This post was syndicated from Alt Search Engines, our alternative and niche search engines blog. Editor's Note: the style of this post is different to what we'd normally do here, but we think the technology is interesting enough to run the post as-is.
eeggi (engineered, encyclopedic, global and grammatical identities) is the world’s first mathematically-based Search and Retrieve, Response, and Discovery engine (ReDi engine), capable of focusing on the concept of text and not just the text itself.
A ReDi engine is a new type of engine capable of not only searching and retrieving information but also responding to direct questions (in what country did Napoleon died?) and discovering data through pure rationality, which is possible thanks to our new technological breakthrough of Relational Intelligence.
Relational Intelligence (RI) is a new informational platform and network that implements a series of new algorithims, processors (or computers) and state of the art eeggis to produce a new type of machine Intelligence which is specifically designed to process concepts, their retrieval and/or their rational discovery. With substantial differences to that of current Artificial Intelligence (AI), RI opens new horizons on information retrieval and processing. For example, once eeggi is taught or discovers that “Mary” is a girl, all the attributes relative to a female human become available and/or distinguishable, thus allowing eeggi to retrieve and respond to all sorts of questions about “Mary” -the girl-.
Because it is immensely more efficient, robust, responsive and comprehensive than any text-based technology.
A text-based engine gives no attention to meanings; as a consequence, it promotes the following problems:
a) Limits findings to the text itself crippling results, and inventory (avoids other equally meaningful data, synonyms, etc.),
b) Allows for numerous irrelevant hits.
On the other hand, instead of just finding the text, eeggi focuses on the meaning behind the text, avoiding the problems above by retrieving all “equally meaningful” data, not crippling inventories, and reducing irrelevant hits. In addition, eeggi is the only engine in the world capable of grouping results by meaning (words with multiple meanings, such as: Right = correct; Right = turning). In short, eeggi saves users’ time and enhances sales.
A Text-based search engine (technology used to search the Internet) finds only the text, exactly as entered, ignoring the concept of the query, thus retrieving millions of irrelevant results while treating words such as “photo” and “photograph” as if they meant different things; and words such as “light” (radiation) and “light” (weight) as if they meant identical things. But eeggi implements Relational Intelligence for retrieving results based on concept and to respect the words’ proximities and relationships.
Furthermore, eeggi permits questioning, such as entering “Where did Napoleon die?” to obtain a single compiled response or… “St. Helena” (not thousands of results), providing superior, conceptually matching, lesser but more appropriate results, with either very little or no irrelevance whatsoever.
* Include synonyms (other words with the same meaning),
* Manipulate similarities (words such as “pretty” and “gorgeous;” yet respecting their conceptual intensities),
* Automatically organize results based on the word’s concept (text with several meanings),
* Reduce irrelevance (allowing very specific and detailed queries)
* Become multi-lingual (handle several languages simultaneously)
* Find conclusive and/or deductive results (other information native to deductive intelligence)
* Respect Directional Conceptuality (avoids inverted phrases and sentences)
* Utilize search controls (user can manipulate search magnitude and behavior)
* Respond to questions
Yes, eeggi was designed to replace text-based technology, and to surpass language barriers effortlessly. Providing more sensible, organized, comprehensive, and conceptually meaningful results, eeggi is the optimum Internet Search engine.
I encourage you to visit the Demo for a trial of eeggi versus text.
To see an example of how an Internet Search engine is limited by its own text please click here.
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It might be cool, but with a name and logo like that, they'll never take off. They look (and the name sounds) like a research project, not something for consumers. I haven't even used the service yet, but I'm already having a negative visceral response to it.
Hire some marketing people, work really hard on consumer-facing language, and maybe then I'll check out your service that does all sorts of cool things.
This isn't an article, this is a press release. As a longtime follower and supporter of RWW, I beg you: just say no to the temptation to cop out like this.
I tried the demo, but could not run it in Firefox on Linux since it needs some missing plugin. To me that's a big minus.
Regarding the technology, I'm not at all convinced that it is any different than current symbolic Artificial Intelligence (AI), despite the claims. I know AI is a loaded term and different people mean different things, but the "substantial differences" from "current Artificial Intelligence (AI)" the article cites "For example, once eeggi is taught or discovers that “Mary” is a girl, all the attributes relative to a female human become available and/or distinguishable, thus allowing eeggi to retrieve and respond to all sorts of questions about “Mary” -the girl-." are standard features of a any reasoning system that implements inheritance....
Further, the description at http://www.eeggi.com/techno2.html looks like your standard "text-understanding" system.
The details are rather sketchy, which is to be expected. I'm curious as to how this performs both in terms of relevance and scalability, since it seems they are doing full parsing and "conceptualization" of the searched texts.
In general, I think we see a lot more semantic processing (called knowledge/reasoning/intelligence) being done to the Web both in commercial enterprises (see hakia, powerset, trueknowledge, etc.) as well as in academia (e.g. KnowItAll)
Press Release or not though, if eeggi can deliver on what it promises in the demo and scale, it may just be one to watch. The thing is we have all been conditioned largely by Google to not only expect search results in the form of links to several web pages but consequently also to search in ways that would yield such results.
When I search on Google I often expect, even before doing the search, to have to do several runs or visit several pages before finding my answer. I almost certainly expect to have to click through to the returned web pages to get my answer.
None of this is efficient but we make do. If eeggi or someone else were to come along and show us a new and more efficient way however, who knows what might happen.
Everyone seems to be trying to compete with Google at what Google does best - providing search results. Eeggi seems to want to do things differently - giving users straight answers.
Thanks for pointing me to this. How would you say this compares to Powerset for instance?
MOOGA This platform is based on powerful hybrid artificial intelligence frameworks that intelligently change the mobile content purchase experience and address all links in the VAS value chain. MOOGA was conceived and developed to vastly improve the user experience in the mobile environment, thereby optimizing the purchase of mobile content. MOOGA also combines these AI techniques to mobile marketing and advertising, taking into consideration user individuality and tastes of the users.
Here you can see a demo of Mooga: http://www.infinitemoco.com/english/mooga.htm
Is this a free service? I want to be involved in the beta. Thank you
DanMT said...
Regarding the technology, I'm not at all convinced that it is any different than current symbolic Artificial Intelligence (AI), despite the claims.
Dan is correct here. I am not convinced that there is something substantially new here. Eg: The popular LSA search algorithm is capable of solving the first few functions listed above for eeggi:
*Include synonyms (other words with the same meaning),
* Manipulate similarities (words such as “pretty” and “gorgeous;” yet respecting their conceptual intensities),
* Automatically organize results based on the word’s concept (text with several meanings),
* Find conclusive and/or deductive results
The AND/OR is just the Standard Boolean technique. Most search engine vendors of today, develop different techniques & algorithms in their product, which makes it versatile to different types of query.
It is good that they utilized different existing algorithms to develop their product with, but the hyping of the technology is something I tend to dismiss most of the time.
Try http://www.iseek.com. It uses advanced linguistic, conceptual, and AI technologies to target searches. The kicker is that it organizes your results by identifying themes, topics, and more into iViews - easy to use menus that guide you to a specific set of relevant results.
They also have an engine that targets only education related resources that brings results not just from the web, but from authoritative resources from university, government, and established noncommercial providers - http://education.iseek.com/