PATSTAT Online. Query features and result display. Martin Kracker EPO, Vienna, Electronic Publication and Dissemination

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1 PATSTAT Online Query features and result display Martin Kracker EPO, Vienna, Electronic Publication and Dissemination Tokyo,

2 Patent Information Services for Experts - Platform PISE 2

3 PISE Login Screen (Patent Information Services for Experts) More info on all PISE databases see: 3

4 PISE Login Screen Select user interface language (de/en/fr, GPI also Spanish / Japanese) One entry point for several databases Free database: No registration EP applications and specifications (A/B publications since early Sept 2013) Subscription databases: Require login EP Bulletin Global Patent Index (GPI) PATSTAT with / without legal status; 2 most recent editions 4

5 General functionality of PISE databases Similar look & feel for all databases Screen layout Heavy use of tool tips Drag & drop of search criteria Resizing of Windows Global Settings Similar functionality: Query management Document display Print Download Built-in charts 5

6 Query Window 6

7 Query Window layout 4 main windows Tables and attributes Query Messages Query history 7 7

8 Functionality of Query Window List of tables with attributes Additional tables and attributes (not in PATSTAT raw data) docdb_family_citation Industries Harmonized names (in tls206_person table) Pre-computed attributes for easier querying SQL query window (MySQL dialect) Execution messages Number of rows returned or Error messages Query Management 8

9 Relational Database concepts column / attribute / field tls201_appln row appln_id table appln_auth appln_nr ipr_type... 1 AU PI 2 AU PI 3 AT PI 4 AT UM value domain / data type / allowed values: e.g. numbers, strings, predefined lists (like ST.3),... 9

10 A relational database contains one or more tables each attribute of a row contains an elementary data, e. g. one IPC one application number one abstract (regarded as one string, not as a sequence of words!) is well suited for structured data, not for text or images (because e. g. text is usually treated as a complex data element, containing paragraphs, sentences, words,...) 10

