Slashtag search. Instagrok: A (Re)Search Engine for Education. Search/Research I remember going to the library as a kid to work on a research project for school. The first stop was typically the card catalog. From there, the stacks. Or I’d start with the Readers’ Guide to Periodicals and then check out the magazines and journals. I’d wander through the library, not just locating the materials I originally searched for, but discovering the items adjacent on the shelf, taking my search down different paths based on what I found and didn’t find. (I realize those sorts of memories of analog searches for analog information in a physical library mark me as "an old person. ") "Search" now is synonymous with Google. Education and Search/Research When I first heard about Instagrok, a new “educational search engine,” I admit, I wasn’t that thrilled with the idea.
But even so, I just wasn’t sure why education needed a separate search engine. Exploring and Learning through Web Search Google gives you: 1. Instagrok offers definitions and related concepts. Oolone: A New Visual Search Engine. With Google ruling the roost, Bing sitting in the wings as a viable alternative, and the once-mighty Yahoo! Still there for those that want it, you could be forgiven for thinking that the search engine market is, well, covered.
Indeed, surely any attempt to disrupt this is destined to fail? But that certainly doesn’t stop people from trying. Last year we reported on Ecosia, a ‘green’ search engine that returns results from Bing and Yahoo. And whenever you click a sponsored search result, Ecosia gets a chunk of the revenue and passes at least 80% of it on to WWF to support its work in the Amazon rainforest. There are many other examples of search engines that you likely haven’t heard of before. Oolone is described as a ‘visual search engine’ which displays search results as images of the websites rather than blue links above blocks of text, as Googlers may be more familiar with. “Many studies have shown that people are automatically drawn to images over text,” he continues. . ➤ Oolone. Groups.csail.mit.edu/infolab/publications/Katz-etal-TREC2003.pdf. Grep the Web. Slashtag search. New App Searches Your Social Graph for the Right Contact [INVITES]
Knod.es Knod.es searches Twitter, LinkedIn and Facebook for the contacts who are likely to have the answer to your question. Analyzing public posts to find who frequently discusses a given topic. Snapgoods is a startup that connects people who want to rent or borrow something with the people in their social networks and neighborhood who are willing to lend it out. As with most new online services, the site makes it easy to reach out to your social graph for help with the task. “Know someone with a tent in New York?” I recently asked my Twitter population from the site.
But it’s unlikely that this posting will result in a tent. “There’s just such a low conversion, when you sort of push into your stream “hey has anyone ever…? Williams’s solution, which he and his co-founder put online about six weeks ago, is called Knod.es. When you search for “tent,” for instance, the web app looks for people who have mentioned tents. Would you use a tool like this in your professional life? Trapit.
HOW TO: Get the Most Out of Advanced Social Media Search. Ann Smarty is a search marketer and full-time web entrepreneur. Ann blogs on search and social media tools. Her newest project, My Blog Guest, is a free platform for guest bloggers and blog owners. Follow Ann on Twitter at @seosmarty. Social media search — the ability to tap into thousands of real-time updates — has long been a hot topic.
In this post, we'll aim to tackle some more advanced social search functionality so that you can make the most out of Facebook, Twitter and LinkedIn. Twitter Background information Twitter search can be accessed from your Twitter home page, as well as from a separate subdomain. Advanced search: The official Twitter search is a powerful tool. While the above options are certainly effective, the most useful one is hidden.
Twitter Advanced Search Operator: Filter Out Links Both Twitter Advanced Search and twitter.com/search offer easy ways to only show tweets that contain links. Facebook Background information: Advanced search Limitations It is unpredictable. Where Is Search Going: Yahoo’s Sashi Seth. I’m continuing my look at what search might look like in the future with this first part of a fascinating interview with Shashi Seth, the Senior VP of Search Products at Yahoo. With the recent Bing arrangement, Yahoo now finds themselves in an interesting position in the search game. Now that Yahoo search results are powered by Bing’s algorithm, the company can move its focus from maintaining a web index to how the information is presented to the user.
It’s analogous to a car manufacturer farming out the drive train assembly to a partner so they can focus on body styles and interiors. So, my first question for Shashi is now, in the new search ecosystem, what does the Senior VP of Search do at Yahoo? Seth: Our goal with Yahoo Search was to rethink search, essentially. The reason I came to Yahoo was because I felt that search had been fairly stagnant in the past 5-6 years and hadn’t evolved a significant amount in that timeframe. Seth: That’s correct. But this brings up a thorny problem. Can AI Be Your Guide to the Web? Today, a startup called TrapIt launched a beta website that recommends content after learning your tastes via an artificial-intelligence engine spun out of research originally funded by the Defense Advanced Research Projects Agency (DARPA). The company hopes this technological pedigree will set its method apart from other ways of finding information, such as searching or receiving recommendations from social-media sources.
