1. Comparison of Free Technology Information Databases Jerusalem 21 July 2010 Alex Riechel Associate Officer, Innovation and Technology Support Section

2. Overview Finding patent information (patent databases) Finding scientific and technical information (search engines) Accessing scientific and technical information

3. Finding patent information PATENTSCOPE® search service esp@cenet JPO IPDL USPTO PatFT/AppFT

4. Coverage : General distinctions Patent collections Which countries or regions? Document types Patent applications? Granted patents? More? Document elements Bibliographic data? Descriptions? Claims? Time period Languages Multiple language versions? Translations?

5. Patent databases : Collections PATENTSCOPE ® search service : PCT 8 national and regional collection (Israel) esp@cenet : EPC + EPC member states (37) Around 50 other national and regional collection (Israel)

6. Patent databases : Collections JPO IPDL : Japan only USPTO PatFT/AppFT : US only

7. PATENTSCOPE ® search service : Coverage All WO applications from 1978 Titles (EN and FR) : from 1978 Abstracts (EN and FR) : from 1978 Int. Cl. : from 1978 Full-text : from 1978

8. USPTO PatFT/AppFT : Coverage Granted US patents from 1790 (PatFT) Published US applications from 2001 (AppFT) Titles (EN) : from 1976 Abstracts (EN) : from 1976 Int. Cl. : from 1976 US Cl. : from 1790 Full-text : from 1976

9. USPTO PatFT/AppFT Search

10. JPO IPDL : Coverage JP patent specifications from 1885 Examined JP applications from 1922 Published JP applications from 1975 Granted JP patents from 1996 Titles (EN) : from 1976 Abstracts (EN) : from 1976  PAJ JP Cl. (FI/F-terms) : from 1885 Full-text : from 1993

11. esp@cenet : Coverage All EP applications from 1978 Titles (EN and original) : from 1978 Abstracts (EN and original) : from 1978 Int. Cl. : from 1978 EP Cl. (ECLA) : from 1978 Full-text : from 1978

12. esp@cenet : Coverage Other applications/patents vary in availability Titles (EN and original) : various Abstracts (EN and original) : various Int. Cl. : various EP Cl. (ECLA) : various Full-text : various

13. esp@cenet : Coverage United Kingdom coverage ( )

14. esp@cenet : Coverage Italy coverage (  )

15. esp@cenet : Coverage Israel coverage

16. Comparison : PATENTSCOPE vs. esp@cenet (IL coverage) Biblio. DataAbstractsFull-textImages PATENTSCOPE (1900-2009) EN/HEYes (2000-2010) Yes esp@cenet (1965-2000) ENNo Yes (1970-1990)

17. PATENTSCOPE® : Simple search Search by single criterion (text, number, classification, name, publication date) Select language, stemming

18. PATENTSCOPE® : Structured search Search by multiple criteria Basic Boolean operators : AND, OR Select collection, language, stemming

19. PATENTSCOPE® : Structured search Search by multiple criteria Basic Boolean operators : AND, OR Select collection, language, stemming

20. PATENTSCOPE® : Structured search Search by multiple criteria Command-line language (field codes, Boolean and other operators) Select collection, language, stemming

21. PATENTSCOPE® : Advanced search – Field codes Serial numbers Titles Abstract Patent classification Dates Applicant data Inventor data Legal data Language

22. esp@cenet : Quick search Search in title/abstract, applicant/inventor, or full-text (EP, WO only) Select collection (EP, WO, all) Limited to four search terms, no operators

23. esp@cenet : Advanced search Search by multiple criteria (full-text available for EP, WO only) Select collection (EP, WO, all) Limited to four search terms per field, no operators

24. esp@cenet : Smart search Search by multiple criteria (full-text available for EP, WO only) Command-line search (field codes, Boolean operators) Limited to four search terms, no selection of collections

25. esp@cenet : Smart search – Field codes Serial numbers Titles Abstract Patent classification Applicant/inventor name Citation data

26. JPO IPDL : Keyword search

27. JPO IPDL : Advanced search

28. JPO IPDL : Patent Abstracts of Japan (PAJ)

29. JPO IPDL : PAJ Records

30. USPTO PatFT/AppFT : Boolean Search

31. USPTO PatFT/AppFT : Manual Search

32. USPTO PatFT/AppFT : Manual Search – Field codes

33. Patent databases : Syntax – Wildcard operators PATENTSCOPE ® search service : * esp@cenet : * JPO IPDL : [implied wildcard] USPTO : $ PATENTSCOPE ® search service : ? (string of length 1) esp@cenet : ? (string of length 0 to 1) esp@cenet : # (string of length 1)

34. Patent databases : Syntax – Serial number format PATENTSCOPE ® search service : WO/1998/059529 (new standard) WO/98/59529 (original standard) 1998/059529 (without office code) WO1998059529 (without slashes) Or any combination thereof… esp@cenet : WO9859529 (original standard, no slashes) 9859529 (without office code)