11 PATSTAT data model Covers: - PATSTAT Raw Data - Legal status data - PATSTAT online extensions The Data Catalog contains the detailed description Source: PATSTAT Data Catalog v5.00 Families Title, abstract, various relations between applications Legal Events (product , to be purchased separately) Reference tables (PATSTAT online Extension) TLS203_APPLN_ABSTR,FK1,FK1 TLS202_APPLN_TITLE,FK1 APPLN_ID APPLN_TITLE APPLN_ID APPLN_ABSTRACT TLS204_APPLN_PRIOR,FK1 APPLN_ID,FK2 PRIOR_APPLN_ID FK2 PRIOR_APPLN_SEQ_NR FK1 TLS205_TECH_REL FK2,FK1 APPLN_ID,FK2 TECH_REL_APPLN_ID FK1 TLS216_APPLN_CONTN,FK1,FK2,FK1 APPLN_ID PARENT_APLN_ID CONTN_TYPE TLS218_DOCDB_FAM APPLN_ID DOCDB_FAMILY_ID TLS219_INPADOC_FAM APPLN_ID INPADOC_FAMILY_ID TLS221_INPADOC_PRS,FK1 APPLN_ID PRS_EVENT_SEQ_NR PRS_GAZETTE_DATE PRS_CODE L501EP L502EP L503EP L504EP L505EP L506EP L507EP L508EP L509EP L510EP L511EP L512EP L513EP L515EP L516EP L517EP L518EP L519EP L520EP L522EP L523EP L524EP L525EP DOCDB_FAMILY_CITATION CITED_DOCDB_FAMILY_ID CITING_DOCDB_FAMILY_ID INDUSTRY_IPC INDUSTRY_ID IPC TECHN_FIELD_IPC TECHNICAL_FIELD IPC_SUBCLASS_SYMBOL see Note B 0..1 see Note C FK1 FK2 FK1 TLS201_APPLN APPLN_ID APPLN_AUTH APPLN_NR APPLN_KIND APPLN_FILING_DATE APPLN_NR_EPODOC IPR_TYPE APPLN_TITLE_LG APPLN_ABSTR_LG INTERNAT_APPLN_ID APPLN_FILING_YEAR_MONTH APPLN_FILING_YEAR PRIOR_EARLIEST_DATE PRIOR_EARLIEST_YEAR_MONTH PRIOR_EARLIEST_YEAR PUBLN_EARLIEST_DATE PUBLN_EARLIEST_YEAR_MONTH PUBLN_EARIEST_YEAR PUBLN_EARLIEST_REF EARLIEST_PAT_PUBLN_ID NB_APPLICANTS NB_INVENTORS NB_CITATIONS GRANTED DOCDB_FAMILY_ID DOCDB_FAMILY_SIZE TLS207_PERS_APPLN,FK2,FK1 FK1 PERSON_ID APPLN_ID APPLT_SEQ_NR INVT_SEQ_NR TLS226_PERSON_ORIG PERSON_ORIG_ID PERSON_ID SOURCE SOURCE_VERSION NAME_FREEFORM LAST_NAME FIRST_NAME MIDDLE_NAME ADDRESS_FREEFORM STREET CITY ZIP_CODE STATE PERSON_CTRY_CODE RESIDENCE_CTRY_CODE ROLE FK2 1.. FK1,FK1,FK1 TLS209_APPLN_IPC APPLN_ID IPC_CLASS_SYMBOL IPC_CLASS_LEVEL IPC_VERSION IPC_VALUE IPC_POSITION IPC_GENER_AUTH IPC_SUBCLASS_SYMBOL TECHN_FIELD TLS210_APPL_N_CLS APPLN_ID NAT_CLASS_SYMBOL,FK1 FK2 FK4 FK3 TLS215_CITN_CATEG,FK1,FK1,FK1 FK4 TLS222_APPLN_JP_CLASS,FK1,FK1 PAT_PUBLN_ID CITN_ID CITN_CATEG TLS224_APPLN_CPC APPLN_ID CPC_CLASS_SYMBOL CPC_SCHEME CPC_VERSION CPC_VALUE CPC_POSITION CPC_GENER_AUTH CPC_MAINGROUP_SYMBOL APPLN_ID JP_CLASS_SCHEME JP_CLASS_SYMBOL TLS223_APPLN_DOCUS APPLN_ID DOCUS_CLASS_SYMBOL TLS212_CITATION TLS206_PERSON see Note A PAT_PUBLN_ID CITN_ID CITN_ORIGIN CITED_PAT_PUBLN_ID CITED_APPLN_ID PAT_CITN_SEQ_NR NPL_PUBLN_ID NPL_CITN_SEQ_NR CITN_GENER_AUTH TLS214_NPL_PUBLN FK3 1.. PERSON_ID PERSON_CTRY_CODE DOC_STD_NAME_ID PERSON_NAME PERSON_ADDRESS DOC_STD_NAME DOC_STD_NAME_ID_REPLENISHED HRM_L1 HRM_L2 HRM_LEVEL HRM_L2_ID SECTOR HAN_ID HAN_NAME HAN_HARMONIZED NPL_PUBLN_ID NPL_BIBLIO Key for tables and column names: FK1 FK2 FK2 1.. TLS208_DOC_STD_NAMES FK1 TLS211_PAT_PUBLN PAT_PUBLN_ID PUBLN_AUTH PUBLN_NR PUBLN_KIND APPLN_ID PUBLN_DATE PUBLN_LG PUBLN_FIRST_GRANT PUBLN_CLAIMS TLS227_PERS_PUBLN,FK2,FK1 Product : Worldwide Legal Status (to be purchased separately) PERSON_ID PAT_PUBLN_ID APPLT_SEQ_NR INVT_SEQ_NR DOC_STD_NAME_ID DOC_STD_NAME PATSTAT online Extension only see Classifications FK1 11 Publications, citations Applicants, inventors

12 SQL (Structured Query Language) A language to define database structures, insert/update/delete rows and to query a relational database Widely known in IT; industry standard Small (?) differences between MySQL, MS SQL Server, MS Access, Oracle, DB2,... PATSTAT/PISE uses MySQL dialect; soon to change to MS SQL Server dialect For "occasional users" SQL can be generated graphically / with assistants (e. g. MS Access) 12

