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Access to patent information and the role of classification
Mikhail MakarovMikhail Makarov
World Intellectual Property World Intellectual Property OrganizationOrganization
IPC Forum 2006IPC Forum 2006
GenevaGeneva
Aspects of Patent Information
Legal - rights for inventionLegal - rights for invention Economic - assessing economic dynamicsEconomic - assessing economic dynamics Technological - technology transferTechnological - technology transfer
Advantages of Patent Information
Uniform structureUniform structure Most recent informationMost recent information Not published in other form of literatureNot published in other form of literature Industry-oriented informationIndustry-oriented information Problem-solving approachProblem-solving approach Over 50 million documentsOver 50 million documents Can be freely used to support research Can be freely used to support research
Uniform Structure of Patent Documentation
Presentation and data elements follow Presentation and data elements follow WIPO standardsWIPO standards
Abstract - concise summary of technical Abstract - concise summary of technical disclosuredisclosure
Description - background and details of Description - background and details of inventioninvention
Claims - new technical solutionClaims - new technical solution
Dissemination of Patent Information
Industrial Property OfficesIndustrial Property Offices Patent Information Centres (over 300 in Patent Information Centres (over 300 in
Europe)Europe) Commercial vendorsCommercial vendors Medium:Medium:
- paper- paper- optical discs - optical discs - Internet- Internet
Use of Patent Information
To avoid redundant researchTo avoid redundant research To evaluate specific technologyTo evaluate specific technology To identify new technical solutionsTo identify new technical solutions To identify state of the artTo identify state of the art To assess novelty and patentability of To assess novelty and patentability of
potential inventionspotential inventions To monitor technological progressTo monitor technological progress To monitor competitor’s activitiesTo monitor competitor’s activities To identify existing IP rightsTo identify existing IP rights
Unique Applications of Patent Classification
Use of patent information for:Use of patent information for:- investigating the state of the art- investigating the state of the art- preparation of patent statistics- preparation of patent statistics- organization of search files- organization of search files- selective dissemination of information- selective dissemination of information
Brief History of Patent Classifications
Alphabetical Lists of Patents (France, 1771)Alphabetical Lists of Patents (France, 1771) Classification Systems:Classification Systems:
- US Classification (1872)- US Classification (1872)- German Classification (1877) - German Classification (1877)
- British Classification (1880) - British Classification (1880) - Proposal for an international classification (1904)- Proposal for an international classification (1904)- European Classification - 1st edition of the IPC (1968) - European Classification - 1st edition of the IPC (1968)
Brief History of the IPC
1971 - Strasbourg Agreement1971 - Strasbourg Agreement 1974 - 2nd edition of the IPC1974 - 2nd edition of the IPC 2000 - 7th edition of the IPC2000 - 7th edition of the IPC 2006 - 8th edition of the IPC (reformed 2006 - 8th edition of the IPC (reformed
IPC) IPC)
IPC Growth(classification groups)
47,26351,428
55,46758,096
64,191 66,312 67,634
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
Nu
mbe
r of
Gro
ups
IPC 1 IPC 2 IPC 3 IPC 4 IPC 5 IPC 6 IPC 7
IPC Editions
IPC Growth for Some Rapidly Expanding Technologies
107 107
297374
517
706
296353
451 476602 632
453
779839
957
1,2981,418
1966
712718
0
500
1,000
1,500
2,000
2,500
IPC 1 IPC 2 IPC 3 IPC 4 IPC 5 IPC 6 IPC 7
IPC Editions
Nu
mbe
r of
Gro
ups
Biotechnology
Computers
Medicine
National Versions of the IPC ChineseChinese CroatianCroatian CzechCzech DutchDutch GermanGerman HungarianHungarian JapaneseJapanese KoreanKorean PolishPolish RussianRussian SerbianSerbian SpanishSpanish
Other Existing Patent Classifications
UK Patent Classification - 40,000 groupsUK Patent Classification - 40,000 groups DECLA (German Office) - 100,000 groupsDECLA (German Office) - 100,000 groups ECLA (EPO) - 130,000 groupsECLA (EPO) - 130,000 groups US Patent Classification - 150,000 groupsUS Patent Classification - 150,000 groups Japan Patent Classification - 190,000 groupsJapan Patent Classification - 190,000 groups
Different Kinds of Search with the Use of the IPC
Novelty SearchNovelty Search Patentability or Validity SearchPatentability or Validity Search Infringement SearchInfringement Search Informative Search (state of the art search)Informative Search (state of the art search) Legal Status SearchLegal Status Search
Searching of Patent Information
Text searching:Text searching:- Databases containing abstracts- Databases containing abstracts- Full-text databases - Full-text databases
Classification-based searching:Classification-based searching:- IPC- IPC- Other classifications- Other classifications
Text Searching
Advantages:Advantages:- Easiness to use- Easiness to use- all invention details may be retrieved - all invention details may be retrieved
Disadvantages:Disadvantages:- Problem of synonyms - Problem of synonyms - Various languages- Various languages- Inconsistent terminology - Inconsistent terminology
Classification-based searching
Advantages:Advantages:- Gives more complete results than text searching- Gives more complete results than text searching- Independent of the language of the text- Independent of the language of the text- Independent of the changes in terminology - Independent of the changes in terminology
Disadvantages:Disadvantages:- Complex structure of classifications - Complex structure of classifications - Requires study of classification rules- Requires study of classification rules
Searching of patent information
Classification adds information value to Classification adds information value to patent documentspatent documents
Combination of classification-based and Combination of classification-based and text searching gives best resultstext searching gives best results
Identify IPC for SearchSimilar documentsSimilar documentsCatchword indexCatchword index
SUBJECT OF SEARCH IPC:CLASSSUBJECT OF SEARCH IPC:CLASS
IPC IPC SectionSection ClassClass SubclassSubclass Main GroupMain Group One-dot GroupOne-dot Group
Three-Step Retrieval Strategy
F ull texts tudy
A bs trac t brow s ing20 - 50 docum ents
B ib liographic searchIP C + keyw ords
100 - 1000 docum ents