Datamining and Ipr-rajiv

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Assignment

DATA MINING AND IPR

For the partial fulfilment of the course

IPR and Pharmaceuticals

PHA G545

Submitted By

!agaRa"i#

$%&4H&4'$%(P

Submitted to

)r* Sunil +umar )ubey

)epartment of Pharmacy

BI,S Pilani


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,able of -ontents&*% Introduction******************************************************************************************************************************&

$*% ,he Scope of )ata .ining******************************************************************************************************&

/*% Application in Pharmaceutical industry0**********************************************************************************$

4*% )ata mining and IPR****************************************************************************************************************$

5*% About 1P2 and 1spacenet******************************************************************************************************/

5*& 3ission and .ission of 1P2*************************************************************************************************4

5*$ Ser#ices of 1P2********************************************************************************************************************5

(*% Searching forpatents on 1spacenet******************************************************************************************(

'*% 1sapcenet4patentsearch************************************************************************************************************

'*& Smart search*************************************************************************************************************************

'*$ Ad#anced search*******************************************************************************************************************6

'*$*& Searching based on publication date****************************************************************************&%

'*$*$ Searching by Application number********************************************************************************&/

'*$*/ Searching by publication number*********************************************************************************&4

'*$*4 Searching by in#entor or applicant*******************************************************************************&5

*% Searching 7ithin a patent********************************************************************************************************&(

6*% Asianpatent information section*******************************************************************************************&'

&%*% Patent ,rends section***********************************************************************************************************&6

&&*% -onclusion***************************************************************************************************************************$%

&$*% Reference*****************************************************************************************************************************$%


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1.0 Introduction)ata mining is the practice of automatically searching large stores of data to disco#er patterns

and trends that go beyond simple analysis* )ata mining uses sophisticated mathematical

algorithms to segment the data and e#aluate the probability of future e#ents* )ata mining is

also 8no7n as +no7ledge )isco#ery in )ata*

)ata mining is a po7erful tool that can help one find patterns and relationships 7ithin a data*

But data mining does not 7or8 by itself* It does not eliminate the need to 8no7 the business9

to understand the data9 or to understand analytical methods* )ata mining disco#ers hidden

information in the data9 but it cannot tell the #alue of the information to an organi:ation*

2.0 The Scope of Data Mining

)ata mining deri#es its name from the similarities bet7een searching for #aluable business

information in a large database ; for e


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detecting fraudulent credit card transactions and identifying anomalous data that could

represent data entry 8eying errors*

3.0 Application in Pharmaceutical industry

,he applications of data mining in Pharmaceutical industry is increasing9 considering the

enormous number of drugs in research and in the mar8et9 and all the attributes associated 7ith

them li8e the pharmaco8inetic properties9 pharmacological response9 dose9 dosages9

contraindications9 7arning etc* Such huge data 7ill surely find an application in )ata mining*

2ne e


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Some of the commonly used freepatent search engines are0

Boli#en

-anadian Patent )atabase

1spE ce n e t

FreePatents2nline

Google Patent Search

+IPRIS

Patent ens

PatSnap*com

PatentSurf*net

SumoBrain

SP,2

IP2 PA,1!,S-2P1

,his report is focused on 1spacenet pro#ided by 1uropian patent office @1P2* 1fforts are

made to illustrati#ely discuss ho7 once can access the information on desired patents*

#.0 A$out %P& and %spacenet

,he 1uropean Patent 2rganisation is an intergo#ernmental organisation that 7as set up on '

2ctober &6'' on the basis of the 1uropean Patent -on#ention @1P- signed in .unich in

&6'/* It has t7o bodies9 the 1uropean Patent 2ffice and the Administrati#e -ouncil9 7hich

super#ises the 2ffices acti#ities* ,he 2rganisation currently has / member states*

,he Administrati#e -ouncil is one of the t7o organs of the 1uropean Patent 2rganisation9 theother being the 1uropean Patent 2ffice* ,he -ouncil acts as the 2ffices super#isory body and

is composed of the representati#es of the 1P2 member states*

Page ? /
mailto:Esp@cenetmailto:Esp@cenetmailto:Esp@cenet


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#.1 'ission and Mission of %P&

1P2 defines their #ision and mission in their 7ebsite as follo7s0

2ur #ision 7hat 7e 7ant to be

ith e


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#.2 Ser(ices of %P&

S ea r c h a nd e < a m i n a ti on

,he 1P2 carries out searches and substanti#e e


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).0 Searching for patents on %spacenet

1spacenet is a po7erful tool pro#ided by 1P2 for searching patents* It has #ery user guides

so that e#en beginners find patent searching #ery easy* For e


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Also9 as IPR is becoming more and more technical o#er the decades9 lot of terminologies ha#e

been added* 1spacenet gi#es a glossary of all such technical terminologies and their

e


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*.0 %sapcenet+patentsearchIt allo7s searching for patents in /

7ays0

& Smart search$ Ad#anced search

/ -lassification search

*.1 Smart search

Page ?


