LAUNCHING OF EXTRANET SERVER SITE AS A “PRODUCT”

EDS FORM FOR FRESH GRADUATES

Yogesh - Cyril

Enclosed find

    . Data sheet proposal

    . A note on the "rationale"

      behind creating a database for graduates/ about - to - graduate

Why "About - to - become - Graduates" ?

    . Campus interviews for final year students take place each year between Oct - Dec. i.e. much before

       the final  year exams.       

    . In a Way, we are planning to "help" corporate personal chiefs to narrow - down

    (a) List of colleges to visit for campus interview

           (b) List of students to be interviewed at each college

He should access our database sometimes each Any/ Sept. So that he can take above - mentioned decisions (a) & (b) in good time. If this has to happen, the students must enter the EDS (on - line or an floppy) by June/ July, when they are far from graduation. In fact they have just entered their final year by that time.

Why include "Other than - engineering" disciplines? e.g. Medical / Law.

From the view point of

    . Design of form

    . Memory - space on extranet hard disk

It makes very little difference. So we might as well make the form UNIVERSAL / ALL ENCOMPASSING.

My note "EDS on Floppy" (dt. 23-7-1997)

  In this note I have made some points which I would like to re - emphasize :-

    a. Data encryption once entered (de - encryption only in our office)

b. Provision/ facility for anyone to duplicate (make as many copies as desired) EDS FORMAT on       floppies (without   being able to download any data entered on it)
c. Ability to download the form from Extranet

d. Instructions to phone "Help Desk" and obtain PEN (in case entering EDS on floppy) 
e. Instructions on how to log into our Extranet (for future modifications of their resume)

h.c.parekh

DATABASE OF "GRADUATES"

"ABOUT TO BECOME GRADUATE" ENGINEER/ MGMT STUDENTS

The idea is to build - up a database of such students.

PURPOSES / OBJECTS:-

A. Short - term:-

       To help such student find job

       To help corporate find the right "candidates" for their "Trainee" vacancies.

As of now I am thinking of keeping this service FREE, both to the students and to the corporate. That means we will not collect any fees from either.

The whole idea behind keeping this service FREE is to encourage a very large number of students and corporate to "Register" with us (Become Members) - build up a traffic to our extra-net site - to build - up our corporate image brand.

B. Long - Term

Today’s student is tomorrow's "Executive". Within 2/3 years of taking - up his first - job, such an executive would be an look - out for a "better" job. When he does, we want him to think about 3P and its "services" and come - back to us - and not to any other recruitment agency.

Since we would have their temporary as well as permanent addresses, we could also keep in touch with them thru "circulars" and encourage them to up - date their resume "on - line" once - a - year.

This is our long - term objective.

h.c.parekh

ARDIS _ ARGIS

INPUTS

Yogesh/ cyril

·     Texts

    (A) Printed / Typed Documents

    (B) Electronic Documents

    Examples of Texts

(A)  Printed Documents

·     Bio - datas (Typed)

·     Job - Advts

·     Magazine / Newspaper Articles

·     Directories (Kothari /IRIS etc)

·     Directories (CA/ CS Membership)

·     Bullletins (Bapuji Impex/ Domex)

    (B) Electronic Documents

·     Databases

·     Bio - datas received over Internet / Extranet

·     E : mails

·     Files on Floppies

·     Files on CDs

·     Files on Hard - Disks

·     Files on Tapes

·     Voice / Speech Converted to text (thru speed - recognition software)

 PROCESS

·     Scanning of document (in a "scanner", if Printed/ typed document)

·     Electronic Scanning (if in electronic - file format)

·     OCR (for printed / typed document)

·     Spell - check / Automatic Spelling Correction

·     Search / Identify/ Pick - up "KEYWORDS" from each document / file

·     Give each document a unique "number" (this will be PEN for resume's / Advertisement Nos. etc)

·     Link key - words with document

·     Assign "meaning" to each keyword (based on context)

·     Store each keyword in relevant "Meaning - lines / Fields" to create a database”

·     For each keyword, create directory of "Synonyms & Autonyms"

·     Create a continuously up - date "tables" re : frequency - of - usage of each keyword

·     Create and continuously up - date "tables" re : frequency - of - usage of all words (not only keywords) used "before  & after" each keyword to create "CONTEXT PROBABILITY for each keyword.

·     Repeat above process for all the "Phrases" and "Sentences" in which a given KEYWORD has been used to establish "CONTEXT PROBABILITY" of phrase/ Sentences.

·     If a Keyword has been used in phrase / sentence having a very low "context Probability" then replaces that phrase/ sentence by a phrase / sentence of the highest "Context Probability".

 OUTPUTS :-

·     Databases of

·     Keywords

·     Synonyms

·     Antonyms

·     Bins/ Fields

·     Phrases / Sentences

·     "Frequency of Usage" tables

  PRINTED OUTPUTS:

·     Converted Bio - datas (Full)

·     Brief bio - datas (brief outline)

·     One - line tabulations

·     Standard Letters/ Responses

·     Short - lists of suitable executives.

h.c.parekh