Summary !



  Power Search

    The main inspiration behind Power Search, is to assist the Web Surfer in Anticipating Multi level web searching
    tasks. This is done by using the web as a base for our self modified and customizable Re-Learner agent. With
    its auto query adjustments and multistage searching, and its Redefined as well as readjusted web repository,
    the application of such Dynamic / complex techniques lead to the adaptation of conceptual base construction,
    by Re-Implementing its newly acquired dynamic conceptual – contextual knowledge foundation. Such dynamic
    technology is in place to assist in identifying the web pages identities, semantic and perception relations with
    Other webpages and sites. This is done in away that takes into account compatible compatibility in regard to
    serving web surfer's need to have complex searching process, compatible with the density levels of his query.

    Our innovation will enable our system to Understand a query, such as (car manufacturing), as a "Task" which  
    need to be achieved. It will then find resources, Technologies,etc, related to the specific query, Organize it in
    One Block of information, along with other related links "Regardless" of its initial location on the web.



  Topic Search

    It will be used by Web surfers to locate web pages with topics that match users’ query.

    Our technology uses a pioneering method to Decipher Webpages (Parts or as a whole) framework - concept.    
    It will also check "Multiple Facets" of the page in regard to it is Relevance to (Already Stored, Analyzed) and
    confirmed dynamic concept containers, which is used by our system to evaluate, rank and re-modify our web
    repositories.

    The end result will be that a topic search such as Car Manufacturing” will find pages which semantically and
    syntactically Match the web query, with Sentences and Words such as, machinery, raw material, tools, sales,
    testing ... Etc , in a Harmonized Linguistic Form. The results and pages containing them will be More Related      
    to the topic than calculating the number of times the query wordsCar” and “Manufacturing” are repeated
    on the web pages (Plus Standard Factors like being in the title,bold or near each other, etc) with Complete
    disregard to its semantic, conceptual / contextual relations to other Blocks of Knowledge found at the same
    sentence or the paragraph.

    We used complicated logarithmic technology to Enable our system to Constantly Self Modified - Configured        
    its Own Rules / Ranking factors in an attempt to keep the Unique Linguistic forms, dialogue types / cultural    
    lingo differences in prospect. Such procedures will enable the project to be updated autonomously.



  QA (Question Answering)

    Considered by our staff to be the Project “Gem”, which is Capable of Analyzing (Based on a Multifaceted,  
    Dynamic, Specialized Linguistic Knowledge Base) the user’s Complex - Multi-Facets Question, and then
    dynamically Locate, Generate & Customize the proper answer/s. Such Technology employs (Hand Crafted)          
    / web extracted linguistic rules – patterns which are capable of virtually realizing the "Question Concept"        
    and its (Contextual) relations to other parts of its Linguistic Block. It will then Find and / or Customize a
    sentence or a paragraph which "Meets" the Answer Criteria in a Logical manner (optional Corresponding
    Thesaurus, Expected Forms of Answers … etc). Such task will be done only by (Anticipating) user question
    category based on Foreseeing Related Questions answers results compiled from our “QA” dynamic and
    specialized knowledge database.

    This is done by Engaging the Web user in some sort of a smart Dialogue, which will facilitate in narrowing           
    the received results (such technology will be employed upon the full Integration of the needed web based
    Databases / Resources into our system in addition to a Huge hardware dependency task which we will be
    acquiring soon).



  Multimedia Search

    The future of Web surfing will be determined by the Web user’s need for analytical application capable of           
    Tagging and Grouping massive amounts of "Multimedia Resources" which use the Internet as a storage       
    facility, our ranking technique will be the other decisive factor, it will be based on the dynamically mined
    concept  from its Associated information ( Not only Titles / other HTML tags ). Information in the form of  
    critiques and opinions, etc (without the downloadable file) which is Available on other Web Pages, and              
    conceptually related to the web query subject, will be used later on for Enhancing and Classifying similar
    downloadable files.

    Our Multi-Faceted and Dynamic NLP Parser will set the stage for the needed item Classifications which           
    will be used to search multimedia Web Resources such as: Photos, Papers, Videos, Audios, etc, with an
    advance customizable matching technology, using conceptual, contextual / semantically based analyzing
    methods and knowledge extracting and utilization techniques.