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,his feature of Smart search 7or8s based on the principle of fu::y logic* ,hus9 one can

search by any of the 8ey7ords li8e the title of patent9 publication number9 its in#entor9

the focus of patent li8e name of a molecule etc*

2nce a search is done9 all the related patents 7ill be displayed 7ith the follo7ing details*

& ,itle of the patent

$ In#entor

/ Applicant

4 Publication info

5 Priority date

2ne can choose the desired patent from the list*

*.2 Ad(anced search

In the ad#anced search9 one has to enter the specific details of the patent in the respecti#e

fields* ,his results in more refined search* ,he attributes based on 7hich one can search are

,itle

Application number Publication number

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Priority number

Publication date

Applicant

Inno#ator

,he page loo8s as sho7n belo7

*.2.1 Searching $ased on pu$lication date

,he publication date is the date on 7hich a patent application is first published* It is the date

on 7hich the document is made a#ailable to the public9 thereby ma8ing it part of the state of

the art*

In 1spacenet9 the publication date of 1uroP-, applications displayed in the Bibliographic

data refers to the documents @A% publication date in the 1uropean publication ser#er*

2nly the publication date of the A document is searchable*

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,he publication date can be entered in any of the follo7ing four formats0

yyyymmdd

yyyymmdd

ddmmyyyy

dd*mm*yyyy

1


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In the abo#e illustration9 patents published on /rd September9 $%&/ 7ere searched* ,he $%%%J

results sho7 that $%%%J patents 7ere published around the 7orld on that day*

In the belo7 e


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*.2.2 Searching $y Application num$er

,he application number is the number assigned to a patent application 7hen it is filed*

All application numbers of all countries are standardised to one format9 irrespecti#e of the

7ay in 7hich they are printed on the patent documents* For the ma"ority of countries9

application numbers in 1spacenet are made up of the c ount r y c o d e @t7o letters9 the year of

filing @four digits9 and a serial number @#ariable9 ma


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,o retrie#e all the documents ha#ing a particular c ount r y c o de in combination 7ith other

entries @dates9 etc*9 all one needs to do is enter the country code @e*g* GB in the application

number field in combination 7ith a date in the publ i ca ti on d a te field*

,he follo7ing illustration sho7s the results displayed by searching through application

number*

*.2.3 Searching $y pu$lication num$er

,he publication number is the number assigned to a patent application on publication*

Publication numbers are generally made up of a country code @t7o letters and a serial

number @#ariable9 &&$ digits @e*g* )1$%$%%4%%6'(*

,he publication numbers of published S applications9 ho7e#er9 consist of && digits @e*g*

S$%%4%%4(6$* !ormally only the number of the first publication le#el is searchable*

,he format of P-, @2 publication numbers has changed o#er the years0

From &6' until /% Lune $%%$ it 7as 2MMnnnnn @t7o digits for the year and fi#e

for the serial number*

From & Luly $%%$ to /& )ecember $%%/ it 7as 2MMnnnnnn @t7o digits for the year

and si< for the serial number*

Since & Lanuary $%%4 it has been 2MMMMnnnnnn @four digits for the year and si

$ Grant procedure

/ Facts and figures

4 !umbering System

FA> page ans7ers the common =ueries related to patent filing in a particular country* For

e page loo8s as follo7s*

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Also flo7charts

describing the o#erall patent procedure is pro#ided 7ith the time ta8en in each phase*

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Mou get to 8no7 the o#erall procedure of patent filing in a particular country* For e


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11.0 /onclusion)ata mining is increasing itCs application in e#ery domain in the recent years* Intellectual

property rights @IPR has #ast amount of data9 and thus the data mining surely has its

immense application in it*

1spacenet9 a patent search engine pro#ided by 1uropean Patent 2ffice is a leading search

tool* ,his report is an attempt to illustrati#ely present ho7 it 7or8s and thus e

Documents

Datamining and Ipr-rajiv