project and "Main" Search Engines Latest Products and Technologies (such as Google Laps – part of Google’s Official Website) was recently published by our (R&D Department). The result demonstrated that even though some of Google’s Lap "Graduates"/ Beta Products are fairly notable, other products and tools, such as “Google Reader”, “Suggest” and “Notebook”, are merely a "simple Gadgets" when it comes to innovative technology. The same goes for major Google™web functions such as: I am Feeling Lucky / "Search Within Results", which is no more than an (Inadequate) usage of Typical web search methods that utilizes old, 1990s Keywords Based Search Methods and Techniques. At GETCA Inc. We firmly believe such technologies will be Insufficient to address the needs of Modern day web surfers. Though there are numerous projects similar to ours, (please check Open Source Projects which could be found at sourceforge.com and Similar projects hosting Websites), upon closer examination of our application’s (Technical and Functional prospect), it will become apparent that our technology has a superior edge over our competitors. However the Technologies which are still in the theoretical stage (Papers, Dissertations …etc ) are "Theoretically" More impressive in Comparison to the previously mentioned ones. Nevertheless, there is still a long way between "Theoretical Ideas" and Functional Platforms, (Which is the Stage we Have Successfully Accomplished). We traveled that road and we know the difference between ideas and functional applications.
own repository accordingly. It will acquire Web-based Knowledge Utilization in the form “Dynamical and Interrelated Conceptual Chunks “which would be: 1. Verified (by comparing it to other stored, confirmed or uncertain concepts strings) 2. Enhanced (by making its semantic – contextual blocks design auto upgradeable) 3. Linked (with compatible / diverse forms of relations: coordinate, derivative … etc) 4. Evolve (used as a base for suggested evolving concept, context and knowledge) 5. Customized (to different types of applications labelling: QA, Power Search … etc) 6. Flexible (multiple forms / knowledge dimensions depending on user search needs) The technology we Partially Implemented and Tested (2006) exceeds the highest industry standards available "Commercially", but our (Current) dependency on major Search Engines (as a web pages provider) (with its Keyword Based Search - Traditional Ranking Methods) instead of indexing our Own dynamic web repositories is Slowing our system processing capabilities (A Traditional Metasearching Problem), the solution will be to Harvest the web and Analyze it, as well as accumulate the outcomes in accordance with our Equations/ Parameters, the resulted Dynamic / "Multifaceted" repositories will eventually be used to retrieve results (Matching) Complex "Multistage Queries" and have the ability to respond to sophisticated tools (QA , Power Search … etc). Its clear that the current Major search engine approach of "Destroying" the web page Concept and Context by applying "stop words" eliminating technique, ignoring the Lingo relations / aspects, with a Very shallow Contextual / Conceptual analyzing techniques, and lack of AI Powered / Semantic enhancing of the Web pages, resulted in a Very Poor and Traditional Keywords Based Web Search solutions which is incapable of supporting complex web surfing needs. The other side effect "Standard" search engines suffer, is the lack of AI powered technologies which could Recognize / Analyze the Actual Meaning (Concept) of the user query using Interactive methods, and utilizing AI Powered Web text analyzing techniques. For example our technology "AI - Semantic" related keywords such as (NLP and QA), could be "Mistaken" for other, not related yet popular web searches, Example: QA is usually the Acronym for words (Combo) such as: "Quality Assurance" or "Question & Answer" .. Etc, and NLP is famous acronyms for: "Neuro - Linguistic Programming", Though such issues posed a Challenge to our Standard Search Engine’s "Ranking" (Please check our project ranking at the Home PAGE), keywords as these Represent an Important part of our "Main" technology’s concept and should not be altered. Having said that, we still believe in our obligation to use such (Words) in their "Correct" context. We are confident that, when we launch our project, our technology will (Eliminate) such problems and confusions. At GETCA Inc. we took the previous aspects into consideration when we applied our (Multitasked, Dynamic and Interrelated) solutions while keeping in mind the variety of "Factors" influencing the Futuristic need of Web surfing. Our AI Powered, Dynamic And Interactive Web Search Tools will not only save web surfers time but will also bring more fruitful results. > To verify the quality of our technology, our R&D / Development team insisted on extensively testing all of the standard / specialized search engines. The end result of our tests and research proved that our confidence was not misplaced. We concluded that when it came to Major Technologies related to advances and web searching Knowhow such as: NLP (Natural Language Processing), QA (Question Answering), B2B Autonomous Agent technology, etc, our technologies on Both fronts, were far more superior to other Commercially and/or Academically available Comparable products / solutions. We took into account that the technology is still unstable and more advancement is expected in the very Near Future. Yet, this is a "Journey" we cannot afford to miss. The Intelligent and Interactive Search Engines are here to stay. But we will not stop there! To accommodate the ever evolving nature of our business, we "Literally" had to revise hundreds of project related documents (in both the web searching and B2B web based technologies), analyze a variety of web techniques and tools, as well as validating and executing (for comparison purposes) Various Applications / Source Codes (Please check comparable technologies at Sourceforge , the Code Project or similar web sites).