35. Patent databases : Syntax – Serial number format USPTO : Patent numbers 861,799 (original format) 861799 (without commas) USPTO : Application document numbers 20010000044 (four-digit year + seven-digit serial)

36. Patent databases : Flexibilities – Boolean operators ANDORANDNOTXOR PATENTSCOPExxxx esp@cenetxxx JPO IPDLxx USPTOxxx

37. Patent databases : Flexibilities – Other operators ProximityRangeAdditional PATENTSCOPE Unordered Date Number Name Fuzzy search esp@cenet Ordered Unordered Date Number USPTO Date

38. PATENTSCOPE ® search service : National phase entry data

39. esp@cenet : INPADOC legal status

40. JPO IPDL : Legal status search IPR type Doc type Number

41. JPO IPDL : Legal status search Examination data (grant status, citations, etc.) Post-grant data (payment status, etc.)

42. USPTO : Patent Application Information Retrieval (PAIR)

43. esp@cenet : Patent families

44. esp@cenet : Citations Backward citations (to earlier documents) Forward citations (from later documents)

45. esp@cenet : Machine translation Languages supported : English, French, German, Italian, Spanish

46. esp@cenet : Machine translation

47. JPO IPDL : Machine Translation

49. PATENTSCOPE ® search service : Analysis tools Clustering

50. PATENTSCOPE ® search service : Analysis tools Graphical analysis

51. Finding scientific and technical information Google Scholar Scirus Entrez

52. Search engines : Coverage Google Scholar (poorly documented) webpages, journal articles, books Scirus (moderately well documented) “science-related” webpages “special sources” (journal articles, patents, etc.) Entrez (extremely well documented) journal articles, books (biomedical and related fields) chemical structures, protein and gene sequences, etc.

53. Scirus : Advanced Search

54. Scirus : Features Field searches (article title, journal title, author name, author affiliation, keyword, ISSN, URL fragment) Example: author:smith Boolean operators (AND, OR, ANDNOT, +, - ) Example: plastic AND bicycle Example: DNA -sequencing

55. Scirus : Features Phrases Example: “electric car” Truncation (right, internal, left; single character, unlimited characters) Example: car*  car, cars, carbon Example: car?  car, cars, cart Example: alumin?um  aluminum, aluminium Example: *capsul*  capsule, capsules, encapsulate, encapsulation

56. Scirus : Features Filtering (date, information type, file format, content source, subject area)  advanced search only Results filtering (suggested keywords)

57. Scirus : Filtering

58. Scirus : Results filtering

59. Google Scholar : Advanced search

60. Google Scholar : Features Field searches (title, author) Example: author:jones Boolean and logical operators (OR, +, - ) Example: tennis ball OR racket Example: vaccine -human Phrases Example: “plastic bicycle” Proximity operator Example: “treatment * cancer” Filtering (date, journal title, subject area)  advanced search only

61. Google Scholar : Features Citations Results grouping (additional versions)

62. Google Scholar : Caution Indexing not always accurate (especially in older documents)  irrelevant results Keyword “aspirin”? Published in 1845?

63. Entrez : All databases search

64. Entrez PubMed : Features Field searches Article title, journal title, author name, keyword, etc. Also: Gene name, protein name, substance name, organism, accession number, CAS/Enzyme Commission registry number Example: 58-08-2[ECNO]  CAS registry number 58-08-2 (caffeine)

65. Entrez PubMed Boolean operators (AND, OR, NOT) Phrases Filtering (full-text/abstract, article type, language, journal type, subject area, human/animal, male/female, age) MeSH

66. Medical Subject Headings (MeSH) Anatomy [A] Organisms [B] Diseases [C] Chemicals and Drugs [D] Analytical, Diagnostic and Therapeutic Techniques and Equipment [E] Psychiatry and Psychology [F] Phenomena and Processes [G] Disciplines and Occupations [H] Anthropology, Education, Sociology and Social Phenomena [I] Technology, Industry, Agriculture [J] Humanities [K] Information Science [L] Named Groups [M] Health Care [N] Publication Characteristics [V] Geographicals [Z]

67. MeSH : Example D Chemicals and Drugs D08 Enzymes and Coenzymes D08.811 Enzymes D08.811.600 Multienzyme Complexes D08.811.600.541 Lactose Synthase

68. Thank you for your attention! For more information, please contact: patentscope@wipo.int

69. Websites : Patent databases WIPO (PATENTSCOPE® search service) http://www.wipo.int/pctdb/ EPO (esp@cenet) http://www.espacenet.com/ JPO IPDL http://www.ipdl.inpit.go.jp/ USPTO http://patft.uspto.gov/ And many more http://www.wipo.int/patentscope/en/search/ national_databases.html

70. Websites : Science and technology search engines Google Scholar http://scholar.google.com Scirus http://www.scirus.com Entrez PubMed www.ncbi.nlm.nih.gov/Entrez/ MeSH Browser http://www.nlm.nih.gov/mesh/MBrowser.html