II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria)
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II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria)

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    II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria) II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria) Presentation Transcript

    • Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services Geert Boedt Christian Soltmann 15 April 2014
    • © European Patent Office 2014 Outline PATSTAT product family Using PATSTAT data with popular tools: – Excel example – KNIME example Case studies: – patent activity of industry sectors – EPO-OHIM study
    • © European Patent Office 2014 PATSTAT product family
    • © European Patent Office 2014 EPO Worldwide Patent Statistical Database (PATSTAT): unique basis for conducting sophisticated statistical analyses of patent data bibliographic data on more than 80 million patent documents from leading industrialized and developing countries can be supplemented by: – legal event data of patent documents in many countries worldwide – European patent register data: Bibliographic, legal and procedural information on published European patent applications and on published EURO-PCT applications EPO Worldwide Patent Statistical Database (PATSTAT)European Patent Register for PATSTAT EPO worldwide legal status database for PATSTAT
    • © European Patent Office 2014 updated twice a year possible fields of application include: – sophisticated citation analyses – linking patent data to business and trademark data – identifying technological trends – identifying competitors and potential partners EPO Worldwide Patent Statistical Database (PATSTAT)European Patent Register for PATSTAT EPO worldwide legal status database for PATSTAT EPO Worldwide Patent Statistical Database (PATSTAT):
    • © European Patent Office 2014 Database implementation PATSTAT European Patent Register for PATSTAT EPO worldwide legal status database for PATSTAT DBMS […] user1 usern[…]Interface Excel […] SPSSRKNIME
    • © European Patent Office 2014 Using PATSTAT data with popular tools
    • © European Patent Office 2014 Accessing PATSTAT data various options available to access PATSTAT data, including using: – a database management system (e.g. MySQL, Microsoft SQL Server) – a statistical tool (e.g. SPSS, R) – a data mining tool, e.g. KNIME – office software, e.g. Microsoft Access, Microsoft Excel
    • © European Patent Office 2014 Processing PATSTAT data: Excel example PATSTAT European Patent Register for PATSTAT EPO worldwide legal status database for PATSTAT DBMS ODBC Excel VBA scripting: technical features of procedure is hidden from end user procedure: a.creating ActiveX Data Objects for accessing data objects on DBMS: – Connection object to establish connection to DBMS via ODBC and to have SQL query run – Recordset object to accept result set of SQL query b.result set is processed with PivotTable and PivotChart object c.graphs may be coordinated to corporate design
    • © European Patent Office 2014 Processing PATSTAT data: Excel example PATSTAT European Patent Register for PATSTAT EPO worldwide legal status database for PATSTAT DBMS ODBC Excel VBA scripting: – technical features of procedure is hidden from end user – procedure: a.creating ActiveX Data Objects for accessing data objects on DBMS: • Connection object to establish connection to DBMS via ODBC and to have SQL query run • Recordset object to accept result set of SQL query b.result set is processed with PivotTable and PivotChart object c.graphs may be adjusted to corporate design
    • © European Patent Office 2014 Processing PATSTAT data: Excel example sample result for wind energy sector (defined by patent class domain Y02E10/70):
    • © European Patent Office 2014 Processing PATSTAT data: KNIME example open source data analytics, reporting and integration platform modular data pipelining concept graphical user interface allowing to assembly nodes for data processing further information available at: http://www.knime.org/
    • © European Patent Office 2014 sample dataflow: number of inventions in the wind energy sector: a. query PATSTAT database b. extract result table c. process result table – optionally combination with other data d. aggregate data e. display results Processing PATSTAT data: KNIME example
    • © European Patent Office 2014 Processing PATSTAT data: KNIME example
    • © European Patent Office 2014 Processing PATSTAT data: KNIME example
    • © European Patent Office 2014 Processing PATSTAT data: PATSTAT database scheme
    • © European Patent Office 2014 Processing PATSTAT data: KNIME example
    • © European Patent Office 2014 Processing PATSTAT data: KNIME example
    • © European Patent Office 2014 Case studies: Patent activity of industry sectors
    • © European Patent Office 2014 Patent activity of industry sectors: Motivation interest in patent activity as a proxy for the input side of innovation target groups: – investors – policy makers procedure: linking patent data and business data to identify industry sectors with high patent/innovation activity EPO Worldwide Patent Statistical Database (PATSTAT)European Patent Register for PATSTAT EPO worldwide legal status database for PATSTAT NACE classification IPC/NACE concordance
    • © European Patent Office 2014 Patent activity of industry sectors procedure: – categorisation of patent documents according to so-called (manufacturing) sectoral fields [based on IPC/NACE concordance table (Schmoch et al. (2003)] – determining the number of inventions per year of invention for the said sectoral fields – data normalisation, to 1980
    • © European Patent Office 2014 Patent activity of industry sectors Description Food,beverages Tobaccoproducts Textiles Wearing apparel Leather articles Wood products Paper Petroleum products,nuclearfuel Basic chemical Pesticides,agro-chemicalproducts Paints, varnishes Pharmaceuticals Soaps,detergents,toilet preparations Other chemicals Man-made fibres Rubber and plastics products Non-metallic mineralproducts Basic metals Fabricated metalproducts Energy machinery Non-specific purpose machinery Agriculturaland forestry machinery Machine-tools Specialpurpose machinery Weapons and ammunition Domestic appliances Office machineryand computers Electric motors,generators,transformers Electric distribution,control,wire,cable Accumulators,battery Lightening equipment Other electricalequipment Electronic components Signaltransmission,telecommunications Television and radio receivers,audiovisualelectronics Medicalequipment Measuring instruments Industrialprocess controlequipment Optical instruments Watches, clocks Motor vehicles Other transportequipment Furniture,consumer goods
    • © European Patent Office 2014 Case studies: EPO-OHIM study
    • © European Patent Office 2014 Example: Linking patent data, trademark data and design data: Joint project of European Patent Office and the Office for Harmonization in the Internal Market (OHIM): – purpose: to examine economic characteristics of IP-intensive industries in Europe – methodology: determine which industries use IP rights more than others determine employment and value added generated in those industries determine weight of IP-intensive industries in Europe
    • © European Patent Office 2014 Example: Linking patent data, trademark data and design data: methodological challenge: – complexity of dealing with a large amount of data from 27 EU member states, contained in several databases – novel and sophisticated data-matching technique was needed, including extensive data preparation/name harmonisation in order to determine which industries are IP-intensive: – matching EPO's Worldwide Patent Statistical Database (PATSTAT) and OHIM's register database with commercial ORBIS database and EUROSTAT data
    • © European Patent Office 2014 Linking patent data, trademark data and design data to determine IP intensive industries: Patent applications published and patents granted by EPO Community trademarks and registered community designs EPO's PATSTAT database OHIM's register database ORBIS database PATSTAT- ORBIS concordance OHIM-ORBIS concordance Concordance schema Industry classification and other information for more than 20 million European companies Example: Linking patent data, trademark data and design data: EUROSTAT dataNACE code
    • © European Patent Office 2014 Example: Linking patent data, trademark data and design data: Results include: – about half of European industries can be considered IP- intensive – total number of IP-dependent jobs: about 77 million (35 per cent of all jobs) – IP-intensive industries pay significantly higher wages than other industries – value added per employee is higher in IP-intensive industries than elsewhere in European economy further information available at: http://ec.europa.eu/internal_market/intellectual- property/studies/index_en.htm
    • Thank you for your attention! Christian Soltmann csoltmann@epo.org