    In Contrary to other methods we regard the online Multimedia Web Resources as ours to use with no
    need to re-categorize and Re-restore it in Specialized websites (like: Google™ video, YouTube, etc). We
    have succeeded in creating "Special" techniques which we use to analyze, tag, connect (To Knowledge
    Bases) and filter such multimedia sources (In it is original location).



  Search Results Page

    Improvements to the traditional search engine results page were introduced in order to give the web                
    searcher an option To Chose between receiving our Dynamic / Innovative Version the of the Standard         
    Results Page Snippets or:

    1. Related Page / Paragraph Keywords List (most important conceptually related words).

    2. Complete Related Paragraphs (paragraphs matching the query semantically).

    3. Downloads (list downloadable web page parts/ used with multimedia specialized search).

    G.A.S.E.T uses a friendly (Scroll down window) which will keep the search results page Proportionate            
    while giving users the ability to "View" Webpages concept and content Without the need to open the         
    actual web pages. In the Near future our system user will be able to (Dynamically) present "Related"
    parts of (Matching) webpages without the need to Leave our G.A.S.E.T result page. Our UBO (User
    Behaviour Analysing / Observation) application will Save more time by "Identifying" the Web Surfer’s
    Results Page "Analyzing" patterns and subjects of interests .



  Examples of other services:

    We consider our tools to be superior to other similar technologies used by Standard search engines
    due to the Implementation of an advanced AI Powered Technologies and Techniques. GASET Employs
    special searching techniques based on conceptually, semantically and contextually analyzing factors.

    (Details available upon request or you could check our  Technology Page):

    •        GDM Concept Suggestion: will find directories based results conceptually matching user query

    •        Similar Page: will find pages similar to the ones user found to be matching the original query

    •        Search within Results: by enhancing user query to locate similar web pages to the user favoured

    •        Local search: will search within the user desired geographical locations

    Our GASET (GETCA Advanced Search Enhancement Technology) Intelligent and Interactive search engine, has four
    main unique features which are Not available in other "Standard" or specialized search engines. Its Interactive, AI
    Powered and Semantically Enhanced Web analyzing technologies make it possible to "Outrank" any commercial or
    academic web based tools.

    We hope that the following Summary will give you an idea about our Project's Potentials, including a system which      
    employ a Semi supervised (fully Autonomous - In the Near Future) Learning capability supported with our dynamic         
    Web Knowledge Modifying Technology, including the capability to Evolve and Compare its parameters / databases
    Autonomously, in Accordance with the New Data / Knowledge it acquired.

    Our Interactive and Intelligent system will be able to analyze, cluster, enhance and rank the query results (not only           
    web pages) more effectively, by utilizing our advanced AI Inspired technologies and Techniques in order to Analyze          
    the Users query concepts accurately. At the same time, our semantically enhanced solutions will make possible the
    appropriate elimination of inaccurate results. There will be no way whatsoever to "manipulate" our Intelligently and
    Autonomously Modified formulas and ranking factors, Not Even By Us.

    To get a Comprehensive understanding of our projects, an in-depth review of it’s documents, (Demos and Videos)
    Preferably by search engines technology experts will assist your Firm in anticipating our project Current Value, and
    its Futuristic commercial potentials.

  • G.A.S.E.T Project / Tested Features:  Click Here To View   -  Right Click To Save / Download

  • G.A.S.E.T Project /  Screenshots + :  Click Here To View   -  Right Click To Save / Download


  • G.A.S.E.T PPT Based  Animation Video  -  Click Here To View  (Coming soon)
Important: Comprehensive Info Available at  ....
AI
Copyright © 2007-2014 gaset-gbset.com
    << Important Note >> The following is Screenshots of GASET (Beta / Testing Platforms), with
    Only a Partial Implementations of our Tools and Technologies (Yet Still More Advanced Than
    Other Competitive Systems). Inclusive Launching of GASET Systems and GETCA Additional
    R&D Projects (Such as: Social Web, AI and Robotics, E-learning, Psychological / Autism
    Treatment, etc.) Will be Available in The Near Future.