof. The objective of this project was to develop techniques for building highly scalable and effective metasearch engines and related techniques. We study two types of metasearch engines. For document metasearch engines, our WebScales project aims to create a metasearch engine on top of essentially all useful search engines on the Web. This research is funded by the following grants from the National Science Foundation: IIS-9902872, IIS-9902792, EIA-9911099, IIS-0208574, and IIS-0208434). Related Publications and Technical Reports Weiyi Meng, King-Lup Liu, Clement Yu, Xiaodong Wang, Yu-Hsi Chang, and Naphtali Rishe. Prototypes and Demos
Quintura - visual search engine In the vast digital landscape of the internet, search engines play a pivotal role in helping us find the information we seek. While major search engines like Google, Bing, and Yahoo dominate the market, there are several innovative alternatives that offer unique features and capabilities, including visual context-based image search. In this article, we'll explore 15 of the best alternative search engines, with a primary focus on those that offer image search capabilities akin to Quintura, taking a step beyond traditional keyword search. While popular search engines continue to dominate the digital landscape, these 15 alternative search engines offer unique features, with a special emphasis on visual context-based image search similar to Quintura. Whether you prioritize privacy, environmental sustainability, or simply desire a fresh approach to online search, these alternatives cater to a variety of preferences. ⚫ Manchester hotels ⚫ Liverpool hotels ⚫ Bournemouth hotels ⚫ Cambridge hotels
Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)! Protovis is no longer under active development.The final release of Protovis was v3.3.1 (4.7 MB). This project was led by Mike Bostock and Jeff Heer of the Stanford Visualization Group, with significant help from Vadim Ogievetsky. Updates June 28, 2011 - Protovis is no longer under active development. September 17, 2010 - Release 3.3 is available on GitHub. May 28, 2010 - ZOMG! October 1, 2009 - Release 3.1 is available, including minor bug fixes. April 9, 2009 - First release on Google Code. Getting Started
Big Data Is As Misunderstood As Twitter Was Back In 2008 Boonsri Dickinson, Business Insider In 2008, when Howard Lindzon started StockTwits, no one knew what Twitter was. Obviously, that has changed. Now that Twitter is more of a mainstream communication channel, Lindzon has figured out the secret to getting past all the noise on Twitter. By using human curation, StockTwits can serve up relevant social media content to major players like MSN Money. Lindzon said there are three key aspects that have helped solve the spammy nature of Twitter: StockTwits uses humans to curate social media contentThe technology filters out penny stock mentionsIt has house rules that people must follow or else they get kicked out of it. It's working: there were 63 million impressions of messages viewed yesterday. The value in big data, like the sentiment in tweets, is not yet understood, Lindzon said. "Prices and business models are being made up now because this data is so fresh and interesting and real time. Disclosure: Lindzon is an investor in Business Insider.
Gapminder The Internet of Things (and the myth of the “Smart” Fridge) 38 visualization api Our API directory now includes 38 visualization APIs. The newest is the Voicebox API. The most popular, in terms of mashups, is the Google Visualization API. We list 26 Google Visualization mashups. Below you’ll find some more stats from the directory, including the entire list of visualization APIs. In terms of the technical details, REST and XML lead the way. The most common tags within real estate are 10 science visualization APIs, 9 charts visualization APIs and 8 data visualization APIs. On the mashup side, we list 304 visualization mashups. For reference, here is a list of all 38 visualization APIs. BiologicalNetworks API: Biological pathways analysis and visualization service Center for Biological Sequence Analysis API: Biological sequence and molecule analysis services ColoRotate API: Integrate 3D colors to your website or blog COLOURlovers API: Named colors and color palette services DataFed WCS API: Air quality data visualization service Google Chart API: Chart creation service
22 free tools for data visualization and analysis You may not think you've got much in common with an investigative journalist or an academic medical researcher. But if you're trying to extract useful information from an ever-increasing inflow of data, you'll likely find visualization useful -- whether it's to show patterns or trends with graphics instead of mountains of text, or to try to explain complex issues to a nontechnical audience. There are many tools around to help turn data into graphics, but they can carry hefty price tags. The cost can make sense for professionals whose primary job is to find meaning in mountains of information, but you might not be able to justify such an expense if you or your users only need a graphics application from time to time, or if your budget for new tools is somewhat limited. If one of the higher-priced options is out of your reach, there are a surprising number of highly robust tools for data visualization and analysis that are available at no charge. Data cleaning DataWrangler
Zim : Free Desktop Wiki: WYSISYG Editing analyzing the connections between friends and followers