13 SQL - One slide introduction Example: SELECT appln_id, appln_auth, appln_nr, appln_filing_date FROM tls201_appln WHERE appln_auth = 'PL retrieves all applications filed in Poland SELECT <attribute name>,... attributes you want to see FROM <table name> tables used WHERE <condition> filter (AND, OR, NOT, =, <>, <,... Note: SQL is not case-sensitive Use line breaks and tabs to make it readable (for you) 13

14 Table Window 14

15 Table Window layout Query Messages Result Table = result of a query 15

16 Load, execute and modify a query Task: Retrieve all Polish applications filed in SELECT appln_id, appln_auth, appln_nr, appln_filing_date, prior_earliest_year FROM tls201_appln WHERE appln_auth = 'PL' AND appln_filing_year =

17 Functionality of Table Window Display table with retrieved data appln_id is clickable to display some data Download table: up to rows 17

18 Linking tables (1) In PATSTAT, patent data is broken into multiple tables. So, typically you have to query multiple tables to get useful answers. Luckily, tables can be joined. The JOIN is a very powerful feature of SQL and you will use it for most queries. One JOIN clause can connect 2 tables. To connect more tables, multiple JOIN clauses will be used. 18

19 Linking tables (2) How tables should be joined in a meaningful way, is defined in the Data Catalog. 19

20 JOINing multiple tables: 1:1 join Task: Add the title to your result SELECT tls202_appln_title., tls201_appln.appln_id, appln_auth, appln_nr, appln_filing_date, prior_earliest_year FROM tls201_appln JOIN tls202_appln_title ON tls201_appln.appln_id = tls202_appln_title.appln_id WHERE appln_auth = 'PL' AND appln_filing_year =

21 JOINing multiple tables: 1:n join Task: Add the CPC codes to your result SELECT tls224_appln_cpc., tls201_appln. FROM tls201_appln JOIN tls224_appln_cpc ON tls201_appln.appln_id = tls224_appln_cpc.appln_id WHERE appln_auth = 'PL' AND cpc_class_symbol LIKE 'Y02E 10/%' 21

22 Links between multiple tables: person tables tls201_appln tls207_pers_appln tls206_person appln_id appln_auth appln_nr ipr_type EP PI person_id appln_id applt_seq_nr invt_seq_nr person_id person_cty_code person_name DE Pompe, Wolfgang DE Technische Uni.. Join possibility Fragment of the real database (Oct 2011 version) 22

23 Grouping and counting (1) SELECT appln_auth, appln_filing_year FROM tls201_appln WHERE appln_filing_year BETWEEN 2005 AND 2008 GROUP BY appln_auth, appln_filing_year ORDER BY appln_filing_year, appln_auth Only GROUP BY attributes allowed in SELECT The GROUP BY is followed by one or more attributes. All rows which have the same values for these attributes are compressed into 1 row 23

24 Grouping and counting (2) SELECT appln_auth, appln_filing_year, COUNT() FROM tls201_appln WHERE appln_filing_year BETWEEN 2005 AND 2008 GROUP BY appln_auth, appln_filing_year ORDER BY appln_auth, appln_filing_year The COUNT() returns the number of rows (here: applications) which are compressed into a single row by the GROUP BY clause (here: filing year and office) In plain words: This query computes the number of applications per office and filing year. 24

25 Grouping and counting (3) Task: Retrieve for all applications filed in 2010, grouped by application authority (country): number of applications largest size of a DOCDB family average number of applicants (of an application) ordered by decreasing number of applications per country SELECT appln_auth, COUNT(), MAX(docdb_family_size ), AVG(nb_applicants) FROM tls201_appln WHERE appln_filing_year = 2005 GROUP by appln_auth ORDER BY COUNT() DESCENDING 25

26 Result Window 26

27 Result Window layout: only if application IDs are retrieved Query Application number and filing date some bibliographic information with links to Espacenet and WIPO IPCs 27

28 Functionality of Result Window Only selectable if the retrieved data contains an appln_id attribute Display result list (list of application number with filing date) Display of documents with some bibliographic information Link from publication number to Espacenet Link from IPC symbol to WIPO IPC database Fields are customizable Various download options 28

29 Thank your for your attention 29

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