(as a whole) to any similar "AI Powered" Web Search and Online B2B Technologies, whether it’s sold commercially as Standalone software / application or in an Open source Format (with Academic or Commercial support), Although it is difficult for us to list such platforms, (Confirmation) of this can be viewed on sites such as www.sourceforge.com, www.download.com, MIT / Stanford university, etc. We are not seeking minor improvements to the current web search techniques. We also did not strive to building another Google™, www.business.com clones, or add-ons. What we are aspiring to achieve is the ultimate Strategic goal of making our technologies and systems the smartest and most efficient.
the delivery of an impressive and innovative base System. At GETCA, we are on our way to develop a technology capable of (interacting)with web surfers in a friendly and intelligent manner, and delivering Pinpoint Creative results to them which save time and effort. The obvious conclusion we have arrived at through our research is that "Savvy Searchers" are more interested in utilizing optimal web services that deliver Relevant results in a friendlier, informed - dynamic manner as opposed to Wasting precious time sorting through millions of irrelevant results even if it was done in a very short time.
our best to separate web technologies based in its use by the G.A.S.E.T (AI Powered) / all purpose Search Engine and its B2B platform with web agents oriented technologies (G.B.S.E.T), yet still you will see that they do share Most of their Main Components and Techniques. |
Summary ...
- We have identified all the potential problems facing the intelligent information retrieval and succeeded
in finding ultimate Solutions that took into consideration the Complexity and Diversity of the web in a
way no other Comparable technology firm has been successful in achieving. All of our project’s details
have been documented in a technical paper which could be used as a main guideline in explaining our
technology. The paper has been (modified) since then to better describe our web tools. International
patenting is in process.
- Since our project deals with surfing the web using Dynamic / Interrelated concepts rather than words,
we are able to minimize time spent by the web surfer (scrolling) through the web results pages, as in
the case of a standard search engines conception. By giving him/her a narrowing of choices Eliminates
unrelated results from early on in the web surfing process and by employing our advance AI Powered -
Interactive "Web Knowledge Enhancement" technologies and techniques.
For example, if User chooses the word (Jordan) as a query, our system will ask if the user meant the
Country, the River, the Basketball Player, etc , which Type of (Info or Concepts) the user is looking for
And in which Context (Location, Time period, Lingo Relations, etc) when he/she choose the Basketball
Player we will narrow it more by suggesting potential Words and Relations which will group his results
in a way that will be possible for our system to target specific field. Such task will be hard without the
innovative Parsing of our web repositories which take in consideration semantic, contextual and other
forms of Dynamic relations.
Downscaled version (in both Java and C#) of our Tech / System which gives (Semantically Enhanced)
Web-based related choices is currently implemented in our Beta version of the project, our next stage
will be full implementation of our (Equations), which will take, as we mentioned before, hardware and
software resources we seek financing for.
