More about the Regions ...
Region 1: Involves the unique text which identifies a unique meaning or concept. In this first region, there are no
differences between the results that a text-based, and an eeggi engine produce.
Region 2: Comprises the text which has several meanings.
In this region, the differences between engines become obvious. The text-based engine will inevitably mix all the results (no
meaning is considered), thus producing disarray and a large number of irrelevant results. The engine using eeggi technology
automatically arranges and groups the results by meaning.
For example, the word “dog” has several meanings, such as:
a) a domestic animal (canis familiaris)
b) a despicable person
c) a mechanical device for gripping
d) a slovenly woman
The eeggi engine organizes the results into four sets, wherein each set contains a single meaning of the word "dog."
Region 3: Involves synonyms or those forms of text that describe the same identical meaning. In this important region, all
results have identical conceptual value, yet are completely ignored by a text-based engine. In contrast, the eeggi engine finds
all the results from Region 3 while arranging them if necessary.
Region 4: Contains information with equal conceptual value to that of any other region. While a text-based engine is not
capable of finding any data, eeggi can find all relevant information with no greater effort.
Region 1: Involves the unique text which identifies a unique meaning or concept. In this first region, there are no
differences between the results that a text-based, and an eeggi engine produce.
Region 2: Comprises the text which has several meanings.
In this region, the differences between engines become obvious. The text-based engine will inevitably mix all the results (no
meaning is considered), thus producing disarray and a large number of irrelevant results. The engine using eeggi technology
automatically arranges and groups the results by meaning.
For example, the word “dog” has several meanings, such as:
a) a domestic animal (canis familiaris)
b) a despicable person
c) a mechanical device for gripping
d) a slovenly woman
The eeggi engine organizes the results into four sets, wherein each set contains a single meaning of the word "dog."
Region 3: Involves synonyms or those forms of text that describe the same identical meaning. In this important region, all
results have identical conceptual value, yet are completely ignored by a text-based engine. In contrast, the eeggi engine finds
all the results from Region 3 while arranging them if necessary.
Region 4: Contains information with equal conceptual value to that of any other region. While a text-based engine is not
capable of finding any data, eeggi can find all relevant information with no greater effort.
dog
a) domestic animal
| Relevant results for the animal |
b) despicable person
| Relevant results for the person |
c) tool or device
| Relevant results for the tool |
d) slovenly woman
| Relevant results for the type of woman |
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Evolution, culture, distances and other factors have eroded the possibilities for text to single handedly identify and recognize the
correct concept. As a consequence, a text-based engine is limited to find results only in Region 1 (yellow area of figure below),
while completely disarraying the results from Region 2 (green area). Region 3, which is identical in concept to Region 1, can not
be searched nor explored using a text-based engine. Region 4 (conclusive or equally conceptual results), is also ignored using a
text-based engine. On the other hand, eeggi can find, organize, and retrieve results from all four regions with no effort.
correct concept. As a consequence, a text-based engine is limited to find results only in Region 1 (yellow area of figure below),
while completely disarraying the results from Region 2 (green area). Region 3, which is identical in concept to Region 1, can not
be searched nor explored using a text-based engine. Region 4 (conclusive or equally conceptual results), is also ignored using a
text-based engine. On the other hand, eeggi can find, organize, and retrieve results from all four regions with no effort.
Why use eeggi? Continuation
Text-based engines only find results in Region 1, while mixing data from Region 2 thus creating irrelevance. Region 3
(identical to Region 1), and Region 4 can not be reached using text. However, eeggi retrieves data from all four regions.
(identical to Region 1), and Region 4 can not be reached using text. However, eeggi retrieves data from all four regions.
SM
Retrieving, Responding and Discovering
SM