TrapIt’s technology has its roots in the CALO project at the independent nonprofit research institution SRI. CALO is an ambitious attempt to help computers understand the intentions of their human users. A previous company spun out of CALO, Siri, developed an intelligent software assistant that could perform simple tasks, such as planning an evening out, when given voice commands. TrapIt relies on a different part of CALO’s intelligence.
At first blush, TrapIt might look like any Web 2.0 site. Orange - Data Mining Fruitful & Fun. SVM tutorial. SVM - Support Vector Machines. Support Vector Machines. Search Strategies. The Myth Of Serendipity. Editor’s note: Henry “Hank” Nothhaft, Jr. is the co-founder and CMO of Trapit, a virtual personal assistant for Web content still in private beta that was incubated out of SRI and the CALO project (as was Siri, the conversational search engine bought by Apple). One of the most interesting concepts to emerge in media and tech lately is that of “serendipity”—showing people what they want even if they didn’t ask for it. Despite its seemingly ubiquitous invocation, however, the concept of serendipity remains ill-defined and put forth as some vague panacea for a slew of emerging innovations hoping to attract new users in droves.
What is needed is a closer look at what we actually mean when we talk about serendipity. From Search to Discovery Eric Schmidt’s recent remarks about Google as a “Serendipity Engine” (and Facebook’s quick reply), emphasize an important shift in our daily interaction with the Web and how we use it. Serendipity and personalization are in fact two sides to the same coin. Research on N-Grams in Information Retrieval.
Home. Author:Mayur Datar. Login to Lexico. Database Models: Hierarcical, Network, Relational, Object-Oriented, Semistructured, Associative and Context. The context data model combines features of all the above models. It can be considered as a collection of object-oriented, network and semistructured models or as some kind of object database. In other words this is a flexible model, you can use any type of database structure depending on task. Such data model has been implemented in DBMS ConteXt. The fundamental unit of information storage of ConteXt is a CLASS.
Class contains METHODS and describes OBJECT. Types of Fields A context model comprises three main data types: REGULAR, VIRTUAL and REFERENCE. Like a NETWORK database, apart from the fields containing the information directly, context database has fields storing a place where this information can be found, i.e. In contrast to pure object-oriented databases, context databases is not so coupled to the programming language and doesn't support methods directly. A VIRTUAL field is like a regular field: it can be read or written into. Home of the Associative Model of Data. OpenContent. LinkedIn | Relationships Matter. NNDB Mapper. Introducing the NNDB Mapper NNDB is proud to announce the NNDB Mapper, a visual tool that lets you explore the connections between people.
The NNDB Mapper navigates biographical data collected in NNDB -- over 32,000 individuals, with coverage linking the worlds of business, politics, science and culture. The NNDB Mapper is a creative instrument, helping you to tell a story about the world through the people in it. Billionaire board members, political bankrollers, Hollywood scandal sex charts and more. For a simple demonstration, please watch this brief film, then click here to get started.
The NNDB Mapper is free to use, and allows you to save maps for publishing and sharing. NNDB has been quietly operating in public beta since 2003, serving hundreds of thousands of visitors from around the world at www.nndb.com. CONTACT: NNDBmapper@nndb. About. Metafilter is a weblog (what's a weblog? | comprehensive history of weblogs) that anyone can contribute a link or a comment to. A typical weblog is one person posting their thoughts on the unique things they find on the web. This website exists to break down the barriers between people, to extend a weblog beyond just one person, and to foster discussion among its members. If you're new to the site, I'd suggest taking a look around, checking out the archives, and getting a feel for the place. You might also consider registering as a member. After becoming a member, check out some of the links and think about leaving a comment or two.
The privilege of posting links to main page comes after posting a few comments and being a member for at least a week. To learn more about the history of MetaFilter and hear some Best Of stories, watch this video from May 2010's GEL Conference: Thread: A thread (sometimes called a post) is one of the main messages you see on the MetaFilter homepage.
MetaFilter | Community Weblog. Thinkbase. Google's Social Search Won't Leverage Much of Facebook - PCWorld Business Center. Google's recently released Social Search feature, whose raison d'etre is to include content from users' social-network contacts in search results, can barely tap into the connections people have made on Facebook, the world's largest social network. Social Search, which graduated from an opt-in Google Labs experiment to a default feature on Google.com for signed-in users on Wednesday, will only access Facebook public profile pages, which at best contain bare-bones member information. The problem is that only a small amount of information from Facebook member profiles can be published publicly on the Web.
To access the rest, pe ople have to log into the site. Granted, Google's Social Search feature isn't the only search service affected by this situation. Still, the issue is particularly serious for Social Search, a search feature whose value resides squarely on returning relevant links t o content from users' social-networking rings. Doctor Reviews & Contractors Ratings - Find a Doctor or General Contractor. Watch TV Online for Free - Clicker.