- We have known for a while now that Web Surfers tend to use Minimum query words as possible (45%
of the time one query word will be chosen), suggestions of web query Replacements and Adding extra
terminology to their Original query, will be used as Results (Categorization / Narrowing) feature. Such
function will be of a great help to the web surfer by (aiding them to enhance) their web search subject
category. In addition, a continuously modified list of suggestions, which will be similar to semi analyzing
numerous "Expected results". This will help in Enhancing, Expanding or Minimizing the query selection
strategy, which is helpful particularly for Vague topics that require semantic Web knowledge utilization
/ enhancement.
Technology Implementation Methods
- We Enhanced our own version of the indexed web repository with the needed linguistically harmonized
terms in "Verities" of combinations using our highly Integrated Expert System. We then Re-ranked the
Results according to their web Conceptual Matching and Linguistic Credibility using our Innovative and
(Dynamic) AI Enhanced NLP techniques and parameters. Afterwards we Filtered, analyzed and indexed
the retrieved web pages to Dynamically - Autonomously determine its Concept, Contexts and Semantic
values and relations. We achieved that by analyzing the adjourned Set of Terms, Page Concept, Unified
Blocks of Information (UBI), and finally Implementing AI Powered / Autonomous Re-learning mechanism
and techniques to compare, rank and interrelate generated concepts to other concepts.
- We think that the current ranking factors employed by traditional search engines lean more toward the
Commercial aspects rather than the Aged (Prior to 1995) Dictionary simulated ones which was also an
unimpressive technique. We do believe that (Ranking of Web Pages) should be determined by Applying
rigorous Multifaceted and Multitasked analyzing techniques to the Web Pages Soul and Contents, that
should take into consideration relations between the user query (Concept) and our specially analyzed,
enhanced, dynamic, interrelated and taxonomies Web Based Repositories. - We believe that Web-based concepts are "Evolving Objects of Knowledge”. Different concepts will be
viewed differently depending on the Surfer’s Knowledge and Background which incorporates cultural,
educational level …etc. - To meet the standards set by our project’s steering committee, we had to think "Out Of the Box" by
applying indexing, clustering, syntax, verifying, etc methods to address web related technical matters. - Pagerank and other ranking methods used by Standard Search Engines are "Skillful" when seeking a
simple request such as Car Rental Company (the example used by Google™ Founders to prove their
superiority over AltaVista™ back in the early nineties by bringing Hertz in the first position). However,
this method will come "Short" when a more (Complicated and Multifaceted) queries request is asked,
especially when we consider that the current Keyword based search techniques utilized by standard - search engines (dates back to early 1990's) is limited to backdated ranking methods/ factors such as
seeking bolded words or words located in the title of the web page...etc. - We all tried standard search engines and we all know it has (Major Shortfalls). Web surfers Switched
- from AltaVista™ to Google™ when they were given a better alternative, which was not Revolutionary
- by any measurement (ranking factors is getting manipulated by SEO experts routinely), and they will
switch again if they see a breakthrough in web searching methods.
- The Non Official 100+ ranking factors currently implemented by main search engines such as Google™
to determine web pages Rank (The most Single Important Factor of the Search Engines Mythology)
were Studied - Tested Extensively by our project Strategic Steering Committee. Even though some - of its main points, such as HTML Tags, Title, etc, where Important, yet we think it wasn't "Ambitious"
- nor Advanced enough to match our project goals.
Even for what we call G.A.S.E.T Shallow Parsing of Page Components, without our (Comprehensive)
AI Supported Deep Analysis of Page components Context and Concepts (Which is Temporally frozen
till we upgrade our system to a more suitable hardware and web repositories), still we did (Produce)
an advanced ranking formulas which has better capabilities than current traditional search algorithms,
also our current (Primary Phase) of temporarily using none-dynamic logarithms (Beta stage), was still
capable of producing more superior results than the standard search engines.
Summary ...
