search PATENTSCOPE search system Cyberworld February 2015 Sandrine Ammann Marketing amp Communications Officer To the PATENTSCOPE search system webinar Advanced search Agenda Future developments amp news ID: 391940
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Advanced searchPATENTSCOPE search system
CyberworldFebruary2015
Sandrine Ammann
Marketing & Communications OfficerSlide2
To the PATENTSCOPE search system webinar
Advanced searchSlide3
AgendaFuture developments & newsAdvanced search interfaceWhy use it?“Cosmectic” featuresSearch features
QuizQ & ASlide4Slide5
Coverage : CollectionsPCT applications, ARIPO, EP, EAPO and LATIPAT collectionsSlide6
Coverage : Details of collectionsSlide7
To be added in the futureUKDKAU NZSlide8
New: httpsSlide9
COMPLEX QUERIESSlide10
Advanced search interfaceSlide11
HelpSlide12
Tooltip helpSlide13
Question mark helpSlide14
Advanced search interfaceSlide15
StemStem = stemmingProcess that removes common endings from words. critical critically criticism each word is reduced to ‘critic’ criticisms criticsSlide16
Stemmingno dictionary includes the necessary technical terms to express patent concepts Porter Stemming Algorithm finds words that contain common rootsSave time and effortSlide17
Stemming - exampleResults: 308,082Slide18Slide19
Stemming - exampleResults: 172,233 Slide20
Advanced search interfaceSlide21
Advanced search interfaceSlide22
Advanced search interfaceSearch syntaxSearch fieldsSlide23
Query : terms and phrasesQuery: single word or multiple words or phrasesMultiple terms can be combined together with Boolean operators to form a more complex querySlide24
Search syntaxSlide25
Wildcards – truncation: ? *plural form of a word, or alternative spellings* stands for 0 or more characters? stands single character te?t = test or text electric* = electrical; electricity behavi*r = behaviour or behavior
micro?p* = microspeaker, microsporidial Slide26
Boolean operatorsBoolean operators define the relationships between words or groups of words.ANDORANDNOT - NOTSlide27
Proximity: NEAR = ~5cell NEAR10 pack = «cell pack»~10Slide28
Proximity: beforeEN_AB:(electric BEFORE car)Slide29
Fuzzy searches Use of the tilde: ~Examples: roam~ foam / roamsRoam~0.8Slide30
^ caret = weighting factorSame result but ranking will be differenttouch^3 AND polarizeSlide31
Source: http://spicewallpaper.blogspot.ch/2012/08/green-fields-with-blue-sky.htmlSlide32
Search fieldsSlide33
ExamplesFP = front pageALL = all fieldsALL_NAMES = all namesIC = IPCDP = publication dateCTR = country either WO or country from
nat collectionNPCC= national phase entryAN = origin of PCThttp://patentscope.wipo.int/search/en/help/fieldsHelp.jsfSlide34
Fields rulesBasic fields: elements of a patent documentDerived fields2 letter
code = individual fieldEN_TI FR_AB ES_DE_SConvention: language specified by 2 letters if not specified all languages S = stemmed: to separate term without any spaceSlide35
Fields: golden rulesEN_ALL = default field field indicator not requiredField name followed by : ":" or "/" The field is only valid for the term that it directly precedes, so the query: EN_TI:("wind turbine" AND electric) solarResults: "wind turbine" AND electric in the title field. "solar" in the default field (EN_ALL ).Slide36
Grouping/nestingSolar OR (wind AND turbine)(solar OR wind) AND turbineEN_TI: electric car
electric will be searched in English title but car in all fieldsEN_TI: (electric car)Both electric and car will be searched in the English titleSlide37
Grouping/nestingNot all combinations work:(electric AND car) NEAR power Xpower NEAR (electric AND car) X
power NEAR (vehicle OR car) EN_AB: hearing NEAR aid XEN_AB: (hearing NEAR aid) Slide38
Range searchRange:DP:[01.01.2000 TO 01.01.2001]Can also be used to search non-date fields
IN: {Smith to Terence}Slide39
Date searchSimple:DP:01.02.2000DP:20000201DP:02.2000DP:200002DP:2000 Slide40
In the Publication Date field:ExamplesDP:todayDP:today-3daysDP:today-1WeekDP:today-2Years
Time ranges:DP:[today-1Year TO today]DP:[today-3Years TO today-1year]Simplified time period ranges : DP:Last3DaysDP:Last2WeeksDP:Last1YearLast Publications published : DP:pct_lastpubdateDP:pct_lastpubdate and PA:"University of Paris"Slide41
Example: IPCIC :AIC :A47IC :A47LIC :A47L1IC:A47L11IC:A47L11/03Slide42
Example: grantSlide43
Example: grantSlide44
Example: licensing + 3rd party observationSlide45Slide46Slide47
Example: last pub + applicantSlide48
Example: national phase entryAll applications that entered national phase in China in 2012Slide49
Example: nb of patent applications from France seeking protection in USA in 2012. Slide50Slide51Slide52
Most common errors(….) "…"Field nameNo spaceNo wildcard at the beginning of a wordSlide53
ChallengesDifferences in languages: vent = wind in FR and outlet in ENNumber formatting: 75 percent -75%- ¾- 0.75 Measurement units: : cm/yard/km Synonyms – homonyms: mobile/cell phone mouseHuman error
Name variationSlide54Slide55
Q:1: which national collections were added last in the system?Norway
Germany
Butan
Portugal
A
B
C
DSlide56
Q:1: which national collection was/were added last in the system?
NorwaySpain
Butan
Germany
A
B
C
D
PortugalSlide57
Q:2: when you use wildcard, …
ABThe results retrieved are all relevant
Stemming
is
turned
offSlide58
Q: 2: when you use wildcards, …
The results retrieved are all relevantAB
Stemming
is
turned
offSlide59
Q:3 how to build a query in order to obtain patent documents by the company Huawei with at least one innovator from Germany ?
Huawei AND Germany
A
B
C
D
IADC:DE AND
PA:Huawei
IN:Huawei
AND INA: Germany
CTR: Germany AND IN:
HuaweiSlide60
Q:3 how to build a query in order to obtain patents by the company Huawei with at least one innovator from Germany (DE)?Huawei AND Germany
IN:Huawei
AND INA: Germany
IADC:DE AND
PA:Huawei
A
B
C
D
CTR: Germany AND IN:
HuaweiSlide61
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patentscope@wipo.intSlide63
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