Standard search engines are barely tolerable in comparison to the
more technologically advanced B2B Search Engines/ Platforms. Its
search methods are (Traditional) and slow as well as "Directory"
based. Much time is wasted in conducting routine web based B2B
procedures; procedures that (do not) take into consideration the
Requirements and "Needs" current business people look for in a
reliable and inclusive B2B web search platforms. Speed, Inclusive
Coverage and Financial Support Services, are Crippling standard
search engines from Successfully serving its customers needs. In
comparison, our Web based B2B motivated Agents Technologies
will lead the way toward dynamic and cost effective, Multifaceted
- tasked autonomous services.
G.B.S.E.T was built to help the B2B communities accomplish their
online financial tasks. This was done by building Interactive Web
search engine with Autonomous, Intelligent, Concurrent and
Dynamic business conducting tools. Its main goals are to:
- Develop B2B International (Collaboration) based on Trust,
Ease of use and Flexibility among all trading partners, with
high level of security and a personal touch.
- Invoke multiple (B2B Exchanges), online Business Services
& financial institutes in order to establish dynamic business
platforms which depend on our AI Based Self Sufficient E-
Matching, E-Brokering, E-Negotiating based Technologies.
- Integrate (Multilateral Frameworks) to promote Complete
technological neutrality, & Dynamic - intelligent multitasking
financial operations with flexible online trading approaches.
challenges faced by web surfers who expressed the need for intelligent / dynamically integrated solutions, a system that "Understands" the real meaning behind the query, while having the capability of Conducting a (Multifaceted) web search tasks and Interacting with the user in a friendly and intelligent manner. We succeeded in achieving our objectives by addressing numerous areas, including Language Analysis, Web Concept Extracting and Knowledge Base Construction to name few. The conclusion that reached was based on the important realization that in order to meet our web users’ Stringent demand, we must have a Pioneer (AI Powered) web based technologies supported with a Semi Supervised Autonomous Learning Capabilities. Such system should be capable of "Modifying" its own rules, parameters and its web repositories accordingly. Our project was designed based on a comprehensive vision of the web structure to avoid any "Risky" approach. Such system will demand Dynamic and Rigorous Formulas with the ability to make our application Intelligent, and more superior than current typical Search Engines and (Chatbots), combined with virtual tasks implementations capabilities. With the advent of the Internet (Beyond) keywords, GETCA Inc. uses innovative algorithms, state of the art (NLP / G / U), and autonomously, intelligently generated, ontologies to provide better search capabilities for complex queries. The goal of GETCA Inc. is the establishment of a semantically integrated web. Our Knowledge Web Based semantic search engine with AI enhanced -ontology based analysis techniques is an example of our (Current) achievements. GETCA Inc. will Pave the way for a smooth migration from "Traditional" web to AI Powered Semantic Web. (Beyond) today's Keywords based search. Our vision is to ease the process of finding the (Right) answers to any given query. Our Next target will be to provide (Accurate) pieces of textual material and summarizing it to suit a definite context. |
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Important: our comprehensive technological based documentations / info was written to be evaluated by search engines
Experts, yet its not too technical for the "Non Experts".
- G.A.S.E.T Project Technologies: Click here to View - Right Click to Save / Download
G.A.S.E.T Web Knowledge Mining, Interactive - Dynamic results Enhancing, and Data Integrating Techniques, can handle
Complex search tasks, setting the stage for its Semi supervised and (Semantically Enhanced) autonomous web learning
capabilities. We Don't think of our project as some kind of "Replacement" to Standard Search Engines, rather a solution
which give web searcher the opportunity to "Supplement" Traditional Web search tools with our vision of the future.
- G.B.S.E.T Project Technologies: Click here to View - Right Click to Save / Download
GBSET Specialized / Multifaceted B2B Web Repository, work as a dynamic knowledge Base for its (Inner Decisions Making
Processes), which eventually will be used to support our AI powered and semantically and NLP/NLG/NLU enhanced B2B
conducting processes, dynamically supervising, monitoring and reporting (70+) parameters such as: shipping info credit -
stocks condition, and other (Vital) financial, economical and technical factors related to the users ongoing project, saving
85% of time spent online, and provide them with More trustworthy/comprehensive results.
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